Datasets:

ftopal
/

huggingface-models-processed

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train · 320k rows

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translation	transformers	### opus-mt-pon-en * source languages: pon * target languages: en * OPUS readme: [pon-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pon.en \| 34.1 \| 0.489 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pon-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pon", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pon #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pon-en * source languages: pon * target languages: en * OPUS readme: pon-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.1, chr-F: 0.489	[ "### opus-mt-pon-en\n\n\n* source languages: pon\n* target languages: en\n* OPUS readme: pon-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.489" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pon-en\n\n\n* source languages: pon\n* target languages: en\n* OPUS readme: pon-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.489" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pon-en\n\n\n* source languages: pon\n* target languages: en\n* OPUS readme: pon-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.489" ]
translation	transformers	### opus-mt-pon-es * source languages: pon * target languages: es * OPUS readme: [pon-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pon.es \| 22.4 \| 0.402 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pon-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pon", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pon #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pon-es * source languages: pon * target languages: es * OPUS readme: pon-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.4, chr-F: 0.402	[ "### opus-mt-pon-es\n\n\n* source languages: pon\n* target languages: es\n* OPUS readme: pon-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.402" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pon-es\n\n\n* source languages: pon\n* target languages: es\n* OPUS readme: pon-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.402" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pon-es\n\n\n* source languages: pon\n* target languages: es\n* OPUS readme: pon-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.402" ]
translation	transformers	### opus-mt-pon-fi * source languages: pon * target languages: fi * OPUS readme: [pon-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pon.fi \| 22.2 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pon-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pon", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pon #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pon-fi * source languages: pon * target languages: fi * OPUS readme: pon-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.2, chr-F: 0.434	[ "### opus-mt-pon-fi\n\n\n* source languages: pon\n* target languages: fi\n* OPUS readme: pon-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.2, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pon-fi\n\n\n* source languages: pon\n* target languages: fi\n* OPUS readme: pon-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.2, chr-F: 0.434" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pon-fi\n\n\n* source languages: pon\n* target languages: fi\n* OPUS readme: pon-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.2, chr-F: 0.434" ]
translation	transformers	### opus-mt-pon-fr * source languages: pon * target languages: fr * OPUS readme: [pon-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pon.fr \| 24.4 \| 0.410 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pon-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pon", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pon #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pon-fr * source languages: pon * target languages: fr * OPUS readme: pon-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.4, chr-F: 0.410	[ "### opus-mt-pon-fr\n\n\n* source languages: pon\n* target languages: fr\n* OPUS readme: pon-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.410" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pon-fr\n\n\n* source languages: pon\n* target languages: fr\n* OPUS readme: pon-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.410" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pon-fr\n\n\n* source languages: pon\n* target languages: fr\n* OPUS readme: pon-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.410" ]
translation	transformers	### opus-mt-pon-sv * source languages: pon * target languages: sv * OPUS readme: [pon-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pon.sv \| 26.4 \| 0.436 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pon-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pon", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pon #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pon-sv * source languages: pon * target languages: sv * OPUS readme: pon-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.4, chr-F: 0.436	[ "### opus-mt-pon-sv\n\n\n* source languages: pon\n* target languages: sv\n* OPUS readme: pon-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.436" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pon-sv\n\n\n* source languages: pon\n* target languages: sv\n* OPUS readme: pon-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.436" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pon #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pon-sv\n\n\n* source languages: pon\n* target languages: sv\n* OPUS readme: pon-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.436" ]
translation	transformers	### pqe-eng * source group: Eastern Malayo-Polynesian languages * target group: English * OPUS readme: [pqe-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pqe-eng/README.md) * model: transformer * source language(s): fij gil haw mah mri nau niu rap smo tah ton tvl * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-28.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.zip) * test set translations: [opus-2020-06-28.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.test.txt) * test set scores: [opus-2020-06-28.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fij-eng.fij.eng \| 26.9 \| 0.361 \| \| Tatoeba-test.gil-eng.gil.eng \| 49.0 \| 0.618 \| \| Tatoeba-test.haw-eng.haw.eng \| 1.6 \| 0.126 \| \| Tatoeba-test.mah-eng.mah.eng \| 13.7 \| 0.257 \| \| Tatoeba-test.mri-eng.mri.eng \| 7.4 \| 0.250 \| \| Tatoeba-test.multi.eng \| 12.6 \| 0.268 \| \| Tatoeba-test.nau-eng.nau.eng \| 2.3 \| 0.125 \| \| Tatoeba-test.niu-eng.niu.eng \| 34.4 \| 0.471 \| \| Tatoeba-test.rap-eng.rap.eng \| 10.3 \| 0.215 \| \| Tatoeba-test.smo-eng.smo.eng \| 28.5 \| 0.413 \| \| Tatoeba-test.tah-eng.tah.eng \| 12.1 \| 0.199 \| \| Tatoeba-test.ton-eng.ton.eng \| 41.8 \| 0.517 \| \| Tatoeba-test.tvl-eng.tvl.eng \| 42.9 \| 0.540 \| ### System Info: - hf_name: pqe-eng - source_languages: pqe - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pqe-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe', 'en'] - src_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.test.txt - src_alpha3: pqe - tgt_alpha3: eng - short_pair: pqe-en - chrF2_score: 0.268 - bleu: 12.6 - brevity_penalty: 1.0 - ref_len: 4568.0 - src_name: Eastern Malayo-Polynesian languages - tgt_name: English - train_date: 2020-06-28 - src_alpha2: pqe - tgt_alpha2: en - prefer_old: False - long_pair: pqe-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fj", "mi", "ty", "to", "na", "sm", "mh", "pqe", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pqe-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fj", "mi", "ty", "to", "na", "sm", "mh", "pqe", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fj", "mi", "ty", "to", "na", "sm", "mh", "pqe", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fj #mi #ty #to #na #sm #mh #pqe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### pqe-eng * source group: Eastern Malayo-Polynesian languages * target group: English * OPUS readme: pqe-eng * model: transformer * source language(s): fij gil haw mah mri nau niu rap smo tah ton tvl * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.9, chr-F: 0.361 testset: URL, BLEU: 49.0, chr-F: 0.618 testset: URL, BLEU: 1.6, chr-F: 0.126 testset: URL, BLEU: 13.7, chr-F: 0.257 testset: URL, BLEU: 7.4, chr-F: 0.250 testset: URL, BLEU: 12.6, chr-F: 0.268 testset: URL, BLEU: 2.3, chr-F: 0.125 testset: URL, BLEU: 34.4, chr-F: 0.471 testset: URL, BLEU: 10.3, chr-F: 0.215 testset: URL, BLEU: 28.5, chr-F: 0.413 testset: URL, BLEU: 12.1, chr-F: 0.199 testset: URL, BLEU: 41.8, chr-F: 0.517 testset: URL, BLEU: 42.9, chr-F: 0.540 ### System Info: * hf\_name: pqe-eng * source\_languages: pqe * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe', 'en'] * src\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: pqe * tgt\_alpha3: eng * short\_pair: pqe-en * chrF2\_score: 0.268 * bleu: 12.6 * brevity\_penalty: 1.0 * ref\_len: 4568.0 * src\_name: Eastern Malayo-Polynesian languages * tgt\_name: English * train\_date: 2020-06-28 * src\_alpha2: pqe * tgt\_alpha2: en * prefer\_old: False * long\_pair: pqe-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### pqe-eng\n\n\n* source group: Eastern Malayo-Polynesian languages\n* target group: English\n* OPUS readme: pqe-eng\n* model: transformer\n* source language(s): fij gil haw mah mri nau niu rap smo tah ton tvl\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.361\ntestset: URL, BLEU: 49.0, chr-F: 0.618\ntestset: URL, BLEU: 1.6, chr-F: 0.126\ntestset: URL, BLEU: 13.7, chr-F: 0.257\ntestset: URL, BLEU: 7.4, chr-F: 0.250\ntestset: URL, BLEU: 12.6, chr-F: 0.268\ntestset: URL, BLEU: 2.3, chr-F: 0.125\ntestset: URL, BLEU: 34.4, chr-F: 0.471\ntestset: URL, BLEU: 10.3, chr-F: 0.215\ntestset: URL, BLEU: 28.5, chr-F: 0.413\ntestset: URL, BLEU: 12.1, chr-F: 0.199\ntestset: URL, BLEU: 41.8, chr-F: 0.517\ntestset: URL, BLEU: 42.9, chr-F: 0.540", "### System Info:\n\n\n* hf\\_name: pqe-eng\n* source\\_languages: pqe\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe', 'en']\n* src\\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: pqe\n* tgt\\_alpha3: eng\n* short\\_pair: pqe-en\n* chrF2\\_score: 0.268\n* bleu: 12.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 4568.0\n* src\\_name: Eastern Malayo-Polynesian languages\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: pqe\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: pqe-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #mi #ty #to #na #sm #mh #pqe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pqe-eng\n\n\n* source group: Eastern Malayo-Polynesian languages\n* target group: English\n* OPUS readme: pqe-eng\n* model: transformer\n* source language(s): fij gil haw mah mri nau niu rap smo tah ton tvl\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.361\ntestset: URL, BLEU: 49.0, chr-F: 0.618\ntestset: URL, BLEU: 1.6, chr-F: 0.126\ntestset: URL, BLEU: 13.7, chr-F: 0.257\ntestset: URL, BLEU: 7.4, chr-F: 0.250\ntestset: URL, BLEU: 12.6, chr-F: 0.268\ntestset: URL, BLEU: 2.3, chr-F: 0.125\ntestset: URL, BLEU: 34.4, chr-F: 0.471\ntestset: URL, BLEU: 10.3, chr-F: 0.215\ntestset: URL, BLEU: 28.5, chr-F: 0.413\ntestset: URL, BLEU: 12.1, chr-F: 0.199\ntestset: URL, BLEU: 41.8, chr-F: 0.517\ntestset: URL, BLEU: 42.9, chr-F: 0.540", "### System Info:\n\n\n* hf\\_name: pqe-eng\n* source\\_languages: pqe\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe', 'en']\n* src\\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: pqe\n* tgt\\_alpha3: eng\n* short\\_pair: pqe-en\n* chrF2\\_score: 0.268\n* bleu: 12.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 4568.0\n* src\\_name: Eastern Malayo-Polynesian languages\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: pqe\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: pqe-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 69, 424, 492 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #mi #ty #to #na #sm #mh #pqe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pqe-eng\n\n\n* source group: Eastern Malayo-Polynesian languages\n* target group: English\n* OPUS readme: pqe-eng\n* model: transformer\n* source language(s): fij gil haw mah mri nau niu rap smo tah ton tvl\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.361\ntestset: URL, BLEU: 49.0, chr-F: 0.618\ntestset: URL, BLEU: 1.6, chr-F: 0.126\ntestset: URL, BLEU: 13.7, chr-F: 0.257\ntestset: URL, BLEU: 7.4, chr-F: 0.250\ntestset: URL, BLEU: 12.6, chr-F: 0.268\ntestset: URL, BLEU: 2.3, chr-F: 0.125\ntestset: URL, BLEU: 34.4, chr-F: 0.471\ntestset: URL, BLEU: 10.3, chr-F: 0.215\ntestset: URL, BLEU: 28.5, chr-F: 0.413\ntestset: URL, BLEU: 12.1, chr-F: 0.199\ntestset: URL, BLEU: 41.8, chr-F: 0.517\ntestset: URL, BLEU: 42.9, chr-F: 0.540### System Info:\n\n\n* hf\\_name: pqe-eng\n* source\\_languages: pqe\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe', 'en']\n* src\\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: pqe\n* tgt\\_alpha3: eng\n* short\\_pair: pqe-en\n* chrF2\\_score: 0.268\n* bleu: 12.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 4568.0\n* src\\_name: Eastern Malayo-Polynesian languages\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: pqe\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: pqe-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-prl-es * source languages: prl * target languages: es * OPUS readme: [prl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/prl-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.prl.es \| 93.3 \| 0.955 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-prl-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "prl", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #prl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-prl-es * source languages: prl * target languages: es * OPUS readme: prl-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 93.3, chr-F: 0.955	[ "### opus-mt-prl-es\n\n\n* source languages: prl\n* target languages: es\n* OPUS readme: prl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 93.3, chr-F: 0.955" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #prl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-prl-es\n\n\n* source languages: prl\n* target languages: es\n* OPUS readme: prl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 93.3, chr-F: 0.955" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #prl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-prl-es\n\n\n* source languages: prl\n* target languages: es\n* OPUS readme: prl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 93.3, chr-F: 0.955" ]
translation	transformers	### por-cat * source group: Portuguese * target group: Catalan * OPUS readme: [por-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-cat/README.md) * model: transformer-align * source language(s): por * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.por.cat \| 45.7 \| 0.672 \| ### System Info: - hf_name: por-cat - source_languages: por - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['pt', 'ca'] - src_constituents: {'por'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt - src_alpha3: por - tgt_alpha3: cat - short_pair: pt-ca - chrF2_score: 0.672 - bleu: 45.7 - brevity_penalty: 0.972 - ref_len: 5878.0 - src_name: Portuguese - tgt_name: Catalan - train_date: 2020-06-17 - src_alpha2: pt - tgt_alpha2: ca - prefer_old: False - long_pair: por-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["pt", "ca"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pt-ca	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pt", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "pt", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pt #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### por-cat * source group: Portuguese * target group: Catalan * OPUS readme: por-cat * model: transformer-align * source language(s): por * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.7, chr-F: 0.672 ### System Info: * hf\_name: por-cat * source\_languages: por * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['pt', 'ca'] * src\_constituents: {'por'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: por * tgt\_alpha3: cat * short\_pair: pt-ca * chrF2\_score: 0.672 * bleu: 45.7 * brevity\_penalty: 0.972 * ref\_len: 5878.0 * src\_name: Portuguese * tgt\_name: Catalan * train\_date: 2020-06-17 * src\_alpha2: pt * tgt\_alpha2: ca * prefer\_old: False * long\_pair: por-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### por-cat\n\n\n* source group: Portuguese\n* target group: Catalan\n* OPUS readme: por-cat\n* model: transformer-align\n* source language(s): por\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.672", "### System Info:\n\n\n* hf\\_name: por-cat\n* source\\_languages: por\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'ca']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: cat\n* short\\_pair: pt-ca\n* chrF2\\_score: 0.672\n* bleu: 45.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 5878.0\n* src\\_name: Portuguese\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: por-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### por-cat\n\n\n* source group: Portuguese\n* target group: Catalan\n* OPUS readme: por-cat\n* model: transformer-align\n* source language(s): por\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.672", "### System Info:\n\n\n* hf\\_name: por-cat\n* source\\_languages: por\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'ca']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: cat\n* short\\_pair: pt-ca\n* chrF2\\_score: 0.672\n* bleu: 45.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 5878.0\n* src\\_name: Portuguese\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: por-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 392 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### por-cat\n\n\n* source group: Portuguese\n* target group: Catalan\n* OPUS readme: por-cat\n* model: transformer-align\n* source language(s): por\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.672### System Info:\n\n\n* hf\\_name: por-cat\n* source\\_languages: por\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'ca']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: cat\n* short\\_pair: pt-ca\n* chrF2\\_score: 0.672\n* bleu: 45.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 5878.0\n* src\\_name: Portuguese\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: por-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### por-epo * source group: Portuguese * target group: Esperanto * OPUS readme: [por-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md) * model: transformer-align * source language(s): por * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.por.epo \| 26.8 \| 0.497 \| ### System Info: - hf_name: por-epo - source_languages: por - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['pt', 'eo'] - src_constituents: {'por'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt - src_alpha3: por - tgt_alpha3: epo - short_pair: pt-eo - chrF2_score: 0.49700000000000005 - bleu: 26.8 - brevity_penalty: 0.948 - ref_len: 87408.0 - src_name: Portuguese - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: pt - tgt_alpha2: eo - prefer_old: False - long_pair: por-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["pt", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pt-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pt", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "pt", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pt #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### por-epo * source group: Portuguese * target group: Esperanto * OPUS readme: por-epo * model: transformer-align * source language(s): por * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.8, chr-F: 0.497 ### System Info: * hf\_name: por-epo * source\_languages: por * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['pt', 'eo'] * src\_constituents: {'por'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: por * tgt\_alpha3: epo * short\_pair: pt-eo * chrF2\_score: 0.49700000000000005 * bleu: 26.8 * brevity\_penalty: 0.948 * ref\_len: 87408.0 * src\_name: Portuguese * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: pt * tgt\_alpha2: eo * prefer\_old: False * long\_pair: por-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### por-epo\n\n\n* source group: Portuguese\n* target group: Esperanto\n* OPUS readme: por-epo\n* model: transformer-align\n* source language(s): por\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.497", "### System Info:\n\n\n* hf\\_name: por-epo\n* source\\_languages: por\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'eo']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: epo\n* short\\_pair: pt-eo\n* chrF2\\_score: 0.49700000000000005\n* bleu: 26.8\n* brevity\\_penalty: 0.948\n* ref\\_len: 87408.0\n* src\\_name: Portuguese\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: pt\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: por-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### por-epo\n\n\n* source group: Portuguese\n* target group: Esperanto\n* OPUS readme: por-epo\n* model: transformer-align\n* source language(s): por\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.497", "### System Info:\n\n\n* hf\\_name: por-epo\n* source\\_languages: por\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'eo']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: epo\n* short\\_pair: pt-eo\n* chrF2\\_score: 0.49700000000000005\n* bleu: 26.8\n* brevity\\_penalty: 0.948\n* ref\\_len: 87408.0\n* src\\_name: Portuguese\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: pt\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: por-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 136, 409 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### por-epo\n\n\n* source group: Portuguese\n* target group: Esperanto\n* OPUS readme: por-epo\n* model: transformer-align\n* source language(s): por\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.497### System Info:\n\n\n* hf\\_name: por-epo\n* source\\_languages: por\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'eo']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: epo\n* short\\_pair: pt-eo\n* chrF2\\_score: 0.49700000000000005\n* bleu: 26.8\n* brevity\\_penalty: 0.948\n* ref\\_len: 87408.0\n* src\\_name: Portuguese\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: pt\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: por-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### por-glg * source group: Portuguese * target group: Galician * OPUS readme: [por-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-glg/README.md) * model: transformer-align * source language(s): por * target language(s): glg * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.por.glg \| 55.8 \| 0.737 \| ### System Info: - hf_name: por-glg - source_languages: por - target_languages: glg - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-glg/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['pt', 'gl'] - src_constituents: {'por'} - tgt_constituents: {'glg'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.test.txt - src_alpha3: por - tgt_alpha3: glg - short_pair: pt-gl - chrF2_score: 0.737 - bleu: 55.8 - brevity_penalty: 0.996 - ref_len: 2989.0 - src_name: Portuguese - tgt_name: Galician - train_date: 2020-06-16 - src_alpha2: pt - tgt_alpha2: gl - prefer_old: False - long_pair: por-glg - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["pt", "gl"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pt-gl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pt", "gl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "pt", "gl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pt #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### por-glg * source group: Portuguese * target group: Galician * OPUS readme: por-glg * model: transformer-align * source language(s): por * target language(s): glg * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 55.8, chr-F: 0.737 ### System Info: * hf\_name: por-glg * source\_languages: por * target\_languages: glg * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['pt', 'gl'] * src\_constituents: {'por'} * tgt\_constituents: {'glg'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: por * tgt\_alpha3: glg * short\_pair: pt-gl * chrF2\_score: 0.737 * bleu: 55.8 * brevity\_penalty: 0.996 * ref\_len: 2989.0 * src\_name: Portuguese * tgt\_name: Galician * train\_date: 2020-06-16 * src\_alpha2: pt * tgt\_alpha2: gl * prefer\_old: False * long\_pair: por-glg * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### por-glg\n\n\n* source group: Portuguese\n* target group: Galician\n* OPUS readme: por-glg\n* model: transformer-align\n* source language(s): por\n* target language(s): glg\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 55.8, chr-F: 0.737", "### System Info:\n\n\n* hf\\_name: por-glg\n* source\\_languages: por\n* target\\_languages: glg\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'gl']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'glg'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: glg\n* short\\_pair: pt-gl\n* chrF2\\_score: 0.737\n* bleu: 55.8\n* brevity\\_penalty: 0.996\n* ref\\_len: 2989.0\n* src\\_name: Portuguese\n* tgt\\_name: Galician\n* train\\_date: 2020-06-16\n* src\\_alpha2: pt\n* tgt\\_alpha2: gl\n* prefer\\_old: False\n* long\\_pair: por-glg\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### por-glg\n\n\n* source group: Portuguese\n* target group: Galician\n* OPUS readme: por-glg\n* model: transformer-align\n* source language(s): por\n* target language(s): glg\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 55.8, chr-F: 0.737", "### System Info:\n\n\n* hf\\_name: por-glg\n* source\\_languages: por\n* target\\_languages: glg\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'gl']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'glg'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: glg\n* short\\_pair: pt-gl\n* chrF2\\_score: 0.737\n* bleu: 55.8\n* brevity\\_penalty: 0.996\n* ref\\_len: 2989.0\n* src\\_name: Portuguese\n* tgt\\_name: Galician\n* train\\_date: 2020-06-16\n* src\\_alpha2: pt\n* tgt\\_alpha2: gl\n* prefer\\_old: False\n* long\\_pair: por-glg\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 136, 403 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### por-glg\n\n\n* source group: Portuguese\n* target group: Galician\n* OPUS readme: por-glg\n* model: transformer-align\n* source language(s): por\n* target language(s): glg\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 55.8, chr-F: 0.737### System Info:\n\n\n* hf\\_name: por-glg\n* source\\_languages: por\n* target\\_languages: glg\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'gl']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'glg'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: glg\n* short\\_pair: pt-gl\n* chrF2\\_score: 0.737\n* bleu: 55.8\n* brevity\\_penalty: 0.996\n* ref\\_len: 2989.0\n* src\\_name: Portuguese\n* tgt\\_name: Galician\n* train\\_date: 2020-06-16\n* src\\_alpha2: pt\n* tgt\\_alpha2: gl\n* prefer\\_old: False\n* long\\_pair: por-glg\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### por-tgl * source group: Portuguese * target group: Tagalog * OPUS readme: [por-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md) * model: transformer-align * source language(s): por * target language(s): tgl_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.por.tgl \| 28.4 \| 0.565 \| ### System Info: - hf_name: por-tgl - source_languages: por - target_languages: tgl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['pt', 'tl'] - src_constituents: {'por'} - tgt_constituents: {'tgl_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt - src_alpha3: por - tgt_alpha3: tgl - short_pair: pt-tl - chrF2_score: 0.565 - bleu: 28.4 - brevity_penalty: 1.0 - ref_len: 13620.0 - src_name: Portuguese - tgt_name: Tagalog - train_date: 2020-06-17 - src_alpha2: pt - tgt_alpha2: tl - prefer_old: False - long_pair: por-tgl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["pt", "tl"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pt-tl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pt", "tl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "pt", "tl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pt #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### por-tgl * source group: Portuguese * target group: Tagalog * OPUS readme: por-tgl * model: transformer-align * source language(s): por * target language(s): tgl\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.4, chr-F: 0.565 ### System Info: * hf\_name: por-tgl * source\_languages: por * target\_languages: tgl * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['pt', 'tl'] * src\_constituents: {'por'} * tgt\_constituents: {'tgl\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: por * tgt\_alpha3: tgl * short\_pair: pt-tl * chrF2\_score: 0.565 * bleu: 28.4 * brevity\_penalty: 1.0 * ref\_len: 13620.0 * src\_name: Portuguese * tgt\_name: Tagalog * train\_date: 2020-06-17 * src\_alpha2: pt * tgt\_alpha2: tl * prefer\_old: False * long\_pair: por-tgl * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### por-tgl\n\n\n* source group: Portuguese\n* target group: Tagalog\n* OPUS readme: por-tgl\n* model: transformer-align\n* source language(s): por\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: por-tgl\n* source\\_languages: por\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'tl']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: tgl\n* short\\_pair: pt-tl\n* chrF2\\_score: 0.565\n* bleu: 28.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 13620.0\n* src\\_name: Portuguese\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: por-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### por-tgl\n\n\n* source group: Portuguese\n* target group: Tagalog\n* OPUS readme: por-tgl\n* model: transformer-align\n* source language(s): por\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: por-tgl\n* source\\_languages: por\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'tl']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: tgl\n* short\\_pair: pt-tl\n* chrF2\\_score: 0.565\n* bleu: 28.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 13620.0\n* src\\_name: Portuguese\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: por-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 141, 405 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### por-tgl\n\n\n* source group: Portuguese\n* target group: Tagalog\n* OPUS readme: por-tgl\n* model: transformer-align\n* source language(s): por\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.565### System Info:\n\n\n* hf\\_name: por-tgl\n* source\\_languages: por\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'tl']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: tgl\n* short\\_pair: pt-tl\n* chrF2\\_score: 0.565\n* bleu: 28.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 13620.0\n* src\\_name: Portuguese\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: por-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### por-ukr * source group: Portuguese * target group: Ukrainian * OPUS readme: [por-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-ukr/README.md) * model: transformer-align * source language(s): por * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.por.ukr \| 39.8 \| 0.616 \| ### System Info: - hf_name: por-ukr - source_languages: por - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['pt', 'uk'] - src_constituents: {'por'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.test.txt - src_alpha3: por - tgt_alpha3: ukr - short_pair: pt-uk - chrF2_score: 0.616 - bleu: 39.8 - brevity_penalty: 0.9990000000000001 - ref_len: 18933.0 - src_name: Portuguese - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: pt - tgt_alpha2: uk - prefer_old: False - long_pair: por-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["pt", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-pt-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pt", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "pt", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pt #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### por-ukr * source group: Portuguese * target group: Ukrainian * OPUS readme: por-ukr * model: transformer-align * source language(s): por * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 39.8, chr-F: 0.616 ### System Info: * hf\_name: por-ukr * source\_languages: por * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['pt', 'uk'] * src\_constituents: {'por'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: por * tgt\_alpha3: ukr * short\_pair: pt-uk * chrF2\_score: 0.616 * bleu: 39.8 * brevity\_penalty: 0.9990000000000001 * ref\_len: 18933.0 * src\_name: Portuguese * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: pt * tgt\_alpha2: uk * prefer\_old: False * long\_pair: por-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### por-ukr\n\n\n* source group: Portuguese\n* target group: Ukrainian\n* OPUS readme: por-ukr\n* model: transformer-align\n* source language(s): por\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.8, chr-F: 0.616", "### System Info:\n\n\n* hf\\_name: por-ukr\n* source\\_languages: por\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'uk']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: ukr\n* short\\_pair: pt-uk\n* chrF2\\_score: 0.616\n* bleu: 39.8\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 18933.0\n* src\\_name: Portuguese\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: por-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### por-ukr\n\n\n* source group: Portuguese\n* target group: Ukrainian\n* OPUS readme: por-ukr\n* model: transformer-align\n* source language(s): por\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.8, chr-F: 0.616", "### System Info:\n\n\n* hf\\_name: por-ukr\n* source\\_languages: por\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'uk']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: ukr\n* short\\_pair: pt-uk\n* chrF2\\_score: 0.616\n* bleu: 39.8\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 18933.0\n* src\\_name: Portuguese\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: por-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 402 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pt #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### por-ukr\n\n\n* source group: Portuguese\n* target group: Ukrainian\n* OPUS readme: por-ukr\n* model: transformer-align\n* source language(s): por\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.8, chr-F: 0.616### System Info:\n\n\n* hf\\_name: por-ukr\n* source\\_languages: por\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pt', 'uk']\n* src\\_constituents: {'por'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: por\n* tgt\\_alpha3: ukr\n* short\\_pair: pt-uk\n* chrF2\\_score: 0.616\n* bleu: 39.8\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 18933.0\n* src\\_name: Portuguese\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pt\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: por-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### run-deu * source group: Rundi * target group: German * OPUS readme: [run-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-deu/README.md) * model: transformer-align * source language(s): run * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.run.deu \| 17.1 \| 0.344 \| ### System Info: - hf_name: run-deu - source_languages: run - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['rn', 'de'] - src_constituents: {'run'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.test.txt - src_alpha3: run - tgt_alpha3: deu - short_pair: rn-de - chrF2_score: 0.344 - bleu: 17.1 - brevity_penalty: 0.961 - ref_len: 10562.0 - src_name: Rundi - tgt_name: German - train_date: 2020-06-16 - src_alpha2: rn - tgt_alpha2: de - prefer_old: False - long_pair: run-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["rn", "de"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rn-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rn", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "rn", "de" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rn #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### run-deu * source group: Rundi * target group: German * OPUS readme: run-deu * model: transformer-align * source language(s): run * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 17.1, chr-F: 0.344 ### System Info: * hf\_name: run-deu * source\_languages: run * target\_languages: deu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['rn', 'de'] * src\_constituents: {'run'} * tgt\_constituents: {'deu'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: run * tgt\_alpha3: deu * short\_pair: rn-de * chrF2\_score: 0.344 * bleu: 17.1 * brevity\_penalty: 0.961 * ref\_len: 10562.0 * src\_name: Rundi * tgt\_name: German * train\_date: 2020-06-16 * src\_alpha2: rn * tgt\_alpha2: de * prefer\_old: False * long\_pair: run-deu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### run-deu\n\n\n* source group: Rundi\n* target group: German\n* OPUS readme: run-deu\n* model: transformer-align\n* source language(s): run\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.1, chr-F: 0.344", "### System Info:\n\n\n* hf\\_name: run-deu\n* source\\_languages: run\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'de']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'deu'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: deu\n* short\\_pair: rn-de\n* chrF2\\_score: 0.344\n* bleu: 17.1\n* brevity\\_penalty: 0.961\n* ref\\_len: 10562.0\n* src\\_name: Rundi\n* tgt\\_name: German\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: run-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### run-deu\n\n\n* source group: Rundi\n* target group: German\n* OPUS readme: run-deu\n* model: transformer-align\n* source language(s): run\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.1, chr-F: 0.344", "### System Info:\n\n\n* hf\\_name: run-deu\n* source\\_languages: run\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'de']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'deu'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: deu\n* short\\_pair: rn-de\n* chrF2\\_score: 0.344\n* bleu: 17.1\n* brevity\\_penalty: 0.961\n* ref\\_len: 10562.0\n* src\\_name: Rundi\n* tgt\\_name: German\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: run-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### run-deu\n\n\n* source group: Rundi\n* target group: German\n* OPUS readme: run-deu\n* model: transformer-align\n* source language(s): run\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.1, chr-F: 0.344### System Info:\n\n\n* hf\\_name: run-deu\n* source\\_languages: run\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'de']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'deu'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: deu\n* short\\_pair: rn-de\n* chrF2\\_score: 0.344\n* bleu: 17.1\n* brevity\\_penalty: 0.961\n* ref\\_len: 10562.0\n* src\\_name: Rundi\n* tgt\\_name: German\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: run-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### run-eng * source group: Rundi * target group: English * OPUS readme: [run-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-eng/README.md) * model: transformer-align * source language(s): run * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.run.eng \| 26.7 \| 0.428 \| ### System Info: - hf_name: run-eng - source_languages: run - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['rn', 'en'] - src_constituents: {'run'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.test.txt - src_alpha3: run - tgt_alpha3: eng - short_pair: rn-en - chrF2_score: 0.428 - bleu: 26.7 - brevity_penalty: 0.99 - ref_len: 10041.0 - src_name: Rundi - tgt_name: English - train_date: 2020-06-16 - src_alpha2: rn - tgt_alpha2: en - prefer_old: False - long_pair: run-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["rn", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rn-en	null	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "rn", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "rn", "en" ]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #rn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### run-eng * source group: Rundi * target group: English * OPUS readme: run-eng * model: transformer-align * source language(s): run * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.7, chr-F: 0.428 ### System Info: * hf\_name: run-eng * source\_languages: run * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['rn', 'en'] * src\_constituents: {'run'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: run * tgt\_alpha3: eng * short\_pair: rn-en * chrF2\_score: 0.428 * bleu: 26.7 * brevity\_penalty: 0.99 * ref\_len: 10041.0 * src\_name: Rundi * tgt\_name: English * train\_date: 2020-06-16 * src\_alpha2: rn * tgt\_alpha2: en * prefer\_old: False * long\_pair: run-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### run-eng\n\n\n* source group: Rundi\n* target group: English\n* OPUS readme: run-eng\n* model: transformer-align\n* source language(s): run\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.428", "### System Info:\n\n\n* hf\\_name: run-eng\n* source\\_languages: run\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'en']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: eng\n* short\\_pair: rn-en\n* chrF2\\_score: 0.428\n* bleu: 26.7\n* brevity\\_penalty: 0.99\n* ref\\_len: 10041.0\n* src\\_name: Rundi\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: run-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #rn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### run-eng\n\n\n* source group: Rundi\n* target group: English\n* OPUS readme: run-eng\n* model: transformer-align\n* source language(s): run\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.428", "### System Info:\n\n\n* hf\\_name: run-eng\n* source\\_languages: run\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'en']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: eng\n* short\\_pair: rn-en\n* chrF2\\_score: 0.428\n* bleu: 26.7\n* brevity\\_penalty: 0.99\n* ref\\_len: 10041.0\n* src\\_name: Rundi\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: run-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 55, 132, 391 ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #rn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### run-eng\n\n\n* source group: Rundi\n* target group: English\n* OPUS readme: run-eng\n* model: transformer-align\n* source language(s): run\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.428### System Info:\n\n\n* hf\\_name: run-eng\n* source\\_languages: run\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'en']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: eng\n* short\\_pair: rn-en\n* chrF2\\_score: 0.428\n* bleu: 26.7\n* brevity\\_penalty: 0.99\n* ref\\_len: 10041.0\n* src\\_name: Rundi\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: run-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### run-spa * source group: Rundi * target group: Spanish * OPUS readme: [run-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md) * model: transformer-align * source language(s): run * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.run.spa \| 14.4 \| 0.376 \| ### System Info: - hf_name: run-spa - source_languages: run - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['rn', 'es'] - src_constituents: {'run'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt - src_alpha3: run - tgt_alpha3: spa - short_pair: rn-es - chrF2_score: 0.376 - bleu: 14.4 - brevity_penalty: 1.0 - ref_len: 5167.0 - src_name: Rundi - tgt_name: Spanish - train_date: 2020-06-16 - src_alpha2: rn - tgt_alpha2: es - prefer_old: False - long_pair: run-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["rn", "es"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rn-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rn", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "rn", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### run-spa * source group: Rundi * target group: Spanish * OPUS readme: run-spa * model: transformer-align * source language(s): run * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 14.4, chr-F: 0.376 ### System Info: * hf\_name: run-spa * source\_languages: run * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['rn', 'es'] * src\_constituents: {'run'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: run * tgt\_alpha3: spa * short\_pair: rn-es * chrF2\_score: 0.376 * bleu: 14.4 * brevity\_penalty: 1.0 * ref\_len: 5167.0 * src\_name: Rundi * tgt\_name: Spanish * train\_date: 2020-06-16 * src\_alpha2: rn * tgt\_alpha2: es * prefer\_old: False * long\_pair: run-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### run-spa\n\n\n* source group: Rundi\n* target group: Spanish\n* OPUS readme: run-spa\n* model: transformer-align\n* source language(s): run\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.376", "### System Info:\n\n\n* hf\\_name: run-spa\n* source\\_languages: run\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'es']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: spa\n* short\\_pair: rn-es\n* chrF2\\_score: 0.376\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 5167.0\n* src\\_name: Rundi\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: run-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### run-spa\n\n\n* source group: Rundi\n* target group: Spanish\n* OPUS readme: run-spa\n* model: transformer-align\n* source language(s): run\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.376", "### System Info:\n\n\n* hf\\_name: run-spa\n* source\\_languages: run\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'es']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: spa\n* short\\_pair: rn-es\n* chrF2\\_score: 0.376\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 5167.0\n* src\\_name: Rundi\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: run-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 132, 392 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### run-spa\n\n\n* source group: Rundi\n* target group: Spanish\n* OPUS readme: run-spa\n* model: transformer-align\n* source language(s): run\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.376### System Info:\n\n\n* hf\\_name: run-spa\n* source\\_languages: run\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'es']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: spa\n* short\\_pair: rn-es\n* chrF2\\_score: 0.376\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 5167.0\n* src\\_name: Rundi\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: run-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### run-fra * source group: Rundi * target group: French * OPUS readme: [run-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-fra/README.md) * model: transformer-align * source language(s): run * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.run.fra \| 18.2 \| 0.397 \| ### System Info: - hf_name: run-fra - source_languages: run - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['rn', 'fr'] - src_constituents: {'run'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.test.txt - src_alpha3: run - tgt_alpha3: fra - short_pair: rn-fr - chrF2_score: 0.397 - bleu: 18.2 - brevity_penalty: 1.0 - ref_len: 7496.0 - src_name: Rundi - tgt_name: French - train_date: 2020-06-16 - src_alpha2: rn - tgt_alpha2: fr - prefer_old: False - long_pair: run-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["rn", "fr"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rn-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rn", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "rn", "fr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### run-fra * source group: Rundi * target group: French * OPUS readme: run-fra * model: transformer-align * source language(s): run * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 18.2, chr-F: 0.397 ### System Info: * hf\_name: run-fra * source\_languages: run * target\_languages: fra * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['rn', 'fr'] * src\_constituents: {'run'} * tgt\_constituents: {'fra'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: run * tgt\_alpha3: fra * short\_pair: rn-fr * chrF2\_score: 0.397 * bleu: 18.2 * brevity\_penalty: 1.0 * ref\_len: 7496.0 * src\_name: Rundi * tgt\_name: French * train\_date: 2020-06-16 * src\_alpha2: rn * tgt\_alpha2: fr * prefer\_old: False * long\_pair: run-fra * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### run-fra\n\n\n* source group: Rundi\n* target group: French\n* OPUS readme: run-fra\n* model: transformer-align\n* source language(s): run\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.2, chr-F: 0.397", "### System Info:\n\n\n* hf\\_name: run-fra\n* source\\_languages: run\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'fr']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'fra'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: fra\n* short\\_pair: rn-fr\n* chrF2\\_score: 0.397\n* bleu: 18.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 7496.0\n* src\\_name: Rundi\n* tgt\\_name: French\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: run-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### run-fra\n\n\n* source group: Rundi\n* target group: French\n* OPUS readme: run-fra\n* model: transformer-align\n* source language(s): run\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.2, chr-F: 0.397", "### System Info:\n\n\n* hf\\_name: run-fra\n* source\\_languages: run\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'fr']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'fra'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: fra\n* short\\_pair: rn-fr\n* chrF2\\_score: 0.397\n* bleu: 18.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 7496.0\n* src\\_name: Rundi\n* tgt\\_name: French\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: run-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 132, 392 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### run-fra\n\n\n* source group: Rundi\n* target group: French\n* OPUS readme: run-fra\n* model: transformer-align\n* source language(s): run\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.2, chr-F: 0.397### System Info:\n\n\n* hf\\_name: run-fra\n* source\\_languages: run\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'fr']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'fra'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: fra\n* short\\_pair: rn-fr\n* chrF2\\_score: 0.397\n* bleu: 18.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 7496.0\n* src\\_name: Rundi\n* tgt\\_name: French\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: run-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### run-rus * source group: Rundi * target group: Russian * OPUS readme: [run-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-rus/README.md) * model: transformer-align * source language(s): run * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.run.rus \| 17.1 \| 0.321 \| ### System Info: - hf_name: run-rus - source_languages: run - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['rn', 'ru'] - src_constituents: {'run'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.test.txt - src_alpha3: run - tgt_alpha3: rus - short_pair: rn-ru - chrF2_score: 0.321 - bleu: 17.1 - brevity_penalty: 1.0 - ref_len: 6635.0 - src_name: Rundi - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: rn - tgt_alpha2: ru - prefer_old: False - long_pair: run-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["rn", "ru"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rn-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rn", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "rn", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rn #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### run-rus * source group: Rundi * target group: Russian * OPUS readme: run-rus * model: transformer-align * source language(s): run * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 17.1, chr-F: 0.321 ### System Info: * hf\_name: run-rus * source\_languages: run * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['rn', 'ru'] * src\_constituents: {'run'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: run * tgt\_alpha3: rus * short\_pair: rn-ru * chrF2\_score: 0.321 * bleu: 17.1 * brevity\_penalty: 1.0 * ref\_len: 6635.0 * src\_name: Rundi * tgt\_name: Russian * train\_date: 2020-06-16 * src\_alpha2: rn * tgt\_alpha2: ru * prefer\_old: False * long\_pair: run-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### run-rus\n\n\n* source group: Rundi\n* target group: Russian\n* OPUS readme: run-rus\n* model: transformer-align\n* source language(s): run\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.1, chr-F: 0.321", "### System Info:\n\n\n* hf\\_name: run-rus\n* source\\_languages: run\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'ru']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: rus\n* short\\_pair: rn-ru\n* chrF2\\_score: 0.321\n* bleu: 17.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 6635.0\n* src\\_name: Rundi\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: run-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### run-rus\n\n\n* source group: Rundi\n* target group: Russian\n* OPUS readme: run-rus\n* model: transformer-align\n* source language(s): run\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.1, chr-F: 0.321", "### System Info:\n\n\n* hf\\_name: run-rus\n* source\\_languages: run\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'ru']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: rus\n* short\\_pair: rn-ru\n* chrF2\\_score: 0.321\n* bleu: 17.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 6635.0\n* src\\_name: Rundi\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: run-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 390 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rn #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### run-rus\n\n\n* source group: Rundi\n* target group: Russian\n* OPUS readme: run-rus\n* model: transformer-align\n* source language(s): run\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.1, chr-F: 0.321### System Info:\n\n\n* hf\\_name: run-rus\n* source\\_languages: run\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['rn', 'ru']\n* src\\_constituents: {'run'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: run\n* tgt\\_alpha3: rus\n* short\\_pair: rn-ru\n* chrF2\\_score: 0.321\n* bleu: 17.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 6635.0\n* src\\_name: Rundi\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: rn\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: run-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-rnd-en * source languages: rnd * target languages: en * OPUS readme: [rnd-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rnd.en \| 37.8 \| 0.531 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rnd-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rnd", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rnd #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rnd-en * source languages: rnd * target languages: en * OPUS readme: rnd-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.8, chr-F: 0.531	[ "### opus-mt-rnd-en\n\n\n* source languages: rnd\n* target languages: en\n* OPUS readme: rnd-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.8, chr-F: 0.531" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rnd #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rnd-en\n\n\n* source languages: rnd\n* target languages: en\n* OPUS readme: rnd-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.8, chr-F: 0.531" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rnd #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rnd-en\n\n\n* source languages: rnd\n* target languages: en\n* OPUS readme: rnd-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.8, chr-F: 0.531" ]
translation	transformers	### opus-mt-rnd-fr * source languages: rnd * target languages: fr * OPUS readme: [rnd-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rnd-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rnd.fr \| 22.1 \| 0.392 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rnd-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rnd", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rnd #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rnd-fr * source languages: rnd * target languages: fr * OPUS readme: rnd-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.1, chr-F: 0.392	[ "### opus-mt-rnd-fr\n\n\n* source languages: rnd\n* target languages: fr\n* OPUS readme: rnd-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.392" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rnd #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rnd-fr\n\n\n* source languages: rnd\n* target languages: fr\n* OPUS readme: rnd-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.392" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rnd #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rnd-fr\n\n\n* source languages: rnd\n* target languages: fr\n* OPUS readme: rnd-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.392" ]
translation	transformers	### opus-mt-rnd-sv * source languages: rnd * target languages: sv * OPUS readme: [rnd-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rnd.sv \| 21.2 \| 0.387 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rnd-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rnd", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rnd #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rnd-sv * source languages: rnd * target languages: sv * OPUS readme: rnd-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.2, chr-F: 0.387	[ "### opus-mt-rnd-sv\n\n\n* source languages: rnd\n* target languages: sv\n* OPUS readme: rnd-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.387" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rnd #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rnd-sv\n\n\n* source languages: rnd\n* target languages: sv\n* OPUS readme: rnd-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.387" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rnd #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rnd-sv\n\n\n* source languages: rnd\n* target languages: sv\n* OPUS readme: rnd-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.387" ]
translation	transformers	### ron-epo * source group: Romanian * target group: Esperanto * OPUS readme: [ron-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md) * model: transformer-align * source language(s): ron * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ron.epo \| 27.8 \| 0.495 \| ### System Info: - hf_name: ron-epo - source_languages: ron - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ro', 'eo'] - src_constituents: {'ron'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt - src_alpha3: ron - tgt_alpha3: epo - short_pair: ro-eo - chrF2_score: 0.495 - bleu: 27.8 - brevity_penalty: 0.955 - ref_len: 25751.0 - src_name: Romanian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: ro - tgt_alpha2: eo - prefer_old: False - long_pair: ron-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ro", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ro-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ro", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ro", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ro #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ron-epo * source group: Romanian * target group: Esperanto * OPUS readme: ron-epo * model: transformer-align * source language(s): ron * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.8, chr-F: 0.495 ### System Info: * hf\_name: ron-epo * source\_languages: ron * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ro', 'eo'] * src\_constituents: {'ron'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ron * tgt\_alpha3: epo * short\_pair: ro-eo * chrF2\_score: 0.495 * bleu: 27.8 * brevity\_penalty: 0.955 * ref\_len: 25751.0 * src\_name: Romanian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: ro * tgt\_alpha2: eo * prefer\_old: False * long\_pair: ron-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ron-epo\n\n\n* source group: Romanian\n* target group: Esperanto\n* OPUS readme: ron-epo\n* model: transformer-align\n* source language(s): ron\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.495", "### System Info:\n\n\n* hf\\_name: ron-epo\n* source\\_languages: ron\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ro', 'eo']\n* src\\_constituents: {'ron'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ron\n* tgt\\_alpha3: epo\n* short\\_pair: ro-eo\n* chrF2\\_score: 0.495\n* bleu: 27.8\n* brevity\\_penalty: 0.955\n* ref\\_len: 25751.0\n* src\\_name: Romanian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: ro\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ron-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ron-epo\n\n\n* source group: Romanian\n* target group: Esperanto\n* OPUS readme: ron-epo\n* model: transformer-align\n* source language(s): ron\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.495", "### System Info:\n\n\n* hf\\_name: ron-epo\n* source\\_languages: ron\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ro', 'eo']\n* src\\_constituents: {'ron'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ron\n* tgt\\_alpha3: epo\n* short\\_pair: ro-eo\n* chrF2\\_score: 0.495\n* bleu: 27.8\n* brevity\\_penalty: 0.955\n* ref\\_len: 25751.0\n* src\\_name: Romanian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: ro\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ron-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 135, 400 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ron-epo\n\n\n* source group: Romanian\n* target group: Esperanto\n* OPUS readme: ron-epo\n* model: transformer-align\n* source language(s): ron\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.495### System Info:\n\n\n* hf\\_name: ron-epo\n* source\\_languages: ron\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ro', 'eo']\n* src\\_constituents: {'ron'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ron\n* tgt\\_alpha3: epo\n* short\\_pair: ro-eo\n* chrF2\\_score: 0.495\n* bleu: 27.8\n* brevity\\_penalty: 0.955\n* ref\\_len: 25751.0\n* src\\_name: Romanian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: ro\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ron-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-ro-fi * source languages: ro * target languages: fi * OPUS readme: [ro-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ro-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ro.fi \| 25.2 \| 0.521 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ro-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ro", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ro #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ro-fi * source languages: ro * target languages: fi * OPUS readme: ro-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.2, chr-F: 0.521	[ "### opus-mt-ro-fi\n\n\n* source languages: ro\n* target languages: fi\n* OPUS readme: ro-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.2, chr-F: 0.521" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ro-fi\n\n\n* source languages: ro\n* target languages: fi\n* OPUS readme: ro-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.2, chr-F: 0.521" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ro-fi\n\n\n* source languages: ro\n* target languages: fi\n* OPUS readme: ro-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.2, chr-F: 0.521" ]
translation	transformers	### opus-mt-ro-fr * source languages: ro * target languages: fr * OPUS readme: [ro-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ro-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ro.fr \| 54.5 \| 0.697 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ro-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ro", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ro #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ro-fr * source languages: ro * target languages: fr * OPUS readme: ro-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 54.5, chr-F: 0.697	[ "### opus-mt-ro-fr\n\n\n* source languages: ro\n* target languages: fr\n* OPUS readme: ro-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 54.5, chr-F: 0.697" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ro-fr\n\n\n* source languages: ro\n* target languages: fr\n* OPUS readme: ro-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 54.5, chr-F: 0.697" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ro-fr\n\n\n* source languages: ro\n* target languages: fr\n* OPUS readme: ro-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 54.5, chr-F: 0.697" ]
translation	transformers	### opus-mt-ro-sv * source languages: ro * target languages: sv * OPUS readme: [ro-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ro.sv \| 31.2 \| 0.529 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ro-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ro", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ro #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ro-sv * source languages: ro * target languages: sv * OPUS readme: ro-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.2, chr-F: 0.529	[ "### opus-mt-ro-sv\n\n\n* source languages: ro\n* target languages: sv\n* OPUS readme: ro-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.529" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ro-sv\n\n\n* source languages: ro\n* target languages: sv\n* OPUS readme: ro-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.529" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ro #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ro-sv\n\n\n* source languages: ro\n* target languages: sv\n* OPUS readme: ro-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.529" ]
translation	transformers	### roa-eng * source group: Romance languages * target group: English * OPUS readme: [roa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/roa-eng/README.md) * model: transformer * source language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2016-enro-roneng.ron.eng \| 37.1 \| 0.631 \| \| newsdiscussdev2015-enfr-fraeng.fra.eng \| 31.6 \| 0.564 \| \| newsdiscusstest2015-enfr-fraeng.fra.eng \| 36.1 \| 0.592 \| \| newssyscomb2009-fraeng.fra.eng \| 29.3 \| 0.563 \| \| newssyscomb2009-itaeng.ita.eng \| 33.1 \| 0.589 \| \| newssyscomb2009-spaeng.spa.eng \| 29.2 \| 0.562 \| \| news-test2008-fraeng.fra.eng \| 25.2 \| 0.533 \| \| news-test2008-spaeng.spa.eng \| 26.6 \| 0.542 \| \| newstest2009-fraeng.fra.eng \| 28.6 \| 0.557 \| \| newstest2009-itaeng.ita.eng \| 32.0 \| 0.580 \| \| newstest2009-spaeng.spa.eng \| 28.9 \| 0.559 \| \| newstest2010-fraeng.fra.eng \| 29.9 \| 0.573 \| \| newstest2010-spaeng.spa.eng \| 33.3 \| 0.596 \| \| newstest2011-fraeng.fra.eng \| 31.2 \| 0.585 \| \| newstest2011-spaeng.spa.eng \| 32.3 \| 0.584 \| \| newstest2012-fraeng.fra.eng \| 31.3 \| 0.580 \| \| newstest2012-spaeng.spa.eng \| 35.3 \| 0.606 \| \| newstest2013-fraeng.fra.eng \| 31.9 \| 0.575 \| \| newstest2013-spaeng.spa.eng \| 32.8 \| 0.592 \| \| newstest2014-fren-fraeng.fra.eng \| 34.6 \| 0.611 \| \| newstest2016-enro-roneng.ron.eng \| 35.8 \| 0.614 \| \| Tatoeba-test.arg-eng.arg.eng \| 38.7 \| 0.512 \| \| Tatoeba-test.ast-eng.ast.eng \| 35.2 \| 0.520 \| \| Tatoeba-test.cat-eng.cat.eng \| 54.9 \| 0.703 \| \| Tatoeba-test.cos-eng.cos.eng \| 68.1 \| 0.666 \| \| Tatoeba-test.egl-eng.egl.eng \| 6.7 \| 0.209 \| \| Tatoeba-test.ext-eng.ext.eng \| 24.2 \| 0.427 \| \| Tatoeba-test.fra-eng.fra.eng \| 53.9 \| 0.691 \| \| Tatoeba-test.frm-eng.frm.eng \| 25.7 \| 0.423 \| \| Tatoeba-test.gcf-eng.gcf.eng \| 14.8 \| 0.288 \| \| Tatoeba-test.glg-eng.glg.eng \| 54.6 \| 0.703 \| \| Tatoeba-test.hat-eng.hat.eng \| 37.0 \| 0.540 \| \| Tatoeba-test.ita-eng.ita.eng \| 64.8 \| 0.768 \| \| Tatoeba-test.lad-eng.lad.eng \| 21.7 \| 0.452 \| \| Tatoeba-test.lij-eng.lij.eng \| 11.2 \| 0.299 \| \| Tatoeba-test.lld-eng.lld.eng \| 10.8 \| 0.273 \| \| Tatoeba-test.lmo-eng.lmo.eng \| 5.8 \| 0.260 \| \| Tatoeba-test.mfe-eng.mfe.eng \| 63.1 \| 0.819 \| \| Tatoeba-test.msa-eng.msa.eng \| 40.9 \| 0.592 \| \| Tatoeba-test.multi.eng \| 54.9 \| 0.697 \| \| Tatoeba-test.mwl-eng.mwl.eng \| 44.6 \| 0.674 \| \| Tatoeba-test.oci-eng.oci.eng \| 20.5 \| 0.404 \| \| Tatoeba-test.pap-eng.pap.eng \| 56.2 \| 0.669 \| \| Tatoeba-test.pms-eng.pms.eng \| 10.3 \| 0.324 \| \| Tatoeba-test.por-eng.por.eng \| 59.7 \| 0.738 \| \| Tatoeba-test.roh-eng.roh.eng \| 14.8 \| 0.378 \| \| Tatoeba-test.ron-eng.ron.eng \| 55.2 \| 0.703 \| \| Tatoeba-test.scn-eng.scn.eng \| 10.2 \| 0.259 \| \| Tatoeba-test.spa-eng.spa.eng \| 56.2 \| 0.714 \| \| Tatoeba-test.vec-eng.vec.eng \| 13.8 \| 0.317 \| \| Tatoeba-test.wln-eng.wln.eng \| 17.3 \| 0.323 \| ### System Info: - hf_name: roa-eng - source_languages: roa - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/roa-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en'] - src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.test.txt - src_alpha3: roa - tgt_alpha3: eng - short_pair: roa-en - chrF2_score: 0.6970000000000001 - bleu: 54.9 - brevity_penalty: 0.9790000000000001 - ref_len: 74762.0 - src_name: Romance languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: roa - tgt_alpha2: en - prefer_old: False - long_pair: roa-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ca", "rm", "es", "ro", "gl", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "roa", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-roa-en	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "it", "ca", "rm", "es", "ro", "gl", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "roa", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "it", "ca", "rm", "es", "ro", "gl", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "roa", "en" ]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #co #wa #pt #oc #an #id #fr #ht #roa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### roa-eng * source group: Romance languages * target group: English * OPUS readme: roa-eng * model: transformer * source language(s): arg ast cat cos egl ext fra frm\_Latn gcf\_Latn glg hat ind ita lad lad\_Latn lij lld\_Latn lmo max\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\_Latn vec wln zlm\_Latn zsm\_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.1, chr-F: 0.631 testset: URL, BLEU: 31.6, chr-F: 0.564 testset: URL, BLEU: 36.1, chr-F: 0.592 testset: URL, BLEU: 29.3, chr-F: 0.563 testset: URL, BLEU: 33.1, chr-F: 0.589 testset: URL, BLEU: 29.2, chr-F: 0.562 testset: URL, BLEU: 25.2, chr-F: 0.533 testset: URL, BLEU: 26.6, chr-F: 0.542 testset: URL, BLEU: 28.6, chr-F: 0.557 testset: URL, BLEU: 32.0, chr-F: 0.580 testset: URL, BLEU: 28.9, chr-F: 0.559 testset: URL, BLEU: 29.9, chr-F: 0.573 testset: URL, BLEU: 33.3, chr-F: 0.596 testset: URL, BLEU: 31.2, chr-F: 0.585 testset: URL, BLEU: 32.3, chr-F: 0.584 testset: URL, BLEU: 31.3, chr-F: 0.580 testset: URL, BLEU: 35.3, chr-F: 0.606 testset: URL, BLEU: 31.9, chr-F: 0.575 testset: URL, BLEU: 32.8, chr-F: 0.592 testset: URL, BLEU: 34.6, chr-F: 0.611 testset: URL, BLEU: 35.8, chr-F: 0.614 testset: URL, BLEU: 38.7, chr-F: 0.512 testset: URL, BLEU: 35.2, chr-F: 0.520 testset: URL, BLEU: 54.9, chr-F: 0.703 testset: URL, BLEU: 68.1, chr-F: 0.666 testset: URL, BLEU: 6.7, chr-F: 0.209 testset: URL, BLEU: 24.2, chr-F: 0.427 testset: URL, BLEU: 53.9, chr-F: 0.691 testset: URL, BLEU: 25.7, chr-F: 0.423 testset: URL, BLEU: 14.8, chr-F: 0.288 testset: URL, BLEU: 54.6, chr-F: 0.703 testset: URL, BLEU: 37.0, chr-F: 0.540 testset: URL, BLEU: 64.8, chr-F: 0.768 testset: URL, BLEU: 21.7, chr-F: 0.452 testset: URL, BLEU: 11.2, chr-F: 0.299 testset: URL, BLEU: 10.8, chr-F: 0.273 testset: URL, BLEU: 5.8, chr-F: 0.260 testset: URL, BLEU: 63.1, chr-F: 0.819 testset: URL, BLEU: 40.9, chr-F: 0.592 testset: URL, BLEU: 54.9, chr-F: 0.697 testset: URL, BLEU: 44.6, chr-F: 0.674 testset: URL, BLEU: 20.5, chr-F: 0.404 testset: URL, BLEU: 56.2, chr-F: 0.669 testset: URL, BLEU: 10.3, chr-F: 0.324 testset: URL, BLEU: 59.7, chr-F: 0.738 testset: URL, BLEU: 14.8, chr-F: 0.378 testset: URL, BLEU: 55.2, chr-F: 0.703 testset: URL, BLEU: 10.2, chr-F: 0.259 testset: URL, BLEU: 56.2, chr-F: 0.714 testset: URL, BLEU: 13.8, chr-F: 0.317 testset: URL, BLEU: 17.3, chr-F: 0.323 ### System Info: * hf\_name: roa-eng * source\_languages: roa * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en'] * src\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad\_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\_Latn', 'gcf\_Latn', 'lld\_Latn', 'min', 'tmw\_Latn', 'cos', 'wln', 'zlm\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\_Latn', 'frm\_Latn', 'scn', 'mfe'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: roa * tgt\_alpha3: eng * short\_pair: roa-en * chrF2\_score: 0.6970000000000001 * bleu: 54.9 * brevity\_penalty: 0.9790000000000001 * ref\_len: 74762.0 * src\_name: Romance languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: roa * tgt\_alpha2: en * prefer\_old: False * long\_pair: roa-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### roa-eng\n\n\n* source group: Romance languages\n* target group: English\n* OPUS readme: roa-eng\n* model: transformer\n* source language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.1, chr-F: 0.631\ntestset: URL, BLEU: 31.6, chr-F: 0.564\ntestset: URL, BLEU: 36.1, chr-F: 0.592\ntestset: URL, BLEU: 29.3, chr-F: 0.563\ntestset: URL, BLEU: 33.1, chr-F: 0.589\ntestset: URL, BLEU: 29.2, chr-F: 0.562\ntestset: URL, BLEU: 25.2, chr-F: 0.533\ntestset: URL, BLEU: 26.6, chr-F: 0.542\ntestset: URL, BLEU: 28.6, chr-F: 0.557\ntestset: URL, BLEU: 32.0, chr-F: 0.580\ntestset: URL, BLEU: 28.9, chr-F: 0.559\ntestset: URL, BLEU: 29.9, chr-F: 0.573\ntestset: URL, BLEU: 33.3, chr-F: 0.596\ntestset: URL, BLEU: 31.2, chr-F: 0.585\ntestset: URL, BLEU: 32.3, chr-F: 0.584\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 35.3, chr-F: 0.606\ntestset: URL, BLEU: 31.9, chr-F: 0.575\ntestset: URL, BLEU: 32.8, chr-F: 0.592\ntestset: URL, BLEU: 34.6, chr-F: 0.611\ntestset: URL, BLEU: 35.8, chr-F: 0.614\ntestset: URL, BLEU: 38.7, chr-F: 0.512\ntestset: URL, BLEU: 35.2, chr-F: 0.520\ntestset: URL, BLEU: 54.9, chr-F: 0.703\ntestset: URL, BLEU: 68.1, chr-F: 0.666\ntestset: URL, BLEU: 6.7, chr-F: 0.209\ntestset: URL, BLEU: 24.2, chr-F: 0.427\ntestset: URL, BLEU: 53.9, chr-F: 0.691\ntestset: URL, BLEU: 25.7, chr-F: 0.423\ntestset: URL, BLEU: 14.8, chr-F: 0.288\ntestset: URL, BLEU: 54.6, chr-F: 0.703\ntestset: URL, BLEU: 37.0, chr-F: 0.540\ntestset: URL, BLEU: 64.8, chr-F: 0.768\ntestset: URL, BLEU: 21.7, chr-F: 0.452\ntestset: URL, BLEU: 11.2, chr-F: 0.299\ntestset: URL, BLEU: 10.8, chr-F: 0.273\ntestset: URL, BLEU: 5.8, chr-F: 0.260\ntestset: URL, BLEU: 63.1, chr-F: 0.819\ntestset: URL, BLEU: 40.9, chr-F: 0.592\ntestset: URL, BLEU: 54.9, chr-F: 0.697\ntestset: URL, BLEU: 44.6, chr-F: 0.674\ntestset: URL, BLEU: 20.5, chr-F: 0.404\ntestset: URL, BLEU: 56.2, chr-F: 0.669\ntestset: URL, BLEU: 10.3, chr-F: 0.324\ntestset: URL, BLEU: 59.7, chr-F: 0.738\ntestset: URL, BLEU: 14.8, chr-F: 0.378\ntestset: URL, BLEU: 55.2, chr-F: 0.703\ntestset: URL, BLEU: 10.2, chr-F: 0.259\ntestset: URL, BLEU: 56.2, chr-F: 0.714\ntestset: URL, BLEU: 13.8, chr-F: 0.317\ntestset: URL, BLEU: 17.3, chr-F: 0.323", "### System Info:\n\n\n* hf\\_name: roa-eng\n* source\\_languages: roa\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad\\_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: roa\n* tgt\\_alpha3: eng\n* short\\_pair: roa-en\n* chrF2\\_score: 0.6970000000000001\n* bleu: 54.9\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 74762.0\n* src\\_name: Romance languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: roa\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: roa-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #co #wa #pt #oc #an #id #fr #ht #roa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### roa-eng\n\n\n* source group: Romance languages\n* target group: English\n* OPUS readme: roa-eng\n* model: transformer\n* source language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.1, chr-F: 0.631\ntestset: URL, BLEU: 31.6, chr-F: 0.564\ntestset: URL, BLEU: 36.1, chr-F: 0.592\ntestset: URL, BLEU: 29.3, chr-F: 0.563\ntestset: URL, BLEU: 33.1, chr-F: 0.589\ntestset: URL, BLEU: 29.2, chr-F: 0.562\ntestset: URL, BLEU: 25.2, chr-F: 0.533\ntestset: URL, BLEU: 26.6, chr-F: 0.542\ntestset: URL, BLEU: 28.6, chr-F: 0.557\ntestset: URL, BLEU: 32.0, chr-F: 0.580\ntestset: URL, BLEU: 28.9, chr-F: 0.559\ntestset: URL, BLEU: 29.9, chr-F: 0.573\ntestset: URL, BLEU: 33.3, chr-F: 0.596\ntestset: URL, BLEU: 31.2, chr-F: 0.585\ntestset: URL, BLEU: 32.3, chr-F: 0.584\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 35.3, chr-F: 0.606\ntestset: URL, BLEU: 31.9, chr-F: 0.575\ntestset: URL, BLEU: 32.8, chr-F: 0.592\ntestset: URL, BLEU: 34.6, chr-F: 0.611\ntestset: URL, BLEU: 35.8, chr-F: 0.614\ntestset: URL, BLEU: 38.7, chr-F: 0.512\ntestset: URL, BLEU: 35.2, chr-F: 0.520\ntestset: URL, BLEU: 54.9, chr-F: 0.703\ntestset: URL, BLEU: 68.1, chr-F: 0.666\ntestset: URL, BLEU: 6.7, chr-F: 0.209\ntestset: URL, BLEU: 24.2, chr-F: 0.427\ntestset: URL, BLEU: 53.9, chr-F: 0.691\ntestset: URL, BLEU: 25.7, chr-F: 0.423\ntestset: URL, BLEU: 14.8, chr-F: 0.288\ntestset: URL, BLEU: 54.6, chr-F: 0.703\ntestset: URL, BLEU: 37.0, chr-F: 0.540\ntestset: URL, BLEU: 64.8, chr-F: 0.768\ntestset: URL, BLEU: 21.7, chr-F: 0.452\ntestset: URL, BLEU: 11.2, chr-F: 0.299\ntestset: URL, BLEU: 10.8, chr-F: 0.273\ntestset: URL, BLEU: 5.8, chr-F: 0.260\ntestset: URL, BLEU: 63.1, chr-F: 0.819\ntestset: URL, BLEU: 40.9, chr-F: 0.592\ntestset: URL, BLEU: 54.9, chr-F: 0.697\ntestset: URL, BLEU: 44.6, chr-F: 0.674\ntestset: URL, BLEU: 20.5, chr-F: 0.404\ntestset: URL, BLEU: 56.2, chr-F: 0.669\ntestset: URL, BLEU: 10.3, chr-F: 0.324\ntestset: URL, BLEU: 59.7, chr-F: 0.738\ntestset: URL, BLEU: 14.8, chr-F: 0.378\ntestset: URL, BLEU: 55.2, chr-F: 0.703\ntestset: URL, BLEU: 10.2, chr-F: 0.259\ntestset: URL, BLEU: 56.2, chr-F: 0.714\ntestset: URL, BLEU: 13.8, chr-F: 0.317\ntestset: URL, BLEU: 17.3, chr-F: 0.323", "### System Info:\n\n\n* hf\\_name: roa-eng\n* source\\_languages: roa\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad\\_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: roa\n* tgt\\_alpha3: eng\n* short\\_pair: roa-en\n* chrF2\\_score: 0.6970000000000001\n* bleu: 54.9\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 74762.0\n* src\\_name: Romance languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: roa\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: roa-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 85, 1366, 674 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #co #wa #pt #oc #an #id #fr #ht #roa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### roa-eng\n\n\n* source group: Romance languages\n* target group: English\n* OPUS readme: roa-eng\n* model: transformer\n* source language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.1, chr-F: 0.631\ntestset: URL, BLEU: 31.6, chr-F: 0.564\ntestset: URL, BLEU: 36.1, chr-F: 0.592\ntestset: URL, BLEU: 29.3, chr-F: 0.563\ntestset: URL, BLEU: 33.1, chr-F: 0.589\ntestset: URL, BLEU: 29.2, chr-F: 0.562\ntestset: URL, BLEU: 25.2, chr-F: 0.533\ntestset: URL, BLEU: 26.6, chr-F: 0.542\ntestset: URL, BLEU: 28.6, chr-F: 0.557\ntestset: URL, BLEU: 32.0, chr-F: 0.580\ntestset: URL, BLEU: 28.9, chr-F: 0.559\ntestset: URL, BLEU: 29.9, chr-F: 0.573\ntestset: URL, BLEU: 33.3, chr-F: 0.596\ntestset: URL, BLEU: 31.2, chr-F: 0.585\ntestset: URL, BLEU: 32.3, chr-F: 0.584\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 35.3, chr-F: 0.606\ntestset: URL, BLEU: 31.9, chr-F: 0.575\ntestset: URL, BLEU: 32.8, chr-F: 0.592\ntestset: URL, BLEU: 34.6, chr-F: 0.611\ntestset: URL, BLEU: 35.8, chr-F: 0.614\ntestset: URL, BLEU: 38.7, chr-F: 0.512\ntestset: URL, BLEU: 35.2, chr-F: 0.520\ntestset: URL, BLEU: 54.9, chr-F: 0.703\ntestset: URL, BLEU: 68.1, chr-F: 0.666\ntestset: URL, BLEU: 6.7, chr-F: 0.209\ntestset: URL, BLEU: 24.2, chr-F: 0.427\ntestset: URL, BLEU: 53.9, chr-F: 0.691\ntestset: URL, BLEU: 25.7, chr-F: 0.423\ntestset: URL, BLEU: 14.8, chr-F: 0.288\ntestset: URL, BLEU: 54.6, chr-F: 0.703\ntestset: URL, BLEU: 37.0, chr-F: 0.540\ntestset: URL, BLEU: 64.8, chr-F: 0.768\ntestset: URL, BLEU: 21.7, chr-F: 0.452\ntestset: URL, BLEU: 11.2, chr-F: 0.299\ntestset: URL, BLEU: 10.8, chr-F: 0.273\ntestset: URL, BLEU: 5.8, chr-F: 0.260\ntestset: URL, BLEU: 63.1, chr-F: 0.819\ntestset: URL, BLEU: 40.9, chr-F: 0.592\ntestset: URL, BLEU: 54.9, chr-F: 0.697\ntestset: URL, BLEU: 44.6, chr-F: 0.674\ntestset: URL, BLEU: 20.5, chr-F: 0.404\ntestset: URL, BLEU: 56.2, chr-F: 0.669\ntestset: URL, BLEU: 10.3, chr-F: 0.324\ntestset: URL, BLEU: 59.7, chr-F: 0.738\ntestset: URL, BLEU: 14.8, chr-F: 0.378\ntestset: URL, BLEU: 55.2, chr-F: 0.703\ntestset: URL, BLEU: 10.2, chr-F: 0.259\ntestset: URL, BLEU: 56.2, chr-F: 0.714\ntestset: URL, BLEU: 13.8, chr-F: 0.317\ntestset: URL, BLEU: 17.3, chr-F: 0.323### System Info:\n\n\n* hf\\_name: roa-eng\n* source\\_languages: roa\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad\\_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: roa\n* tgt\\_alpha3: eng\n* short\\_pair: roa-en\n* chrF2\\_score: 0.6970000000000001\n* bleu: 54.9\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 74762.0\n* src\\_name: Romance languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: roa\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: roa-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-afr * source group: Russian * target group: Afrikaans * OPUS readme: [rus-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-afr/README.md) * model: transformer-align * source language(s): rus * target language(s): afr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.afr \| 48.1 \| 0.669 \| ### System Info: - hf_name: rus-afr - source_languages: rus - target_languages: afr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-afr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'af'] - src_constituents: {'rus'} - tgt_constituents: {'afr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: afr - short_pair: ru-af - chrF2_score: 0.669 - bleu: 48.1 - brevity_penalty: 1.0 - ref_len: 1390.0 - src_name: Russian - tgt_name: Afrikaans - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: af - prefer_old: False - long_pair: rus-afr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "af"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-af	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "af" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-afr * source group: Russian * target group: Afrikaans * OPUS readme: rus-afr * model: transformer-align * source language(s): rus * target language(s): afr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 48.1, chr-F: 0.669 ### System Info: * hf\_name: rus-afr * source\_languages: rus * target\_languages: afr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'af'] * src\_constituents: {'rus'} * tgt\_constituents: {'afr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: afr * short\_pair: ru-af * chrF2\_score: 0.669 * bleu: 48.1 * brevity\_penalty: 1.0 * ref\_len: 1390.0 * src\_name: Russian * tgt\_name: Afrikaans * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: af * prefer\_old: False * long\_pair: rus-afr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-afr\n\n\n* source group: Russian\n* target group: Afrikaans\n* OPUS readme: rus-afr\n* model: transformer-align\n* source language(s): rus\n* target language(s): afr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.1, chr-F: 0.669", "### System Info:\n\n\n* hf\\_name: rus-afr\n* source\\_languages: rus\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'af']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'afr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: afr\n* short\\_pair: ru-af\n* chrF2\\_score: 0.669\n* bleu: 48.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 1390.0\n* src\\_name: Russian\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: rus-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-afr\n\n\n* source group: Russian\n* target group: Afrikaans\n* OPUS readme: rus-afr\n* model: transformer-align\n* source language(s): rus\n* target language(s): afr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.1, chr-F: 0.669", "### System Info:\n\n\n* hf\\_name: rus-afr\n* source\\_languages: rus\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'af']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'afr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: afr\n* short\\_pair: ru-af\n* chrF2\\_score: 0.669\n* bleu: 48.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 1390.0\n* src\\_name: Russian\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: rus-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 395 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-afr\n\n\n* source group: Russian\n* target group: Afrikaans\n* OPUS readme: rus-afr\n* model: transformer-align\n* source language(s): rus\n* target language(s): afr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.1, chr-F: 0.669### System Info:\n\n\n* hf\\_name: rus-afr\n* source\\_languages: rus\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'af']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'afr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: afr\n* short\\_pair: ru-af\n* chrF2\\_score: 0.669\n* bleu: 48.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 1390.0\n* src\\_name: Russian\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: rus-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-ara * source group: Russian * target group: Arabic * OPUS readme: [rus-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ara/README.md) * model: transformer * source language(s): rus * target language(s): apc ara arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.ara \| 16.6 \| 0.486 \| ### System Info: - hf_name: rus-ara - source_languages: rus - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'ar'] - src_constituents: {'rus'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.test.txt - src_alpha3: rus - tgt_alpha3: ara - short_pair: ru-ar - chrF2_score: 0.486 - bleu: 16.6 - brevity_penalty: 0.9690000000000001 - ref_len: 18878.0 - src_name: Russian - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: ru - tgt_alpha2: ar - prefer_old: False - long_pair: rus-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "ar"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-ar	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-ara * source group: Russian * target group: Arabic * OPUS readme: rus-ara * model: transformer * source language(s): rus * target language(s): apc ara arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 16.6, chr-F: 0.486 ### System Info: * hf\_name: rus-ara * source\_languages: rus * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'ar'] * src\_constituents: {'rus'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: ara * short\_pair: ru-ar * chrF2\_score: 0.486 * bleu: 16.6 * brevity\_penalty: 0.9690000000000001 * ref\_len: 18878.0 * src\_name: Russian * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: ru * tgt\_alpha2: ar * prefer\_old: False * long\_pair: rus-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-ara\n\n\n* source group: Russian\n* target group: Arabic\n* OPUS readme: rus-ara\n* model: transformer\n* source language(s): rus\n* target language(s): apc ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.6, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: rus-ara\n* source\\_languages: rus\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'ar']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: ara\n* short\\_pair: ru-ar\n* chrF2\\_score: 0.486\n* bleu: 16.6\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 18878.0\n* src\\_name: Russian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: ru\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: rus-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-ara\n\n\n* source group: Russian\n* target group: Arabic\n* OPUS readme: rus-ara\n* model: transformer\n* source language(s): rus\n* target language(s): apc ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.6, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: rus-ara\n* source\\_languages: rus\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'ar']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: ara\n* short\\_pair: ru-ar\n* chrF2\\_score: 0.486\n* bleu: 16.6\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 18878.0\n* src\\_name: Russian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: ru\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: rus-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 158, 445 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-ara\n\n\n* source group: Russian\n* target group: Arabic\n* OPUS readme: rus-ara\n* model: transformer\n* source language(s): rus\n* target language(s): apc ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.6, chr-F: 0.486### System Info:\n\n\n* hf\\_name: rus-ara\n* source\\_languages: rus\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'ar']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: ara\n* short\\_pair: ru-ar\n* chrF2\\_score: 0.486\n* bleu: 16.6\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 18878.0\n* src\\_name: Russian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: ru\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: rus-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-bul * source group: Russian * target group: Bulgarian * OPUS readme: [rus-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md) * model: transformer * source language(s): rus * target language(s): bul bul_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.bul \| 52.3 \| 0.704 \| ### System Info: - hf_name: rus-bul - source_languages: rus - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'bg'] - src_constituents: {'rus'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt - src_alpha3: rus - tgt_alpha3: bul - short_pair: ru-bg - chrF2_score: 0.7040000000000001 - bleu: 52.3 - brevity_penalty: 0.919 - ref_len: 8272.0 - src_name: Russian - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: ru - tgt_alpha2: bg - prefer_old: False - long_pair: rus-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "bg"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-bg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-bul * source group: Russian * target group: Bulgarian * OPUS readme: rus-bul * model: transformer * source language(s): rus * target language(s): bul bul\_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.3, chr-F: 0.704 ### System Info: * hf\_name: rus-bul * source\_languages: rus * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'bg'] * src\_constituents: {'rus'} * tgt\_constituents: {'bul', 'bul\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: bul * short\_pair: ru-bg * chrF2\_score: 0.7040000000000001 * bleu: 52.3 * brevity\_penalty: 0.919 * ref\_len: 8272.0 * src\_name: Russian * tgt\_name: Bulgarian * train\_date: 2020-07-03 * src\_alpha2: ru * tgt\_alpha2: bg * prefer\_old: False * long\_pair: rus-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-bul\n\n\n* source group: Russian\n* target group: Bulgarian\n* OPUS readme: rus-bul\n* model: transformer\n* source language(s): rus\n* target language(s): bul bul\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.3, chr-F: 0.704", "### System Info:\n\n\n* hf\\_name: rus-bul\n* source\\_languages: rus\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'bg']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: bul\n* short\\_pair: ru-bg\n* chrF2\\_score: 0.7040000000000001\n* bleu: 52.3\n* brevity\\_penalty: 0.919\n* ref\\_len: 8272.0\n* src\\_name: Russian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: ru\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: rus-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-bul\n\n\n* source group: Russian\n* target group: Bulgarian\n* OPUS readme: rus-bul\n* model: transformer\n* source language(s): rus\n* target language(s): bul bul\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.3, chr-F: 0.704", "### System Info:\n\n\n* hf\\_name: rus-bul\n* source\\_languages: rus\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'bg']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: bul\n* short\\_pair: ru-bg\n* chrF2\\_score: 0.7040000000000001\n* bleu: 52.3\n* brevity\\_penalty: 0.919\n* ref\\_len: 8272.0\n* src\\_name: Russian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: ru\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: rus-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 164, 416 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-bul\n\n\n* source group: Russian\n* target group: Bulgarian\n* OPUS readme: rus-bul\n* model: transformer\n* source language(s): rus\n* target language(s): bul bul\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.3, chr-F: 0.704### System Info:\n\n\n* hf\\_name: rus-bul\n* source\\_languages: rus\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'bg']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: bul\n* short\\_pair: ru-bg\n* chrF2\\_score: 0.7040000000000001\n* bleu: 52.3\n* brevity\\_penalty: 0.919\n* ref\\_len: 8272.0\n* src\\_name: Russian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: ru\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: rus-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-dan * source group: Russian * target group: Danish * OPUS readme: [rus-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-dan/README.md) * model: transformer-align * source language(s): rus * target language(s): dan * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.dan \| 56.6 \| 0.714 \| ### System Info: - hf_name: rus-dan - source_languages: rus - target_languages: dan - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-dan/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'da'] - src_constituents: {'rus'} - tgt_constituents: {'dan'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: dan - short_pair: ru-da - chrF2_score: 0.7140000000000001 - bleu: 56.6 - brevity_penalty: 0.977 - ref_len: 11746.0 - src_name: Russian - tgt_name: Danish - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: da - prefer_old: False - long_pair: rus-dan - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "da"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-da	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "da", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "da" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-dan * source group: Russian * target group: Danish * OPUS readme: rus-dan * model: transformer-align * source language(s): rus * target language(s): dan * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 56.6, chr-F: 0.714 ### System Info: * hf\_name: rus-dan * source\_languages: rus * target\_languages: dan * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'da'] * src\_constituents: {'rus'} * tgt\_constituents: {'dan'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: dan * short\_pair: ru-da * chrF2\_score: 0.7140000000000001 * bleu: 56.6 * brevity\_penalty: 0.977 * ref\_len: 11746.0 * src\_name: Russian * tgt\_name: Danish * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: da * prefer\_old: False * long\_pair: rus-dan * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-dan\n\n\n* source group: Russian\n* target group: Danish\n* OPUS readme: rus-dan\n* model: transformer-align\n* source language(s): rus\n* target language(s): dan\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.6, chr-F: 0.714", "### System Info:\n\n\n* hf\\_name: rus-dan\n* source\\_languages: rus\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'da']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'dan'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: dan\n* short\\_pair: ru-da\n* chrF2\\_score: 0.7140000000000001\n* bleu: 56.6\n* brevity\\_penalty: 0.977\n* ref\\_len: 11746.0\n* src\\_name: Russian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: rus-dan\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-dan\n\n\n* source group: Russian\n* target group: Danish\n* OPUS readme: rus-dan\n* model: transformer-align\n* source language(s): rus\n* target language(s): dan\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.6, chr-F: 0.714", "### System Info:\n\n\n* hf\\_name: rus-dan\n* source\\_languages: rus\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'da']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'dan'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: dan\n* short\\_pair: ru-da\n* chrF2\\_score: 0.7140000000000001\n* bleu: 56.6\n* brevity\\_penalty: 0.977\n* ref\\_len: 11746.0\n* src\\_name: Russian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: rus-dan\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-dan\n\n\n* source group: Russian\n* target group: Danish\n* OPUS readme: rus-dan\n* model: transformer-align\n* source language(s): rus\n* target language(s): dan\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.6, chr-F: 0.714### System Info:\n\n\n* hf\\_name: rus-dan\n* source\\_languages: rus\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'da']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'dan'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: dan\n* short\\_pair: ru-da\n* chrF2\\_score: 0.7140000000000001\n* bleu: 56.6\n* brevity\\_penalty: 0.977\n* ref\\_len: 11746.0\n* src\\_name: Russian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: rus-dan\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-ru-en ## Table of Contents - [Model Details](#model-details) - [Uses](#uses) - [Risks, Limitations and Biases](#risks-limitations-and-biases) - [Training](#training) - [Evaluation](#evaluation) - [Citation Information](#citation-information) - [How to Get Started With the Model](#how-to-get-started-with-the-model) ## Model Details Model Description: - Developed by: Language Technology Research Group at the University of Helsinki - Model Type: Transformer-align - Language(s): - Source Language: Russian - Target Language: English - License: CC-BY-4.0 - Resources for more information: - [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) ## Uses #### Direct Use This model can be used for translation and text-to-text generation. ## Risks, Limitations and Biases CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Further details about the dataset for this model can be found in the OPUS readme: [ru-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-en/README.md) ## Training #### Training Data ##### Preprocessing * Pre-processing: Normalization + SentencePiece * Dataset: [opus](https://github.com/Helsinki-NLP/Opus-MT) * Download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.zip) * Test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.test.txt) ## Evaluation #### Results * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.eval.txt) #### Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2012.ru.en \| 34.8 \| 0.603 \| \| newstest2013.ru.en \| 27.9 \| 0.545 \| \| newstest2014-ruen.ru.en \| 31.9 \| 0.591 \| \| newstest2015-enru.ru.en \| 30.4 \| 0.568 \| \| newstest2016-enru.ru.en \| 30.1 \| 0.565 \| \| newstest2017-enru.ru.en \| 33.4 \| 0.593 \| \| newstest2018-enru.ru.en \| 29.6 \| 0.565 \| \| newstest2019-ruen.ru.en \| 31.4 \| 0.576 \| \| Tatoeba.ru.en \| 61.1 \| 0.736 \| ## Citation Information ```bibtex @InProceedings{TiedemannThottingal:EAMT2020, author = {J{\"o}rg Tiedemann and Santhosh Thottingal}, title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld}, booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)}, year = {2020}, address = {Lisbon, Portugal} } ``` ## How to Get Started With the Model ```python from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-en") ```	{"license": "cc-by-4.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-en	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "ru", "en", "license:cc-by-4.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #ru #en #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ru-en Table of Contents ----------------- * Model Details * Uses * Risks, Limitations and Biases * Training * Evaluation * Citation Information * How to Get Started With the Model Model Details ------------- Model Description: * Developed by: Language Technology Research Group at the University of Helsinki * Model Type: Transformer-align * Language(s): + Source Language: Russian + Target Language: English * License: CC-BY-4.0 * Resources for more information: + GitHub Repo Uses ---- #### Direct Use This model can be used for translation and text-to-text generation. Risks, Limitations and Biases ----------------------------- CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Further details about the dataset for this model can be found in the OPUS readme: ru-en Training -------- #### Training Data ##### Preprocessing * Pre-processing: Normalization + SentencePiece * Dataset: opus * Download original weights: URL * Test set translations: URL Evaluation ---------- #### Results * test set scores: URL #### Benchmarks testset: URL, BLEU: 34.8, chr-F: 0.603 testset: URL, BLEU: 27.9, chr-F: 0.545 testset: URL, BLEU: 31.9, chr-F: 0.591 testset: URL, BLEU: 30.4, chr-F: 0.568 testset: URL, BLEU: 30.1, chr-F: 0.565 testset: URL, BLEU: 33.4, chr-F: 0.593 testset: URL, BLEU: 29.6, chr-F: 0.565 testset: URL, BLEU: 31.4, chr-F: 0.576 testset: URL, BLEU: 61.1, chr-F: 0.736 How to Get Started With the Model ---------------------------------	[ "### opus-mt-ru-en\n\n\nTable of Contents\n-----------------\n\n\n* Model Details\n* Uses\n* Risks, Limitations and Biases\n* Training\n* Evaluation\n* Citation Information\n* How to Get Started With the Model\n\n\nModel Details\n-------------\n\n\nModel Description:\n\n\n* Developed by: Language Technology Research Group at the University of Helsinki\n* Model Type: Transformer-align\n* Language(s):\n\t+ Source Language: Russian\n\t+ Target Language: English\n* License: CC-BY-4.0\n* Resources for more information:\n\t+ GitHub Repo\n\n\nUses\n----", "#### Direct Use\n\n\nThis model can be used for translation and text-to-text generation.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nSignificant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).\n\n\nFurther details about the dataset for this model can be found in the OPUS readme: ru-en\n\n\nTraining\n--------", "#### Training Data", "##### Preprocessing\n\n\n* Pre-processing: Normalization + SentencePiece\n* Dataset: opus\n* Download original weights: URL\n* Test set translations: URL\n\n\nEvaluation\n----------", "#### Results\n\n\n* test set scores: URL", "#### Benchmarks\n\n\ntestset: URL, BLEU: 34.8, chr-F: 0.603\ntestset: URL, BLEU: 27.9, chr-F: 0.545\ntestset: URL, BLEU: 31.9, chr-F: 0.591\ntestset: URL, BLEU: 30.4, chr-F: 0.568\ntestset: URL, BLEU: 30.1, chr-F: 0.565\ntestset: URL, BLEU: 33.4, chr-F: 0.593\ntestset: URL, BLEU: 29.6, chr-F: 0.565\ntestset: URL, BLEU: 31.4, chr-F: 0.576\ntestset: URL, BLEU: 61.1, chr-F: 0.736\n\n\nHow to Get Started With the Model\n---------------------------------" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #ru #en #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ru-en\n\n\nTable of Contents\n-----------------\n\n\n* Model Details\n* Uses\n* Risks, Limitations and Biases\n* Training\n* Evaluation\n* Citation Information\n* How to Get Started With the Model\n\n\nModel Details\n-------------\n\n\nModel Description:\n\n\n* Developed by: Language Technology Research Group at the University of Helsinki\n* Model Type: Transformer-align\n* Language(s):\n\t+ Source Language: Russian\n\t+ Target Language: English\n* License: CC-BY-4.0\n* Resources for more information:\n\t+ GitHub Repo\n\n\nUses\n----", "#### Direct Use\n\n\nThis model can be used for translation and text-to-text generation.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nSignificant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).\n\n\nFurther details about the dataset for this model can be found in the OPUS readme: ru-en\n\n\nTraining\n--------", "#### Training Data", "##### Preprocessing\n\n\n* Pre-processing: Normalization + SentencePiece\n* Dataset: opus\n* Download original weights: URL\n* Test set translations: URL\n\n\nEvaluation\n----------", "#### Results\n\n\n* test set scores: URL", "#### Benchmarks\n\n\ntestset: URL, BLEU: 34.8, chr-F: 0.603\ntestset: URL, BLEU: 27.9, chr-F: 0.545\ntestset: URL, BLEU: 31.9, chr-F: 0.591\ntestset: URL, BLEU: 30.4, chr-F: 0.568\ntestset: URL, BLEU: 30.1, chr-F: 0.565\ntestset: URL, BLEU: 33.4, chr-F: 0.593\ntestset: URL, BLEU: 29.6, chr-F: 0.565\ntestset: URL, BLEU: 31.4, chr-F: 0.576\ntestset: URL, BLEU: 61.1, chr-F: 0.736\n\n\nHow to Get Started With the Model\n---------------------------------" ]	[ 55, 139, 149, 6, 49, 12, 253 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #ru #en #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ru-en\n\n\nTable of Contents\n-----------------\n\n\n* Model Details\n* Uses\n* Risks, Limitations and Biases\n* Training\n* Evaluation\n* Citation Information\n* How to Get Started With the Model\n\n\nModel Details\n-------------\n\n\nModel Description:\n\n\n* Developed by: Language Technology Research Group at the University of Helsinki\n* Model Type: Transformer-align\n* Language(s):\n\t+ Source Language: Russian\n\t+ Target Language: English\n* License: CC-BY-4.0\n* Resources for more information:\n\t+ GitHub Repo\n\n\nUses\n----#### Direct Use\n\n\nThis model can be used for translation and text-to-text generation.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nSignificant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).\n\n\nFurther details about the dataset for this model can be found in the OPUS readme: ru-en\n\n\nTraining\n--------#### Training Data##### Preprocessing\n\n\n* Pre-processing: Normalization + SentencePiece\n* Dataset: opus\n* Download original weights: URL\n* Test set translations: URL\n\n\nEvaluation\n----------#### Results\n\n\n* test set scores: URL#### Benchmarks\n\n\ntestset: URL, BLEU: 34.8, chr-F: 0.603\ntestset: URL, BLEU: 27.9, chr-F: 0.545\ntestset: URL, BLEU: 31.9, chr-F: 0.591\ntestset: URL, BLEU: 30.4, chr-F: 0.568\ntestset: URL, BLEU: 30.1, chr-F: 0.565\ntestset: URL, BLEU: 33.4, chr-F: 0.593\ntestset: URL, BLEU: 29.6, chr-F: 0.565\ntestset: URL, BLEU: 31.4, chr-F: 0.576\ntestset: URL, BLEU: 61.1, chr-F: 0.736\n\n\nHow to Get Started With the Model\n---------------------------------" ]
translation	transformers	### rus-epo * source group: Russian * target group: Esperanto * OPUS readme: [rus-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-epo/README.md) * model: transformer-align * source language(s): rus * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.epo \| 24.2 \| 0.436 \| ### System Info: - hf_name: rus-epo - source_languages: rus - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'eo'] - src_constituents: {'rus'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.test.txt - src_alpha3: rus - tgt_alpha3: epo - short_pair: ru-eo - chrF2_score: 0.436 - bleu: 24.2 - brevity_penalty: 0.925 - ref_len: 77197.0 - src_name: Russian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: ru - tgt_alpha2: eo - prefer_old: False - long_pair: rus-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-epo * source group: Russian * target group: Esperanto * OPUS readme: rus-epo * model: transformer-align * source language(s): rus * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.2, chr-F: 0.436 ### System Info: * hf\_name: rus-epo * source\_languages: rus * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'eo'] * src\_constituents: {'rus'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: epo * short\_pair: ru-eo * chrF2\_score: 0.436 * bleu: 24.2 * brevity\_penalty: 0.925 * ref\_len: 77197.0 * src\_name: Russian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: ru * tgt\_alpha2: eo * prefer\_old: False * long\_pair: rus-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-epo\n\n\n* source group: Russian\n* target group: Esperanto\n* OPUS readme: rus-epo\n* model: transformer-align\n* source language(s): rus\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.436", "### System Info:\n\n\n* hf\\_name: rus-epo\n* source\\_languages: rus\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'eo']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: epo\n* short\\_pair: ru-eo\n* chrF2\\_score: 0.436\n* bleu: 24.2\n* brevity\\_penalty: 0.925\n* ref\\_len: 77197.0\n* src\\_name: Russian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: rus-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-epo\n\n\n* source group: Russian\n* target group: Esperanto\n* OPUS readme: rus-epo\n* model: transformer-align\n* source language(s): rus\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.436", "### System Info:\n\n\n* hf\\_name: rus-epo\n* source\\_languages: rus\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'eo']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: epo\n* short\\_pair: ru-eo\n* chrF2\\_score: 0.436\n* bleu: 24.2\n* brevity\\_penalty: 0.925\n* ref\\_len: 77197.0\n* src\\_name: Russian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: rus-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 136, 402 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-epo\n\n\n* source group: Russian\n* target group: Esperanto\n* OPUS readme: rus-epo\n* model: transformer-align\n* source language(s): rus\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.436### System Info:\n\n\n* hf\\_name: rus-epo\n* source\\_languages: rus\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'eo']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: epo\n* short\\_pair: ru-eo\n* chrF2\\_score: 0.436\n* bleu: 24.2\n* brevity\\_penalty: 0.925\n* ref\\_len: 77197.0\n* src\\_name: Russian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: rus-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-ru-es * source languages: ru * target languages: es * OPUS readme: [ru-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2012.ru.es \| 26.1 \| 0.527 \| \| newstest2013.ru.es \| 28.2 \| 0.538 \| \| Tatoeba.ru.es \| 49.4 \| 0.675 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ru-es * source languages: ru * target languages: es * OPUS readme: ru-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.1, chr-F: 0.527 testset: URL, BLEU: 28.2, chr-F: 0.538 testset: URL, BLEU: 49.4, chr-F: 0.675	[ "### opus-mt-ru-es\n\n\n* source languages: ru\n* target languages: es\n* OPUS readme: ru-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.527\ntestset: URL, BLEU: 28.2, chr-F: 0.538\ntestset: URL, BLEU: 49.4, chr-F: 0.675" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ru-es\n\n\n* source languages: ru\n* target languages: es\n* OPUS readme: ru-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.527\ntestset: URL, BLEU: 28.2, chr-F: 0.538\ntestset: URL, BLEU: 49.4, chr-F: 0.675" ]	[ 51, 152 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ru-es\n\n\n* source languages: ru\n* target languages: es\n* OPUS readme: ru-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.527\ntestset: URL, BLEU: 28.2, chr-F: 0.538\ntestset: URL, BLEU: 49.4, chr-F: 0.675" ]
translation	transformers	### rus-est * source group: Russian * target group: Estonian * OPUS readme: [rus-est](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-est/README.md) * model: transformer-align * source language(s): rus * target language(s): est * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.est \| 57.5 \| 0.749 \| ### System Info: - hf_name: rus-est - source_languages: rus - target_languages: est - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-est/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'et'] - src_constituents: {'rus'} - tgt_constituents: {'est'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: est - short_pair: ru-et - chrF2_score: 0.7490000000000001 - bleu: 57.5 - brevity_penalty: 0.975 - ref_len: 3572.0 - src_name: Russian - tgt_name: Estonian - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: et - prefer_old: False - long_pair: rus-est - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "et"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-et	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "et", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "et" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-est * source group: Russian * target group: Estonian * OPUS readme: rus-est * model: transformer-align * source language(s): rus * target language(s): est * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 57.5, chr-F: 0.749 ### System Info: * hf\_name: rus-est * source\_languages: rus * target\_languages: est * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'et'] * src\_constituents: {'rus'} * tgt\_constituents: {'est'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: est * short\_pair: ru-et * chrF2\_score: 0.7490000000000001 * bleu: 57.5 * brevity\_penalty: 0.975 * ref\_len: 3572.0 * src\_name: Russian * tgt\_name: Estonian * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: et * prefer\_old: False * long\_pair: rus-est * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-est\n\n\n* source group: Russian\n* target group: Estonian\n* OPUS readme: rus-est\n* model: transformer-align\n* source language(s): rus\n* target language(s): est\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.5, chr-F: 0.749", "### System Info:\n\n\n* hf\\_name: rus-est\n* source\\_languages: rus\n* target\\_languages: est\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'et']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'est'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: est\n* short\\_pair: ru-et\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.5\n* brevity\\_penalty: 0.975\n* ref\\_len: 3572.0\n* src\\_name: Russian\n* tgt\\_name: Estonian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: et\n* prefer\\_old: False\n* long\\_pair: rus-est\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-est\n\n\n* source group: Russian\n* target group: Estonian\n* OPUS readme: rus-est\n* model: transformer-align\n* source language(s): rus\n* target language(s): est\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.5, chr-F: 0.749", "### System Info:\n\n\n* hf\\_name: rus-est\n* source\\_languages: rus\n* target\\_languages: est\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'et']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'est'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: est\n* short\\_pair: ru-et\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.5\n* brevity\\_penalty: 0.975\n* ref\\_len: 3572.0\n* src\\_name: Russian\n* tgt\\_name: Estonian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: et\n* prefer\\_old: False\n* long\\_pair: rus-est\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-est\n\n\n* source group: Russian\n* target group: Estonian\n* OPUS readme: rus-est\n* model: transformer-align\n* source language(s): rus\n* target language(s): est\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.5, chr-F: 0.749### System Info:\n\n\n* hf\\_name: rus-est\n* source\\_languages: rus\n* target\\_languages: est\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'et']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'est'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: est\n* short\\_pair: ru-et\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.5\n* brevity\\_penalty: 0.975\n* ref\\_len: 3572.0\n* src\\_name: Russian\n* tgt\\_name: Estonian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: et\n* prefer\\_old: False\n* long\\_pair: rus-est\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-eus * source group: Russian * target group: Basque * OPUS readme: [rus-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-eus/README.md) * model: transformer-align * source language(s): rus * target language(s): eus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.eus \| 29.7 \| 0.539 \| ### System Info: - hf_name: rus-eus - source_languages: rus - target_languages: eus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-eus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'eu'] - src_constituents: {'rus'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.test.txt - src_alpha3: rus - tgt_alpha3: eus - short_pair: ru-eu - chrF2_score: 0.539 - bleu: 29.7 - brevity_penalty: 0.9440000000000001 - ref_len: 2373.0 - src_name: Russian - tgt_name: Basque - train_date: 2020-06-16 - src_alpha2: ru - tgt_alpha2: eu - prefer_old: False - long_pair: rus-eus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "eu"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-eu	null	[ "transformers", "pytorch", "marian", "text2text-generation", "translation", "ru", "eu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "eu" ]	TAGS #transformers #pytorch #marian #text2text-generation #translation #ru #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-eus * source group: Russian * target group: Basque * OPUS readme: rus-eus * model: transformer-align * source language(s): rus * target language(s): eus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.7, chr-F: 0.539 ### System Info: * hf\_name: rus-eus * source\_languages: rus * target\_languages: eus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'eu'] * src\_constituents: {'rus'} * tgt\_constituents: {'eus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: eus * short\_pair: ru-eu * chrF2\_score: 0.539 * bleu: 29.7 * brevity\_penalty: 0.9440000000000001 * ref\_len: 2373.0 * src\_name: Russian * tgt\_name: Basque * train\_date: 2020-06-16 * src\_alpha2: ru * tgt\_alpha2: eu * prefer\_old: False * long\_pair: rus-eus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-eus\n\n\n* source group: Russian\n* target group: Basque\n* OPUS readme: rus-eus\n* model: transformer-align\n* source language(s): rus\n* target language(s): eus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.539", "### System Info:\n\n\n* hf\\_name: rus-eus\n* source\\_languages: rus\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'eu']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: eus\n* short\\_pair: ru-eu\n* chrF2\\_score: 0.539\n* bleu: 29.7\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 2373.0\n* src\\_name: Russian\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: rus-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #ru #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-eus\n\n\n* source group: Russian\n* target group: Basque\n* OPUS readme: rus-eus\n* model: transformer-align\n* source language(s): rus\n* target language(s): eus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.539", "### System Info:\n\n\n* hf\\_name: rus-eus\n* source\\_languages: rus\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'eu']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: eus\n* short\\_pair: ru-eu\n* chrF2\\_score: 0.539\n* bleu: 29.7\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 2373.0\n* src\\_name: Russian\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: rus-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 48, 134, 402 ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #ru #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-eus\n\n\n* source group: Russian\n* target group: Basque\n* OPUS readme: rus-eus\n* model: transformer-align\n* source language(s): rus\n* target language(s): eus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.539### System Info:\n\n\n* hf\\_name: rus-eus\n* source\\_languages: rus\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'eu']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: eus\n* short\\_pair: ru-eu\n* chrF2\\_score: 0.539\n* bleu: 29.7\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 2373.0\n* src\\_name: Russian\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: rus-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-ru-fi * source languages: ru * target languages: fi * OPUS readme: [ru-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ru.fi \| 40.1 \| 0.646 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ru-fi * source languages: ru * target languages: fi * OPUS readme: ru-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.1, chr-F: 0.646	[ "### opus-mt-ru-fi\n\n\n* source languages: ru\n* target languages: fi\n* OPUS readme: ru-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.1, chr-F: 0.646" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ru-fi\n\n\n* source languages: ru\n* target languages: fi\n* OPUS readme: ru-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.1, chr-F: 0.646" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ru-fi\n\n\n* source languages: ru\n* target languages: fi\n* OPUS readme: ru-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.1, chr-F: 0.646" ]
translation	transformers	### opus-mt-ru-fr * source languages: ru * target languages: fr * OPUS readme: [ru-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2012.ru.fr \| 18.3 \| 0.497 \| \| newstest2013.ru.fr \| 21.6 \| 0.516 \| \| Tatoeba.ru.fr \| 51.5 \| 0.670 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-fr	null	[ "transformers", "pytorch", "tf", "jax", "marian", "text2text-generation", "translation", "ru", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #jax #marian #text2text-generation #translation #ru #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ru-fr * source languages: ru * target languages: fr * OPUS readme: ru-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 18.3, chr-F: 0.497 testset: URL, BLEU: 21.6, chr-F: 0.516 testset: URL, BLEU: 51.5, chr-F: 0.670	[ "### opus-mt-ru-fr\n\n\n* source languages: ru\n* target languages: fr\n* OPUS readme: ru-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.3, chr-F: 0.497\ntestset: URL, BLEU: 21.6, chr-F: 0.516\ntestset: URL, BLEU: 51.5, chr-F: 0.670" ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #ru #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ru-fr\n\n\n* source languages: ru\n* target languages: fr\n* OPUS readme: ru-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.3, chr-F: 0.497\ntestset: URL, BLEU: 21.6, chr-F: 0.516\ntestset: URL, BLEU: 51.5, chr-F: 0.670" ]	[ 53, 151 ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #ru #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ru-fr\n\n\n* source languages: ru\n* target languages: fr\n* OPUS readme: ru-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.3, chr-F: 0.497\ntestset: URL, BLEU: 21.6, chr-F: 0.516\ntestset: URL, BLEU: 51.5, chr-F: 0.670" ]
translation	transformers	### ru-he * source group: Russian * target group: Hebrew * OPUS readme: [rus-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md) * model: transformer * source language(s): rus * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip) * test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt) * test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.heb \| 36.1 \| 0.569 \| ### System Info: - hf_name: ru-he - source_languages: rus - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'he'] - src_constituents: ('Russian', {'rus'}) - tgt_constituents: ('Hebrew', {'heb'}) - src_multilingual: False - tgt_multilingual: False - long_pair: rus-heb - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt - src_alpha3: rus - tgt_alpha3: heb - chrF2_score: 0.569 - bleu: 36.1 - brevity_penalty: 0.9990000000000001 - ref_len: 15028.0 - src_name: Russian - tgt_name: Hebrew - train_date: 2020-10-04 00:00:00 - src_alpha2: ru - tgt_alpha2: he - prefer_old: False - short_pair: ru-he - helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561 - transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435 - port_machine: LM0-400-22516.local - port_time: 2020-10-26-16:16	{"language": ["ru", "he"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-he	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "he" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ru-he * source group: Russian * target group: Hebrew * OPUS readme: rus-heb * model: transformer * source language(s): rus * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.1, chr-F: 0.569 ### System Info: * hf\_name: ru-he * source\_languages: rus * target\_languages: heb * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'he'] * src\_constituents: ('Russian', {'rus'}) * tgt\_constituents: ('Hebrew', {'heb'}) * src\_multilingual: False * tgt\_multilingual: False * long\_pair: rus-heb * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: heb * chrF2\_score: 0.569 * bleu: 36.1 * brevity\_penalty: 0.9990000000000001 * ref\_len: 15028.0 * src\_name: Russian * tgt\_name: Hebrew * train\_date: 2020-10-04 00:00:00 * src\_alpha2: ru * tgt\_alpha2: he * prefer\_old: False * short\_pair: ru-he * helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561 * transformers\_git\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435 * port\_machine: URL * port\_time: 2020-10-26-16:16	[ "### ru-he\n\n\n* source group: Russian\n* target group: Hebrew\n* OPUS readme: rus-heb\n* model: transformer\n* source language(s): rus\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.569", "### System Info:\n\n\n* hf\\_name: ru-he\n* source\\_languages: rus\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'he']\n* src\\_constituents: ('Russian', {'rus'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: rus-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.569\n* bleu: 36.1\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 15028.0\n* src\\_name: Russian\n* tgt\\_name: Hebrew\n* train\\_date: 2020-10-04 00:00:00\n* src\\_alpha2: ru\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: ru-he\n* helsinki\\_git\\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561\n* transformers\\_git\\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435\n* port\\_machine: URL\n* port\\_time: 2020-10-26-16:16" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ru-he\n\n\n* source group: Russian\n* target group: Hebrew\n* OPUS readme: rus-heb\n* model: transformer\n* source language(s): rus\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.569", "### System Info:\n\n\n* hf\\_name: ru-he\n* source\\_languages: rus\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'he']\n* src\\_constituents: ('Russian', {'rus'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: rus-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.569\n* bleu: 36.1\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 15028.0\n* src\\_name: Russian\n* tgt\\_name: Hebrew\n* train\\_date: 2020-10-04 00:00:00\n* src\\_alpha2: ru\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: ru-he\n* helsinki\\_git\\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561\n* transformers\\_git\\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435\n* port\\_machine: URL\n* port\\_time: 2020-10-26-16:16" ]	[ 51, 129, 418 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ru-he\n\n\n* source group: Russian\n* target group: Hebrew\n* OPUS readme: rus-heb\n* model: transformer\n* source language(s): rus\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.569### System Info:\n\n\n* hf\\_name: ru-he\n* source\\_languages: rus\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'he']\n* src\\_constituents: ('Russian', {'rus'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: rus-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.569\n* bleu: 36.1\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 15028.0\n* src\\_name: Russian\n* tgt\\_name: Hebrew\n* train\\_date: 2020-10-04 00:00:00\n* src\\_alpha2: ru\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: ru-he\n* helsinki\\_git\\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561\n* transformers\\_git\\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435\n* port\\_machine: URL\n* port\\_time: 2020-10-26-16:16" ]
translation	transformers	### rus-hye * source group: Russian * target group: Armenian * OPUS readme: [rus-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md) * model: transformer-align * source language(s): rus * target language(s): hye hye_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.hye \| 21.7 \| 0.494 \| ### System Info: - hf_name: rus-hye - source_languages: rus - target_languages: hye - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'hy'] - src_constituents: {'rus'} - tgt_constituents: {'hye', 'hye_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt - src_alpha3: rus - tgt_alpha3: hye - short_pair: ru-hy - chrF2_score: 0.494 - bleu: 21.7 - brevity_penalty: 1.0 - ref_len: 1602.0 - src_name: Russian - tgt_name: Armenian - train_date: 2020-06-16 - src_alpha2: ru - tgt_alpha2: hy - prefer_old: False - long_pair: rus-hye - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "hy"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-hy	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "hy", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "hy" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #hy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-hye * source group: Russian * target group: Armenian * OPUS readme: rus-hye * model: transformer-align * source language(s): rus * target language(s): hye hye\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.7, chr-F: 0.494 ### System Info: * hf\_name: rus-hye * source\_languages: rus * target\_languages: hye * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'hy'] * src\_constituents: {'rus'} * tgt\_constituents: {'hye', 'hye\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: hye * short\_pair: ru-hy * chrF2\_score: 0.494 * bleu: 21.7 * brevity\_penalty: 1.0 * ref\_len: 1602.0 * src\_name: Russian * tgt\_name: Armenian * train\_date: 2020-06-16 * src\_alpha2: ru * tgt\_alpha2: hy * prefer\_old: False * long\_pair: rus-hye * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-hye\n\n\n* source group: Russian\n* target group: Armenian\n* OPUS readme: rus-hye\n* model: transformer-align\n* source language(s): rus\n* target language(s): hye hye\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.494", "### System Info:\n\n\n* hf\\_name: rus-hye\n* source\\_languages: rus\n* target\\_languages: hye\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'hy']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'hye', 'hye\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: hye\n* short\\_pair: ru-hy\n* chrF2\\_score: 0.494\n* bleu: 21.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 1602.0\n* src\\_name: Russian\n* tgt\\_name: Armenian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: hy\n* prefer\\_old: False\n* long\\_pair: rus-hye\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #hy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-hye\n\n\n* source group: Russian\n* target group: Armenian\n* OPUS readme: rus-hye\n* model: transformer-align\n* source language(s): rus\n* target language(s): hye hye\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.494", "### System Info:\n\n\n* hf\\_name: rus-hye\n* source\\_languages: rus\n* target\\_languages: hye\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'hy']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'hye', 'hye\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: hye\n* short\\_pair: ru-hy\n* chrF2\\_score: 0.494\n* bleu: 21.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 1602.0\n* src\\_name: Russian\n* tgt\\_name: Armenian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: hy\n* prefer\\_old: False\n* long\\_pair: rus-hye\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 168, 408 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #hy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-hye\n\n\n* source group: Russian\n* target group: Armenian\n* OPUS readme: rus-hye\n* model: transformer-align\n* source language(s): rus\n* target language(s): hye hye\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.494### System Info:\n\n\n* hf\\_name: rus-hye\n* source\\_languages: rus\n* target\\_languages: hye\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'hy']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'hye', 'hye\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: hye\n* short\\_pair: ru-hy\n* chrF2\\_score: 0.494\n* bleu: 21.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 1602.0\n* src\\_name: Russian\n* tgt\\_name: Armenian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ru\n* tgt\\_alpha2: hy\n* prefer\\_old: False\n* long\\_pair: rus-hye\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-lit * source group: Russian * target group: Lithuanian * OPUS readme: [rus-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lit/README.md) * model: transformer-align * source language(s): rus * target language(s): lit * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.lit \| 43.5 \| 0.675 \| ### System Info: - hf_name: rus-lit - source_languages: rus - target_languages: lit - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lit/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'lt'] - src_constituents: {'rus'} - tgt_constituents: {'lit'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: lit - short_pair: ru-lt - chrF2_score: 0.675 - bleu: 43.5 - brevity_penalty: 0.937 - ref_len: 14406.0 - src_name: Russian - tgt_name: Lithuanian - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: lt - prefer_old: False - long_pair: rus-lit - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "lt"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-lt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "lt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "lt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-lit * source group: Russian * target group: Lithuanian * OPUS readme: rus-lit * model: transformer-align * source language(s): rus * target language(s): lit * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 43.5, chr-F: 0.675 ### System Info: * hf\_name: rus-lit * source\_languages: rus * target\_languages: lit * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'lt'] * src\_constituents: {'rus'} * tgt\_constituents: {'lit'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: lit * short\_pair: ru-lt * chrF2\_score: 0.675 * bleu: 43.5 * brevity\_penalty: 0.937 * ref\_len: 14406.0 * src\_name: Russian * tgt\_name: Lithuanian * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: lt * prefer\_old: False * long\_pair: rus-lit * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-lit\n\n\n* source group: Russian\n* target group: Lithuanian\n* OPUS readme: rus-lit\n* model: transformer-align\n* source language(s): rus\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.5, chr-F: 0.675", "### System Info:\n\n\n* hf\\_name: rus-lit\n* source\\_languages: rus\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'lt']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: lit\n* short\\_pair: ru-lt\n* chrF2\\_score: 0.675\n* bleu: 43.5\n* brevity\\_penalty: 0.937\n* ref\\_len: 14406.0\n* src\\_name: Russian\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: rus-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-lit\n\n\n* source group: Russian\n* target group: Lithuanian\n* OPUS readme: rus-lit\n* model: transformer-align\n* source language(s): rus\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.5, chr-F: 0.675", "### System Info:\n\n\n* hf\\_name: rus-lit\n* source\\_languages: rus\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'lt']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: lit\n* short\\_pair: ru-lt\n* chrF2\\_score: 0.675\n* bleu: 43.5\n* brevity\\_penalty: 0.937\n* ref\\_len: 14406.0\n* src\\_name: Russian\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: rus-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 392 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-lit\n\n\n* source group: Russian\n* target group: Lithuanian\n* OPUS readme: rus-lit\n* model: transformer-align\n* source language(s): rus\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.5, chr-F: 0.675### System Info:\n\n\n* hf\\_name: rus-lit\n* source\\_languages: rus\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'lt']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: lit\n* short\\_pair: ru-lt\n* chrF2\\_score: 0.675\n* bleu: 43.5\n* brevity\\_penalty: 0.937\n* ref\\_len: 14406.0\n* src\\_name: Russian\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: rus-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-lav * source group: Russian * target group: Latvian * OPUS readme: [rus-lav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md) * model: transformer-align * source language(s): rus * target language(s): lav * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.lav \| 50.0 \| 0.696 \| ### System Info: - hf_name: rus-lav - source_languages: rus - target_languages: lav - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'lv'] - src_constituents: {'rus'} - tgt_constituents: {'lav'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: lav - short_pair: ru-lv - chrF2_score: 0.696 - bleu: 50.0 - brevity_penalty: 0.968 - ref_len: 1518.0 - src_name: Russian - tgt_name: Latvian - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: lv - prefer_old: False - long_pair: rus-lav - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "lv"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-lv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "lv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "lv" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-lav * source group: Russian * target group: Latvian * OPUS readme: rus-lav * model: transformer-align * source language(s): rus * target language(s): lav * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 50.0, chr-F: 0.696 ### System Info: * hf\_name: rus-lav * source\_languages: rus * target\_languages: lav * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'lv'] * src\_constituents: {'rus'} * tgt\_constituents: {'lav'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: lav * short\_pair: ru-lv * chrF2\_score: 0.696 * bleu: 50.0 * brevity\_penalty: 0.968 * ref\_len: 1518.0 * src\_name: Russian * tgt\_name: Latvian * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: lv * prefer\_old: False * long\_pair: rus-lav * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-lav\n\n\n* source group: Russian\n* target group: Latvian\n* OPUS readme: rus-lav\n* model: transformer-align\n* source language(s): rus\n* target language(s): lav\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.0, chr-F: 0.696", "### System Info:\n\n\n* hf\\_name: rus-lav\n* source\\_languages: rus\n* target\\_languages: lav\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'lv']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'lav'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: lav\n* short\\_pair: ru-lv\n* chrF2\\_score: 0.696\n* bleu: 50.0\n* brevity\\_penalty: 0.968\n* ref\\_len: 1518.0\n* src\\_name: Russian\n* tgt\\_name: Latvian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: lv\n* prefer\\_old: False\n* long\\_pair: rus-lav\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-lav\n\n\n* source group: Russian\n* target group: Latvian\n* OPUS readme: rus-lav\n* model: transformer-align\n* source language(s): rus\n* target language(s): lav\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.0, chr-F: 0.696", "### System Info:\n\n\n* hf\\_name: rus-lav\n* source\\_languages: rus\n* target\\_languages: lav\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'lv']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'lav'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: lav\n* short\\_pair: ru-lv\n* chrF2\\_score: 0.696\n* bleu: 50.0\n* brevity\\_penalty: 0.968\n* ref\\_len: 1518.0\n* src\\_name: Russian\n* tgt\\_name: Latvian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: lv\n* prefer\\_old: False\n* long\\_pair: rus-lav\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 134, 399 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-lav\n\n\n* source group: Russian\n* target group: Latvian\n* OPUS readme: rus-lav\n* model: transformer-align\n* source language(s): rus\n* target language(s): lav\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.0, chr-F: 0.696### System Info:\n\n\n* hf\\_name: rus-lav\n* source\\_languages: rus\n* target\\_languages: lav\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'lv']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'lav'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: lav\n* short\\_pair: ru-lv\n* chrF2\\_score: 0.696\n* bleu: 50.0\n* brevity\\_penalty: 0.968\n* ref\\_len: 1518.0\n* src\\_name: Russian\n* tgt\\_name: Latvian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: lv\n* prefer\\_old: False\n* long\\_pair: rus-lav\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-nor * source group: Russian * target group: Norwegian * OPUS readme: [rus-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md) * model: transformer-align * source language(s): rus * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.nor \| 20.3 \| 0.418 \| ### System Info: - hf_name: rus-nor - source_languages: rus - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'no'] - src_constituents: {'rus'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: nor - short_pair: ru-no - chrF2_score: 0.418 - bleu: 20.3 - brevity_penalty: 0.946 - ref_len: 11686.0 - src_name: Russian - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: no - prefer_old: False - long_pair: rus-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", false], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-no	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-nor * source group: Russian * target group: Norwegian * OPUS readme: rus-nor * model: transformer-align * source language(s): rus * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.3, chr-F: 0.418 ### System Info: * hf\_name: rus-nor * source\_languages: rus * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'no'] * src\_constituents: {'rus'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: nor * short\_pair: ru-no * chrF2\_score: 0.418 * bleu: 20.3 * brevity\_penalty: 0.946 * ref\_len: 11686.0 * src\_name: Russian * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: no * prefer\_old: False * long\_pair: rus-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-nor\n\n\n* source group: Russian\n* target group: Norwegian\n* OPUS readme: rus-nor\n* model: transformer-align\n* source language(s): rus\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.418", "### System Info:\n\n\n* hf\\_name: rus-nor\n* source\\_languages: rus\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'no']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: nor\n* short\\_pair: ru-no\n* chrF2\\_score: 0.418\n* bleu: 20.3\n* brevity\\_penalty: 0.946\n* ref\\_len: 11686.0\n* src\\_name: Russian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: rus-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-nor\n\n\n* source group: Russian\n* target group: Norwegian\n* OPUS readme: rus-nor\n* model: transformer-align\n* source language(s): rus\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.418", "### System Info:\n\n\n* hf\\_name: rus-nor\n* source\\_languages: rus\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'no']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: nor\n* short\\_pair: ru-no\n* chrF2\\_score: 0.418\n* bleu: 20.3\n* brevity\\_penalty: 0.946\n* ref\\_len: 11686.0\n* src\\_name: Russian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: rus-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 161, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-nor\n\n\n* source group: Russian\n* target group: Norwegian\n* OPUS readme: rus-nor\n* model: transformer-align\n* source language(s): rus\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.418### System Info:\n\n\n* hf\\_name: rus-nor\n* source\\_languages: rus\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'no']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: nor\n* short\\_pair: ru-no\n* chrF2\\_score: 0.418\n* bleu: 20.3\n* brevity\\_penalty: 0.946\n* ref\\_len: 11686.0\n* src\\_name: Russian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: rus-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-slv * source group: Russian * target group: Slovenian * OPUS readme: [rus-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md) * model: transformer-align * source language(s): rus * target language(s): slv * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.slv \| 32.3 \| 0.492 \| ### System Info: - hf_name: rus-slv - source_languages: rus - target_languages: slv - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'sl'] - src_constituents: {'rus'} - tgt_constituents: {'slv'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: slv - short_pair: ru-sl - chrF2_score: 0.49200000000000005 - bleu: 32.3 - brevity_penalty: 0.992 - ref_len: 2135.0 - src_name: Russian - tgt_name: Slovenian - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: sl - prefer_old: False - long_pair: rus-slv - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "sl"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-sl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "sl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "sl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-slv * source group: Russian * target group: Slovenian * OPUS readme: rus-slv * model: transformer-align * source language(s): rus * target language(s): slv * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.3, chr-F: 0.492 ### System Info: * hf\_name: rus-slv * source\_languages: rus * target\_languages: slv * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'sl'] * src\_constituents: {'rus'} * tgt\_constituents: {'slv'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: slv * short\_pair: ru-sl * chrF2\_score: 0.49200000000000005 * bleu: 32.3 * brevity\_penalty: 0.992 * ref\_len: 2135.0 * src\_name: Russian * tgt\_name: Slovenian * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: sl * prefer\_old: False * long\_pair: rus-slv * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-slv\n\n\n* source group: Russian\n* target group: Slovenian\n* OPUS readme: rus-slv\n* model: transformer-align\n* source language(s): rus\n* target language(s): slv\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.3, chr-F: 0.492", "### System Info:\n\n\n* hf\\_name: rus-slv\n* source\\_languages: rus\n* target\\_languages: slv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'sl']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'slv'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: slv\n* short\\_pair: ru-sl\n* chrF2\\_score: 0.49200000000000005\n* bleu: 32.3\n* brevity\\_penalty: 0.992\n* ref\\_len: 2135.0\n* src\\_name: Russian\n* tgt\\_name: Slovenian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: sl\n* prefer\\_old: False\n* long\\_pair: rus-slv\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-slv\n\n\n* source group: Russian\n* target group: Slovenian\n* OPUS readme: rus-slv\n* model: transformer-align\n* source language(s): rus\n* target language(s): slv\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.3, chr-F: 0.492", "### System Info:\n\n\n* hf\\_name: rus-slv\n* source\\_languages: rus\n* target\\_languages: slv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'sl']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'slv'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: slv\n* short\\_pair: ru-sl\n* chrF2\\_score: 0.49200000000000005\n* bleu: 32.3\n* brevity\\_penalty: 0.992\n* ref\\_len: 2135.0\n* src\\_name: Russian\n* tgt\\_name: Slovenian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: sl\n* prefer\\_old: False\n* long\\_pair: rus-slv\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 403 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-slv\n\n\n* source group: Russian\n* target group: Slovenian\n* OPUS readme: rus-slv\n* model: transformer-align\n* source language(s): rus\n* target language(s): slv\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.3, chr-F: 0.492### System Info:\n\n\n* hf\\_name: rus-slv\n* source\\_languages: rus\n* target\\_languages: slv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'sl']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'slv'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: slv\n* short\\_pair: ru-sl\n* chrF2\\_score: 0.49200000000000005\n* bleu: 32.3\n* brevity\\_penalty: 0.992\n* ref\\_len: 2135.0\n* src\\_name: Russian\n* tgt\\_name: Slovenian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: sl\n* prefer\\_old: False\n* long\\_pair: rus-slv\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-swe * source group: Russian * target group: Swedish * OPUS readme: [rus-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-swe/README.md) * model: transformer-align * source language(s): rus * target language(s): swe * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.swe \| 51.9 \| 0.677 \| ### System Info: - hf_name: rus-swe - source_languages: rus - target_languages: swe - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-swe/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'sv'] - src_constituents: {'rus'} - tgt_constituents: {'swe'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: swe - short_pair: ru-sv - chrF2_score: 0.677 - bleu: 51.9 - brevity_penalty: 0.968 - ref_len: 8449.0 - src_name: Russian - tgt_name: Swedish - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: sv - prefer_old: False - long_pair: rus-swe - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "sv"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "sv" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-swe * source group: Russian * target group: Swedish * OPUS readme: rus-swe * model: transformer-align * source language(s): rus * target language(s): swe * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 51.9, chr-F: 0.677 ### System Info: * hf\_name: rus-swe * source\_languages: rus * target\_languages: swe * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'sv'] * src\_constituents: {'rus'} * tgt\_constituents: {'swe'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: swe * short\_pair: ru-sv * chrF2\_score: 0.677 * bleu: 51.9 * brevity\_penalty: 0.968 * ref\_len: 8449.0 * src\_name: Russian * tgt\_name: Swedish * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: sv * prefer\_old: False * long\_pair: rus-swe * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-swe\n\n\n* source group: Russian\n* target group: Swedish\n* OPUS readme: rus-swe\n* model: transformer-align\n* source language(s): rus\n* target language(s): swe\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.9, chr-F: 0.677", "### System Info:\n\n\n* hf\\_name: rus-swe\n* source\\_languages: rus\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'sv']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'swe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: swe\n* short\\_pair: ru-sv\n* chrF2\\_score: 0.677\n* bleu: 51.9\n* brevity\\_penalty: 0.968\n* ref\\_len: 8449.0\n* src\\_name: Russian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: rus-swe\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-swe\n\n\n* source group: Russian\n* target group: Swedish\n* OPUS readme: rus-swe\n* model: transformer-align\n* source language(s): rus\n* target language(s): swe\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.9, chr-F: 0.677", "### System Info:\n\n\n* hf\\_name: rus-swe\n* source\\_languages: rus\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'sv']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'swe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: swe\n* short\\_pair: ru-sv\n* chrF2\\_score: 0.677\n* bleu: 51.9\n* brevity\\_penalty: 0.968\n* ref\\_len: 8449.0\n* src\\_name: Russian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: rus-swe\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-swe\n\n\n* source group: Russian\n* target group: Swedish\n* OPUS readme: rus-swe\n* model: transformer-align\n* source language(s): rus\n* target language(s): swe\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.9, chr-F: 0.677### System Info:\n\n\n* hf\\_name: rus-swe\n* source\\_languages: rus\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'sv']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'swe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: swe\n* short\\_pair: ru-sv\n* chrF2\\_score: 0.677\n* bleu: 51.9\n* brevity\\_penalty: 0.968\n* ref\\_len: 8449.0\n* src\\_name: Russian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: rus-swe\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-ukr * source group: Russian * target group: Ukrainian * OPUS readme: [rus-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ukr/README.md) * model: transformer-align * source language(s): rus * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.ukr \| 64.0 \| 0.793 \| ### System Info: - hf_name: rus-ukr - source_languages: rus - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'uk'] - src_constituents: {'rus'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: ukr - short_pair: ru-uk - chrF2_score: 0.7929999999999999 - bleu: 64.0 - brevity_penalty: 0.99 - ref_len: 60212.0 - src_name: Russian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: uk - prefer_old: False - long_pair: rus-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ru", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ru #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-ukr * source group: Russian * target group: Ukrainian * OPUS readme: rus-ukr * model: transformer-align * source language(s): rus * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 64.0, chr-F: 0.793 ### System Info: * hf\_name: rus-ukr * source\_languages: rus * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'uk'] * src\_constituents: {'rus'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: ukr * short\_pair: ru-uk * chrF2\_score: 0.7929999999999999 * bleu: 64.0 * brevity\_penalty: 0.99 * ref\_len: 60212.0 * src\_name: Russian * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: uk * prefer\_old: False * long\_pair: rus-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-ukr\n\n\n* source group: Russian\n* target group: Ukrainian\n* OPUS readme: rus-ukr\n* model: transformer-align\n* source language(s): rus\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 64.0, chr-F: 0.793", "### System Info:\n\n\n* hf\\_name: rus-ukr\n* source\\_languages: rus\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'uk']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: ukr\n* short\\_pair: ru-uk\n* chrF2\\_score: 0.7929999999999999\n* bleu: 64.0\n* brevity\\_penalty: 0.99\n* ref\\_len: 60212.0\n* src\\_name: Russian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: rus-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-ukr\n\n\n* source group: Russian\n* target group: Ukrainian\n* OPUS readme: rus-ukr\n* model: transformer-align\n* source language(s): rus\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 64.0, chr-F: 0.793", "### System Info:\n\n\n* hf\\_name: rus-ukr\n* source\\_languages: rus\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'uk']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: ukr\n* short\\_pair: ru-uk\n* chrF2\\_score: 0.7929999999999999\n* bleu: 64.0\n* brevity\\_penalty: 0.99\n* ref\\_len: 60212.0\n* src\\_name: Russian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: rus-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 408 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ru #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-ukr\n\n\n* source group: Russian\n* target group: Ukrainian\n* OPUS readme: rus-ukr\n* model: transformer-align\n* source language(s): rus\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 64.0, chr-F: 0.793### System Info:\n\n\n* hf\\_name: rus-ukr\n* source\\_languages: rus\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'uk']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: ukr\n* short\\_pair: ru-uk\n* chrF2\\_score: 0.7929999999999999\n* bleu: 64.0\n* brevity\\_penalty: 0.99\n* ref\\_len: 60212.0\n* src\\_name: Russian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: rus-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### rus-vie * source group: Russian * target group: Vietnamese * OPUS readme: [rus-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-vie/README.md) * model: transformer-align * source language(s): rus * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.rus.vie \| 16.9 \| 0.346 \| ### System Info: - hf_name: rus-vie - source_languages: rus - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ru', 'vi'] - src_constituents: {'rus'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.test.txt - src_alpha3: rus - tgt_alpha3: vie - short_pair: ru-vi - chrF2_score: 0.34600000000000003 - bleu: 16.9 - brevity_penalty: 1.0 - ref_len: 2566.0 - src_name: Russian - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: ru - tgt_alpha2: vi - prefer_old: False - long_pair: rus-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ru", "vi"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ru-vi	null	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "ru", "vi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ru", "vi" ]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #ru #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### rus-vie * source group: Russian * target group: Vietnamese * OPUS readme: rus-vie * model: transformer-align * source language(s): rus * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 16.9, chr-F: 0.346 ### System Info: * hf\_name: rus-vie * source\_languages: rus * target\_languages: vie * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ru', 'vi'] * src\_constituents: {'rus'} * tgt\_constituents: {'vie', 'vie\_Hani'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: rus * tgt\_alpha3: vie * short\_pair: ru-vi * chrF2\_score: 0.34600000000000003 * bleu: 16.9 * brevity\_penalty: 1.0 * ref\_len: 2566.0 * src\_name: Russian * tgt\_name: Vietnamese * train\_date: 2020-06-17 * src\_alpha2: ru * tgt\_alpha2: vi * prefer\_old: False * long\_pair: rus-vie * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### rus-vie\n\n\n* source group: Russian\n* target group: Vietnamese\n* OPUS readme: rus-vie\n* model: transformer-align\n* source language(s): rus\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.9, chr-F: 0.346", "### System Info:\n\n\n* hf\\_name: rus-vie\n* source\\_languages: rus\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'vi']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: vie\n* short\\_pair: ru-vi\n* chrF2\\_score: 0.34600000000000003\n* bleu: 16.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 2566.0\n* src\\_name: Russian\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: rus-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #ru #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### rus-vie\n\n\n* source group: Russian\n* target group: Vietnamese\n* OPUS readme: rus-vie\n* model: transformer-align\n* source language(s): rus\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.9, chr-F: 0.346", "### System Info:\n\n\n* hf\\_name: rus-vie\n* source\\_languages: rus\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'vi']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: vie\n* short\\_pair: ru-vi\n* chrF2\\_score: 0.34600000000000003\n* bleu: 16.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 2566.0\n* src\\_name: Russian\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: rus-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 55, 131, 405 ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #ru #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### rus-vie\n\n\n* source group: Russian\n* target group: Vietnamese\n* OPUS readme: rus-vie\n* model: transformer-align\n* source language(s): rus\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.9, chr-F: 0.346### System Info:\n\n\n* hf\\_name: rus-vie\n* source\\_languages: rus\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ru', 'vi']\n* src\\_constituents: {'rus'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: rus\n* tgt\\_alpha3: vie\n* short\\_pair: ru-vi\n* chrF2\\_score: 0.34600000000000003\n* bleu: 16.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 2566.0\n* src\\_name: Russian\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ru\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: rus-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-run-en * source languages: run * target languages: en * OPUS readme: [run-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.run.en \| 42.7 \| 0.583 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-run-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "run", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #run #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-run-en * source languages: run * target languages: en * OPUS readme: run-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 42.7, chr-F: 0.583	[ "### opus-mt-run-en\n\n\n* source languages: run\n* target languages: en\n* OPUS readme: run-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.7, chr-F: 0.583" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #run #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-run-en\n\n\n* source languages: run\n* target languages: en\n* OPUS readme: run-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.7, chr-F: 0.583" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #run #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-run-en\n\n\n* source languages: run\n* target languages: en\n* OPUS readme: run-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.7, chr-F: 0.583" ]
translation	transformers	### opus-mt-run-es * source languages: run * target languages: es * OPUS readme: [run-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/run-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.run.es \| 26.9 \| 0.452 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-run-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "run", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #run #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-run-es * source languages: run * target languages: es * OPUS readme: run-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.9, chr-F: 0.452	[ "### opus-mt-run-es\n\n\n* source languages: run\n* target languages: es\n* OPUS readme: run-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.452" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #run #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-run-es\n\n\n* source languages: run\n* target languages: es\n* OPUS readme: run-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.452" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #run #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-run-es\n\n\n* source languages: run\n* target languages: es\n* OPUS readme: run-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.452" ]
translation	transformers	### opus-mt-run-sv * source languages: run * target languages: sv * OPUS readme: [run-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/run-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.run.sv \| 30.1 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-run-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "run", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #run #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-run-sv * source languages: run * target languages: sv * OPUS readme: run-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.1, chr-F: 0.484	[ "### opus-mt-run-sv\n\n\n* source languages: run\n* target languages: sv\n* OPUS readme: run-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.1, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #run #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-run-sv\n\n\n* source languages: run\n* target languages: sv\n* OPUS readme: run-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.1, chr-F: 0.484" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #run #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-run-sv\n\n\n* source languages: run\n* target languages: sv\n* OPUS readme: run-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.1, chr-F: 0.484" ]
translation	transformers	### opus-mt-rw-en * source languages: rw * target languages: en * OPUS readme: [rw-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rw-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rw.en \| 37.3 \| 0.530 \| \| Tatoeba.rw.en \| 49.8 \| 0.643 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rw-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rw", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rw-en * source languages: rw * target languages: en * OPUS readme: rw-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.3, chr-F: 0.530 testset: URL, BLEU: 49.8, chr-F: 0.643	[ "### opus-mt-rw-en\n\n\n* source languages: rw\n* target languages: en\n* OPUS readme: rw-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.3, chr-F: 0.530\ntestset: URL, BLEU: 49.8, chr-F: 0.643" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rw-en\n\n\n* source languages: rw\n* target languages: en\n* OPUS readme: rw-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.3, chr-F: 0.530\ntestset: URL, BLEU: 49.8, chr-F: 0.643" ]	[ 52, 131 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rw-en\n\n\n* source languages: rw\n* target languages: en\n* OPUS readme: rw-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.3, chr-F: 0.530\ntestset: URL, BLEU: 49.8, chr-F: 0.643" ]
translation	transformers	### opus-mt-rw-es * source languages: rw * target languages: es * OPUS readme: [rw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rw-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rw.es \| 26.2 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rw-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rw", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rw-es * source languages: rw * target languages: es * OPUS readme: rw-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.2, chr-F: 0.445	[ "### opus-mt-rw-es\n\n\n* source languages: rw\n* target languages: es\n* OPUS readme: rw-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.2, chr-F: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rw-es\n\n\n* source languages: rw\n* target languages: es\n* OPUS readme: rw-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.2, chr-F: 0.445" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rw-es\n\n\n* source languages: rw\n* target languages: es\n* OPUS readme: rw-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.2, chr-F: 0.445" ]
translation	transformers	### opus-mt-rw-fr * source languages: rw * target languages: fr * OPUS readme: [rw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rw.fr \| 26.7 \| 0.443 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rw-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rw", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rw-fr * source languages: rw * target languages: fr * OPUS readme: rw-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.7, chr-F: 0.443	[ "### opus-mt-rw-fr\n\n\n* source languages: rw\n* target languages: fr\n* OPUS readme: rw-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.443" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rw-fr\n\n\n* source languages: rw\n* target languages: fr\n* OPUS readme: rw-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.443" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rw-fr\n\n\n* source languages: rw\n* target languages: fr\n* OPUS readme: rw-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.443" ]
translation	transformers	### opus-mt-rw-sv * source languages: rw * target languages: sv * OPUS readme: [rw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rw-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.rw.sv \| 29.1 \| 0.476 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-rw-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "rw", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #rw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-rw-sv * source languages: rw * target languages: sv * OPUS readme: rw-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.1, chr-F: 0.476	[ "### opus-mt-rw-sv\n\n\n* source languages: rw\n* target languages: sv\n* OPUS readme: rw-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.1, chr-F: 0.476" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-rw-sv\n\n\n* source languages: rw\n* target languages: sv\n* OPUS readme: rw-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.1, chr-F: 0.476" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #rw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-rw-sv\n\n\n* source languages: rw\n* target languages: sv\n* OPUS readme: rw-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.1, chr-F: 0.476" ]
translation	transformers	### sal-eng * source group: Salishan languages * target group: English * OPUS readme: [sal-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sal-eng/README.md) * model: transformer * source language(s): shs_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.zip) * test set translations: [opus-2020-07-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.test.txt) * test set scores: [opus-2020-07-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.multi.eng \| 38.7 \| 0.572 \| \| Tatoeba-test.shs.eng \| 2.2 \| 0.097 \| \| Tatoeba-test.shs-eng.shs.eng \| 2.2 \| 0.097 \| ### System Info: - hf_name: sal-eng - source_languages: sal - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sal-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sal', 'en'] - src_constituents: {'shs_Latn'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.test.txt - src_alpha3: sal - tgt_alpha3: eng - short_pair: sal-en - chrF2_score: 0.09699999999999999 - bleu: 2.2 - brevity_penalty: 0.8190000000000001 - ref_len: 222.0 - src_name: Salishan languages - tgt_name: English - train_date: 2020-07-14 - src_alpha2: sal - tgt_alpha2: en - prefer_old: False - long_pair: sal-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sal", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sal-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sal", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sal", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sal #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### sal-eng * source group: Salishan languages * target group: English * OPUS readme: sal-eng * model: transformer * source language(s): shs\_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 38.7, chr-F: 0.572 testset: URL, BLEU: 2.2, chr-F: 0.097 testset: URL, BLEU: 2.2, chr-F: 0.097 ### System Info: * hf\_name: sal-eng * source\_languages: sal * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sal', 'en'] * src\_constituents: {'shs\_Latn'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: sal * tgt\_alpha3: eng * short\_pair: sal-en * chrF2\_score: 0.09699999999999999 * bleu: 2.2 * brevity\_penalty: 0.8190000000000001 * ref\_len: 222.0 * src\_name: Salishan languages * tgt\_name: English * train\_date: 2020-07-14 * src\_alpha2: sal * tgt\_alpha2: en * prefer\_old: False * long\_pair: sal-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### sal-eng\n\n\n* source group: Salishan languages\n* target group: English\n* OPUS readme: sal-eng\n* model: transformer\n* source language(s): shs\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.7, chr-F: 0.572\ntestset: URL, BLEU: 2.2, chr-F: 0.097\ntestset: URL, BLEU: 2.2, chr-F: 0.097", "### System Info:\n\n\n* hf\\_name: sal-eng\n* source\\_languages: sal\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sal', 'en']\n* src\\_constituents: {'shs\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sal\n* tgt\\_alpha3: eng\n* short\\_pair: sal-en\n* chrF2\\_score: 0.09699999999999999\n* bleu: 2.2\n* brevity\\_penalty: 0.8190000000000001\n* ref\\_len: 222.0\n* src\\_name: Salishan languages\n* tgt\\_name: English\n* train\\_date: 2020-07-14\n* src\\_alpha2: sal\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sal-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sal #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### sal-eng\n\n\n* source group: Salishan languages\n* target group: English\n* OPUS readme: sal-eng\n* model: transformer\n* source language(s): shs\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.7, chr-F: 0.572\ntestset: URL, BLEU: 2.2, chr-F: 0.097\ntestset: URL, BLEU: 2.2, chr-F: 0.097", "### System Info:\n\n\n* hf\\_name: sal-eng\n* source\\_languages: sal\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sal', 'en']\n* src\\_constituents: {'shs\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sal\n* tgt\\_alpha3: eng\n* short\\_pair: sal-en\n* chrF2\\_score: 0.09699999999999999\n* bleu: 2.2\n* brevity\\_penalty: 0.8190000000000001\n* ref\\_len: 222.0\n* src\\_name: Salishan languages\n* tgt\\_name: English\n* train\\_date: 2020-07-14\n* src\\_alpha2: sal\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sal-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 182, 419 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sal #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### sal-eng\n\n\n* source group: Salishan languages\n* target group: English\n* OPUS readme: sal-eng\n* model: transformer\n* source language(s): shs\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.7, chr-F: 0.572\ntestset: URL, BLEU: 2.2, chr-F: 0.097\ntestset: URL, BLEU: 2.2, chr-F: 0.097### System Info:\n\n\n* hf\\_name: sal-eng\n* source\\_languages: sal\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sal', 'en']\n* src\\_constituents: {'shs\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sal\n* tgt\\_alpha3: eng\n* short\\_pair: sal-en\n* chrF2\\_score: 0.09699999999999999\n* bleu: 2.2\n* brevity\\_penalty: 0.8190000000000001\n* ref\\_len: 222.0\n* src\\_name: Salishan languages\n* tgt\\_name: English\n* train\\_date: 2020-07-14\n* src\\_alpha2: sal\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sal-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### sem-eng * source group: Semitic languages * target group: English * OPUS readme: [sem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-eng/README.md) * model: transformer * source language(s): acm afb amh apc ara arq ary arz heb mlt tir * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.amh-eng.amh.eng \| 37.5 \| 0.565 \| \| Tatoeba-test.ara-eng.ara.eng \| 38.9 \| 0.566 \| \| Tatoeba-test.heb-eng.heb.eng \| 44.6 \| 0.610 \| \| Tatoeba-test.mlt-eng.mlt.eng \| 53.7 \| 0.688 \| \| Tatoeba-test.multi.eng \| 41.7 \| 0.588 \| \| Tatoeba-test.tir-eng.tir.eng \| 18.3 \| 0.370 \| ### System Info: - hf_name: sem-eng - source_languages: sem - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en'] - src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.test.txt - src_alpha3: sem - tgt_alpha3: eng - short_pair: sem-en - chrF2_score: 0.588 - bleu: 41.7 - brevity_penalty: 0.987 - ref_len: 72950.0 - src_name: Semitic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: sem - tgt_alpha2: en - prefer_old: False - long_pair: sem-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["mt", "ar", "he", "ti", "am", "sem", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sem-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mt", "ar", "he", "ti", "am", "sem", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "mt", "ar", "he", "ti", "am", "sem", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #mt #ar #he #ti #am #sem #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### sem-eng * source group: Semitic languages * target group: English * OPUS readme: sem-eng * model: transformer * source language(s): acm afb amh apc ara arq ary arz heb mlt tir * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.5, chr-F: 0.565 testset: URL, BLEU: 38.9, chr-F: 0.566 testset: URL, BLEU: 44.6, chr-F: 0.610 testset: URL, BLEU: 53.7, chr-F: 0.688 testset: URL, BLEU: 41.7, chr-F: 0.588 testset: URL, BLEU: 18.3, chr-F: 0.370 ### System Info: * hf\_name: sem-eng * source\_languages: sem * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en'] * src\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: sem * tgt\_alpha3: eng * short\_pair: sem-en * chrF2\_score: 0.588 * bleu: 41.7 * brevity\_penalty: 0.987 * ref\_len: 72950.0 * src\_name: Semitic languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: sem * tgt\_alpha2: en * prefer\_old: False * long\_pair: sem-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### sem-eng\n\n\n* source group: Semitic languages\n* target group: English\n* OPUS readme: sem-eng\n* model: transformer\n* source language(s): acm afb amh apc ara arq ary arz heb mlt tir\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.565\ntestset: URL, BLEU: 38.9, chr-F: 0.566\ntestset: URL, BLEU: 44.6, chr-F: 0.610\ntestset: URL, BLEU: 53.7, chr-F: 0.688\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 18.3, chr-F: 0.370", "### System Info:\n\n\n* hf\\_name: sem-eng\n* source\\_languages: sem\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en']\n* src\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sem\n* tgt\\_alpha3: eng\n* short\\_pair: sem-en\n* chrF2\\_score: 0.588\n* bleu: 41.7\n* brevity\\_penalty: 0.987\n* ref\\_len: 72950.0\n* src\\_name: Semitic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: sem\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sem-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #ar #he #ti #am #sem #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### sem-eng\n\n\n* source group: Semitic languages\n* target group: English\n* OPUS readme: sem-eng\n* model: transformer\n* source language(s): acm afb amh apc ara arq ary arz heb mlt tir\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.565\ntestset: URL, BLEU: 38.9, chr-F: 0.566\ntestset: URL, BLEU: 44.6, chr-F: 0.610\ntestset: URL, BLEU: 53.7, chr-F: 0.688\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 18.3, chr-F: 0.370", "### System Info:\n\n\n* hf\\_name: sem-eng\n* source\\_languages: sem\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en']\n* src\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sem\n* tgt\\_alpha3: eng\n* short\\_pair: sem-en\n* chrF2\\_score: 0.588\n* bleu: 41.7\n* brevity\\_penalty: 0.987\n* ref\\_len: 72950.0\n* src\\_name: Semitic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: sem\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sem-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 62, 262, 469 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #ar #he #ti #am #sem #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### sem-eng\n\n\n* source group: Semitic languages\n* target group: English\n* OPUS readme: sem-eng\n* model: transformer\n* source language(s): acm afb amh apc ara arq ary arz heb mlt tir\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.565\ntestset: URL, BLEU: 38.9, chr-F: 0.566\ntestset: URL, BLEU: 44.6, chr-F: 0.610\ntestset: URL, BLEU: 53.7, chr-F: 0.688\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 18.3, chr-F: 0.370### System Info:\n\n\n* hf\\_name: sem-eng\n* source\\_languages: sem\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en']\n* src\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sem\n* tgt\\_alpha3: eng\n* short\\_pair: sem-en\n* chrF2\\_score: 0.588\n* bleu: 41.7\n* brevity\\_penalty: 0.987\n* ref\\_len: 72950.0\n* src\\_name: Semitic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: sem\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sem-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### sem-sem * source group: Semitic languages * target group: Semitic languages * OPUS readme: [sem-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md) * model: transformer * source language(s): apc ara arq arz heb mlt * target language(s): apc ara arq arz heb mlt * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ara-ara.ara.ara \| 4.2 \| 0.200 \| \| Tatoeba-test.ara-heb.ara.heb \| 34.0 \| 0.542 \| \| Tatoeba-test.ara-mlt.ara.mlt \| 16.6 \| 0.513 \| \| Tatoeba-test.heb-ara.heb.ara \| 18.8 \| 0.477 \| \| Tatoeba-test.mlt-ara.mlt.ara \| 20.7 \| 0.388 \| \| Tatoeba-test.multi.multi \| 27.1 \| 0.507 \| ### System Info: - hf_name: sem-sem - source_languages: sem - target_languages: sem - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem'] - src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} - tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt - src_alpha3: sem - tgt_alpha3: sem - short_pair: sem-sem - chrF2_score: 0.507 - bleu: 27.1 - brevity_penalty: 0.972 - ref_len: 13472.0 - src_name: Semitic languages - tgt_name: Semitic languages - train_date: 2020-07-27 - src_alpha2: sem - tgt_alpha2: sem - prefer_old: False - long_pair: sem-sem - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["mt", "ar", "he", "ti", "am", "sem"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sem-sem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mt", "ar", "he", "ti", "am", "sem", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "mt", "ar", "he", "ti", "am", "sem" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #mt #ar #he #ti #am #sem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### sem-sem * source group: Semitic languages * target group: Semitic languages * OPUS readme: sem-sem * model: transformer * source language(s): apc ara arq arz heb mlt * target language(s): apc ara arq arz heb mlt * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 4.2, chr-F: 0.200 testset: URL, BLEU: 34.0, chr-F: 0.542 testset: URL, BLEU: 16.6, chr-F: 0.513 testset: URL, BLEU: 18.8, chr-F: 0.477 testset: URL, BLEU: 20.7, chr-F: 0.388 testset: URL, BLEU: 27.1, chr-F: 0.507 ### System Info: * hf\_name: sem-sem * source\_languages: sem * target\_languages: sem * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem'] * src\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} * tgt\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: sem * tgt\_alpha3: sem * short\_pair: sem-sem * chrF2\_score: 0.507 * bleu: 27.1 * brevity\_penalty: 0.972 * ref\_len: 13472.0 * src\_name: Semitic languages * tgt\_name: Semitic languages * train\_date: 2020-07-27 * src\_alpha2: sem * tgt\_alpha2: sem * prefer\_old: False * long\_pair: sem-sem * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### sem-sem\n\n\n* source group: Semitic languages\n* target group: Semitic languages\n* OPUS readme: sem-sem\n* model: transformer\n* source language(s): apc ara arq arz heb mlt\n* target language(s): apc ara arq arz heb mlt\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 4.2, chr-F: 0.200\ntestset: URL, BLEU: 34.0, chr-F: 0.542\ntestset: URL, BLEU: 16.6, chr-F: 0.513\ntestset: URL, BLEU: 18.8, chr-F: 0.477\ntestset: URL, BLEU: 20.7, chr-F: 0.388\ntestset: URL, BLEU: 27.1, chr-F: 0.507", "### System Info:\n\n\n* hf\\_name: sem-sem\n* source\\_languages: sem\n* target\\_languages: sem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem']\n* src\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* tgt\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sem\n* tgt\\_alpha3: sem\n* short\\_pair: sem-sem\n* chrF2\\_score: 0.507\n* bleu: 27.1\n* brevity\\_penalty: 0.972\n* ref\\_len: 13472.0\n* src\\_name: Semitic languages\n* tgt\\_name: Semitic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: sem\n* tgt\\_alpha2: sem\n* prefer\\_old: False\n* long\\_pair: sem-sem\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #ar #he #ti #am #sem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### sem-sem\n\n\n* source group: Semitic languages\n* target group: Semitic languages\n* OPUS readme: sem-sem\n* model: transformer\n* source language(s): apc ara arq arz heb mlt\n* target language(s): apc ara arq arz heb mlt\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 4.2, chr-F: 0.200\ntestset: URL, BLEU: 34.0, chr-F: 0.542\ntestset: URL, BLEU: 16.6, chr-F: 0.513\ntestset: URL, BLEU: 18.8, chr-F: 0.477\ntestset: URL, BLEU: 20.7, chr-F: 0.388\ntestset: URL, BLEU: 27.1, chr-F: 0.507", "### System Info:\n\n\n* hf\\_name: sem-sem\n* source\\_languages: sem\n* target\\_languages: sem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem']\n* src\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* tgt\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sem\n* tgt\\_alpha3: sem\n* short\\_pair: sem-sem\n* chrF2\\_score: 0.507\n* bleu: 27.1\n* brevity\\_penalty: 0.972\n* ref\\_len: 13472.0\n* src\\_name: Semitic languages\n* tgt\\_name: Semitic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: sem\n* tgt\\_alpha2: sem\n* prefer\\_old: False\n* long\\_pair: sem-sem\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 60, 294, 521 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #ar #he #ti #am #sem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### sem-sem\n\n\n* source group: Semitic languages\n* target group: Semitic languages\n* OPUS readme: sem-sem\n* model: transformer\n* source language(s): apc ara arq arz heb mlt\n* target language(s): apc ara arq arz heb mlt\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 4.2, chr-F: 0.200\ntestset: URL, BLEU: 34.0, chr-F: 0.542\ntestset: URL, BLEU: 16.6, chr-F: 0.513\ntestset: URL, BLEU: 18.8, chr-F: 0.477\ntestset: URL, BLEU: 20.7, chr-F: 0.388\ntestset: URL, BLEU: 27.1, chr-F: 0.507### System Info:\n\n\n* hf\\_name: sem-sem\n* source\\_languages: sem\n* target\\_languages: sem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem']\n* src\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* tgt\\_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sem\n* tgt\\_alpha3: sem\n* short\\_pair: sem-sem\n* chrF2\\_score: 0.507\n* bleu: 27.1\n* brevity\\_penalty: 0.972\n* ref\\_len: 13472.0\n* src\\_name: Semitic languages\n* tgt\\_name: Semitic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: sem\n* tgt\\_alpha2: sem\n* prefer\\_old: False\n* long\\_pair: sem-sem\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-sg-en * source languages: sg * target languages: en * OPUS readme: [sg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sg.en \| 32.0 \| 0.477 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sg-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sg", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sg-en * source languages: sg * target languages: en * OPUS readme: sg-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.0, chr-F: 0.477	[ "### opus-mt-sg-en\n\n\n* source languages: sg\n* target languages: en\n* OPUS readme: sg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.0, chr-F: 0.477" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sg-en\n\n\n* source languages: sg\n* target languages: en\n* OPUS readme: sg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.0, chr-F: 0.477" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sg-en\n\n\n* source languages: sg\n* target languages: en\n* OPUS readme: sg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.0, chr-F: 0.477" ]
translation	transformers	### opus-mt-sg-es * source languages: sg * target languages: es * OPUS readme: [sg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sg.es \| 21.3 \| 0.385 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sg-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sg", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sg-es * source languages: sg * target languages: es * OPUS readme: sg-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.3, chr-F: 0.385	[ "### opus-mt-sg-es\n\n\n* source languages: sg\n* target languages: es\n* OPUS readme: sg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.3, chr-F: 0.385" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sg-es\n\n\n* source languages: sg\n* target languages: es\n* OPUS readme: sg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.3, chr-F: 0.385" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sg-es\n\n\n* source languages: sg\n* target languages: es\n* OPUS readme: sg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.3, chr-F: 0.385" ]
translation	transformers	### opus-mt-sg-fi * source languages: sg * target languages: fi * OPUS readme: [sg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sg.fi \| 22.7 \| 0.438 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sg-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sg", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sg #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sg-fi * source languages: sg * target languages: fi * OPUS readme: sg-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.7, chr-F: 0.438	[ "### opus-mt-sg-fi\n\n\n* source languages: sg\n* target languages: fi\n* OPUS readme: sg-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.438" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sg-fi\n\n\n* source languages: sg\n* target languages: fi\n* OPUS readme: sg-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.438" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sg-fi\n\n\n* source languages: sg\n* target languages: fi\n* OPUS readme: sg-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.438" ]
translation	transformers	### opus-mt-sg-fr * source languages: sg * target languages: fr * OPUS readme: [sg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sg.fr \| 24.9 \| 0.420 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sg-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sg", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sg-fr * source languages: sg * target languages: fr * OPUS readme: sg-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.9, chr-F: 0.420	[ "### opus-mt-sg-fr\n\n\n* source languages: sg\n* target languages: fr\n* OPUS readme: sg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.420" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sg-fr\n\n\n* source languages: sg\n* target languages: fr\n* OPUS readme: sg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.420" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sg-fr\n\n\n* source languages: sg\n* target languages: fr\n* OPUS readme: sg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.420" ]
translation	transformers	### opus-mt-sg-sv * source languages: sg * target languages: sv * OPUS readme: [sg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sg.sv \| 25.3 \| 0.428 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sg-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sg", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sg-sv * source languages: sg * target languages: sv * OPUS readme: sg-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.3, chr-F: 0.428	[ "### opus-mt-sg-sv\n\n\n* source languages: sg\n* target languages: sv\n* OPUS readme: sg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.428" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sg-sv\n\n\n* source languages: sg\n* target languages: sv\n* OPUS readme: sg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.428" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sg-sv\n\n\n* source languages: sg\n* target languages: sv\n* OPUS readme: sg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.428" ]
translation	transformers	### hbs-epo * source group: Serbo-Croatian * target group: Esperanto * OPUS readme: [hbs-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md) * model: transformer-align * source language(s): bos_Latn hrv srp_Cyrl srp_Latn * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.hbs.epo \| 18.7 \| 0.383 \| ### System Info: - hf_name: hbs-epo - source_languages: hbs - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sh', 'eo'] - src_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.test.txt - src_alpha3: hbs - tgt_alpha3: epo - short_pair: sh-eo - chrF2_score: 0.38299999999999995 - bleu: 18.7 - brevity_penalty: 0.9990000000000001 - ref_len: 18457.0 - src_name: Serbo-Croatian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: sh - tgt_alpha2: eo - prefer_old: False - long_pair: hbs-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sh", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sh-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sh", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sh", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sh #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### hbs-epo * source group: Serbo-Croatian * target group: Esperanto * OPUS readme: hbs-epo * model: transformer-align * source language(s): bos\_Latn hrv srp\_Cyrl srp\_Latn * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 18.7, chr-F: 0.383 ### System Info: * hf\_name: hbs-epo * source\_languages: hbs * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sh', 'eo'] * src\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: hbs * tgt\_alpha3: epo * short\_pair: sh-eo * chrF2\_score: 0.38299999999999995 * bleu: 18.7 * brevity\_penalty: 0.9990000000000001 * ref\_len: 18457.0 * src\_name: Serbo-Croatian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: sh * tgt\_alpha2: eo * prefer\_old: False * long\_pair: hbs-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### hbs-epo\n\n\n* source group: Serbo-Croatian\n* target group: Esperanto\n* OPUS readme: hbs-epo\n* model: transformer-align\n* source language(s): bos\\_Latn hrv srp\\_Cyrl srp\\_Latn\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.7, chr-F: 0.383", "### System Info:\n\n\n* hf\\_name: hbs-epo\n* source\\_languages: hbs\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sh', 'eo']\n* src\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hbs\n* tgt\\_alpha3: epo\n* short\\_pair: sh-eo\n* chrF2\\_score: 0.38299999999999995\n* bleu: 18.7\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 18457.0\n* src\\_name: Serbo-Croatian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: sh\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: hbs-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sh #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### hbs-epo\n\n\n* source group: Serbo-Croatian\n* target group: Esperanto\n* OPUS readme: hbs-epo\n* model: transformer-align\n* source language(s): bos\\_Latn hrv srp\\_Cyrl srp\\_Latn\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.7, chr-F: 0.383", "### System Info:\n\n\n* hf\\_name: hbs-epo\n* source\\_languages: hbs\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sh', 'eo']\n* src\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hbs\n* tgt\\_alpha3: epo\n* short\\_pair: sh-eo\n* chrF2\\_score: 0.38299999999999995\n* bleu: 18.7\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 18457.0\n* src\\_name: Serbo-Croatian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: sh\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: hbs-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 162, 457 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sh #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### hbs-epo\n\n\n* source group: Serbo-Croatian\n* target group: Esperanto\n* OPUS readme: hbs-epo\n* model: transformer-align\n* source language(s): bos\\_Latn hrv srp\\_Cyrl srp\\_Latn\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.7, chr-F: 0.383### System Info:\n\n\n* hf\\_name: hbs-epo\n* source\\_languages: hbs\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sh', 'eo']\n* src\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hbs\n* tgt\\_alpha3: epo\n* short\\_pair: sh-eo\n* chrF2\\_score: 0.38299999999999995\n* bleu: 18.7\n* brevity\\_penalty: 0.9990000000000001\n* ref\\_len: 18457.0\n* src\\_name: Serbo-Croatian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: sh\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: hbs-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### hbs-ukr * source group: Serbo-Croatian * target group: Ukrainian * OPUS readme: [hbs-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-ukr/README.md) * model: transformer-align * source language(s): hrv srp_Cyrl srp_Latn * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.hbs.ukr \| 49.6 \| 0.665 \| ### System Info: - hf_name: hbs-ukr - source_languages: hbs - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sh', 'uk'] - src_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.test.txt - src_alpha3: hbs - tgt_alpha3: ukr - short_pair: sh-uk - chrF2_score: 0.665 - bleu: 49.6 - brevity_penalty: 0.9840000000000001 - ref_len: 4959.0 - src_name: Serbo-Croatian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: sh - tgt_alpha2: uk - prefer_old: False - long_pair: hbs-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sh", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sh-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sh", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sh", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sh #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### hbs-ukr * source group: Serbo-Croatian * target group: Ukrainian * OPUS readme: hbs-ukr * model: transformer-align * source language(s): hrv srp\_Cyrl srp\_Latn * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 49.6, chr-F: 0.665 ### System Info: * hf\_name: hbs-ukr * source\_languages: hbs * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sh', 'uk'] * src\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: hbs * tgt\_alpha3: ukr * short\_pair: sh-uk * chrF2\_score: 0.665 * bleu: 49.6 * brevity\_penalty: 0.9840000000000001 * ref\_len: 4959.0 * src\_name: Serbo-Croatian * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: sh * tgt\_alpha2: uk * prefer\_old: False * long\_pair: hbs-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### hbs-ukr\n\n\n* source group: Serbo-Croatian\n* target group: Ukrainian\n* OPUS readme: hbs-ukr\n* model: transformer-align\n* source language(s): hrv srp\\_Cyrl srp\\_Latn\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.6, chr-F: 0.665", "### System Info:\n\n\n* hf\\_name: hbs-ukr\n* source\\_languages: hbs\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sh', 'uk']\n* src\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hbs\n* tgt\\_alpha3: ukr\n* short\\_pair: sh-uk\n* chrF2\\_score: 0.665\n* bleu: 49.6\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 4959.0\n* src\\_name: Serbo-Croatian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sh\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: hbs-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sh #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### hbs-ukr\n\n\n* source group: Serbo-Croatian\n* target group: Ukrainian\n* OPUS readme: hbs-ukr\n* model: transformer-align\n* source language(s): hrv srp\\_Cyrl srp\\_Latn\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.6, chr-F: 0.665", "### System Info:\n\n\n* hf\\_name: hbs-ukr\n* source\\_languages: hbs\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sh', 'uk']\n* src\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hbs\n* tgt\\_alpha3: ukr\n* short\\_pair: sh-uk\n* chrF2\\_score: 0.665\n* bleu: 49.6\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 4959.0\n* src\\_name: Serbo-Croatian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sh\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: hbs-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 153, 439 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sh #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### hbs-ukr\n\n\n* source group: Serbo-Croatian\n* target group: Ukrainian\n* OPUS readme: hbs-ukr\n* model: transformer-align\n* source language(s): hrv srp\\_Cyrl srp\\_Latn\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.6, chr-F: 0.665### System Info:\n\n\n* hf\\_name: hbs-ukr\n* source\\_languages: hbs\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sh', 'uk']\n* src\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hbs\n* tgt\\_alpha3: ukr\n* short\\_pair: sh-uk\n* chrF2\\_score: 0.665\n* bleu: 49.6\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 4959.0\n* src\\_name: Serbo-Croatian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sh\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: hbs-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-sk-en * source languages: sk * target languages: en * OPUS readme: [sk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sk.en \| 42.2 \| 0.612 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sk-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sk", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sk-en * source languages: sk * target languages: en * OPUS readme: sk-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 42.2, chr-F: 0.612	[ "### opus-mt-sk-en\n\n\n* source languages: sk\n* target languages: en\n* OPUS readme: sk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.2, chr-F: 0.612" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sk-en\n\n\n* source languages: sk\n* target languages: en\n* OPUS readme: sk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.2, chr-F: 0.612" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sk-en\n\n\n* source languages: sk\n* target languages: en\n* OPUS readme: sk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.2, chr-F: 0.612" ]
translation	transformers	### opus-mt-sk-es * source languages: sk * target languages: es * OPUS readme: [sk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sk.es \| 29.6 \| 0.505 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sk-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sk", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sk-es * source languages: sk * target languages: es * OPUS readme: sk-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.6, chr-F: 0.505	[ "### opus-mt-sk-es\n\n\n* source languages: sk\n* target languages: es\n* OPUS readme: sk-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.505" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sk-es\n\n\n* source languages: sk\n* target languages: es\n* OPUS readme: sk-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.505" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sk-es\n\n\n* source languages: sk\n* target languages: es\n* OPUS readme: sk-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.505" ]
translation	transformers	### opus-mt-sk-fi * source languages: sk * target languages: fi * OPUS readme: [sk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sk.fi \| 27.6 \| 0.544 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sk-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sk", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sk-fi * source languages: sk * target languages: fi * OPUS readme: sk-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.6, chr-F: 0.544	[ "### opus-mt-sk-fi\n\n\n* source languages: sk\n* target languages: fi\n* OPUS readme: sk-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.544" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sk-fi\n\n\n* source languages: sk\n* target languages: fi\n* OPUS readme: sk-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.544" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sk-fi\n\n\n* source languages: sk\n* target languages: fi\n* OPUS readme: sk-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.544" ]
translation	transformers	### opus-mt-sk-fr * source languages: sk * target languages: fr * OPUS readme: [sk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sk.fr \| 29.4 \| 0.508 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sk-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sk", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sk-fr * source languages: sk * target languages: fr * OPUS readme: sk-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.4, chr-F: 0.508	[ "### opus-mt-sk-fr\n\n\n* source languages: sk\n* target languages: fr\n* OPUS readme: sk-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.4, chr-F: 0.508" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sk-fr\n\n\n* source languages: sk\n* target languages: fr\n* OPUS readme: sk-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.4, chr-F: 0.508" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sk-fr\n\n\n* source languages: sk\n* target languages: fr\n* OPUS readme: sk-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.4, chr-F: 0.508" ]
translation	transformers	### opus-mt-sk-sv * source languages: sk * target languages: sv * OPUS readme: [sk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sk.sv \| 33.1 \| 0.544 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sk-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sk", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sk-sv * source languages: sk * target languages: sv * OPUS readme: sk-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 33.1, chr-F: 0.544	[ "### opus-mt-sk-sv\n\n\n* source languages: sk\n* target languages: sv\n* OPUS readme: sk-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.544" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sk-sv\n\n\n* source languages: sk\n* target languages: sv\n* OPUS readme: sk-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.544" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sk-sv\n\n\n* source languages: sk\n* target languages: sv\n* OPUS readme: sk-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.544" ]
translation	transformers	### opus-mt-sl-es * source languages: sl * target languages: es * OPUS readme: [sl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-es/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-es/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-es/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sl.es \| 26.3 \| 0.483 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sl-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sl", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sl-es * source languages: sl * target languages: es * OPUS readme: sl-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.3, chr-F: 0.483	[ "### opus-mt-sl-es\n\n\n* source languages: sl\n* target languages: es\n* OPUS readme: sl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.483" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sl-es\n\n\n* source languages: sl\n* target languages: es\n* OPUS readme: sl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.483" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sl-es\n\n\n* source languages: sl\n* target languages: es\n* OPUS readme: sl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.483" ]
translation	transformers	### opus-mt-sl-fi * source languages: sl * target languages: fi * OPUS readme: [sl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sl.fi \| 23.4 \| 0.517 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sl-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sl", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sl-fi * source languages: sl * target languages: fi * OPUS readme: sl-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.4, chr-F: 0.517	[ "### opus-mt-sl-fi\n\n\n* source languages: sl\n* target languages: fi\n* OPUS readme: sl-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.517" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sl-fi\n\n\n* source languages: sl\n* target languages: fi\n* OPUS readme: sl-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.517" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sl-fi\n\n\n* source languages: sl\n* target languages: fi\n* OPUS readme: sl-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.517" ]
translation	transformers	### opus-mt-sl-fr * source languages: sl * target languages: fr * OPUS readme: [sl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sl.fr \| 25.0 \| 0.475 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sl-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sl", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sl-fr * source languages: sl * target languages: fr * OPUS readme: sl-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.475	[ "### opus-mt-sl-fr\n\n\n* source languages: sl\n* target languages: fr\n* OPUS readme: sl-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.475" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sl-fr\n\n\n* source languages: sl\n* target languages: fr\n* OPUS readme: sl-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.475" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sl-fr\n\n\n* source languages: sl\n* target languages: fr\n* OPUS readme: sl-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.475" ]
translation	transformers	### slv-rus * source group: Slovenian * target group: Russian * OPUS readme: [slv-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-rus/README.md) * model: transformer-align * source language(s): slv * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.slv.rus \| 37.3 \| 0.504 \| ### System Info: - hf_name: slv-rus - source_languages: slv - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sl', 'ru'] - src_constituents: {'slv'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.test.txt - src_alpha3: slv - tgt_alpha3: rus - short_pair: sl-ru - chrF2_score: 0.504 - bleu: 37.3 - brevity_penalty: 0.988 - ref_len: 2101.0 - src_name: Slovenian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: sl - tgt_alpha2: ru - prefer_old: False - long_pair: slv-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sl", "ru"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sl-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sl", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sl", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sl #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### slv-rus * source group: Slovenian * target group: Russian * OPUS readme: slv-rus * model: transformer-align * source language(s): slv * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.3, chr-F: 0.504 ### System Info: * hf\_name: slv-rus * source\_languages: slv * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sl', 'ru'] * src\_constituents: {'slv'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: slv * tgt\_alpha3: rus * short\_pair: sl-ru * chrF2\_score: 0.504 * bleu: 37.3 * brevity\_penalty: 0.988 * ref\_len: 2101.0 * src\_name: Slovenian * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: sl * tgt\_alpha2: ru * prefer\_old: False * long\_pair: slv-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### slv-rus\n\n\n* source group: Slovenian\n* target group: Russian\n* OPUS readme: slv-rus\n* model: transformer-align\n* source language(s): slv\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.3, chr-F: 0.504", "### System Info:\n\n\n* hf\\_name: slv-rus\n* source\\_languages: slv\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sl', 'ru']\n* src\\_constituents: {'slv'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: slv\n* tgt\\_alpha3: rus\n* short\\_pair: sl-ru\n* chrF2\\_score: 0.504\n* bleu: 37.3\n* brevity\\_penalty: 0.988\n* ref\\_len: 2101.0\n* src\\_name: Slovenian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sl\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: slv-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### slv-rus\n\n\n* source group: Slovenian\n* target group: Russian\n* OPUS readme: slv-rus\n* model: transformer-align\n* source language(s): slv\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.3, chr-F: 0.504", "### System Info:\n\n\n* hf\\_name: slv-rus\n* source\\_languages: slv\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sl', 'ru']\n* src\\_constituents: {'slv'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: slv\n* tgt\\_alpha3: rus\n* short\\_pair: sl-ru\n* chrF2\\_score: 0.504\n* bleu: 37.3\n* brevity\\_penalty: 0.988\n* ref\\_len: 2101.0\n* src\\_name: Slovenian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sl\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: slv-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### slv-rus\n\n\n* source group: Slovenian\n* target group: Russian\n* OPUS readme: slv-rus\n* model: transformer-align\n* source language(s): slv\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.3, chr-F: 0.504### System Info:\n\n\n* hf\\_name: slv-rus\n* source\\_languages: slv\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sl', 'ru']\n* src\\_constituents: {'slv'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: slv\n* tgt\\_alpha3: rus\n* short\\_pair: sl-ru\n* chrF2\\_score: 0.504\n* bleu: 37.3\n* brevity\\_penalty: 0.988\n* ref\\_len: 2101.0\n* src\\_name: Slovenian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sl\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: slv-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-sl-sv * source languages: sl * target languages: sv * OPUS readme: [sl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sl.sv \| 27.8 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sl-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sl", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sl-sv * source languages: sl * target languages: sv * OPUS readme: sl-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.8, chr-F: 0.509	[ "### opus-mt-sl-sv\n\n\n* source languages: sl\n* target languages: sv\n* OPUS readme: sl-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sl-sv\n\n\n* source languages: sl\n* target languages: sv\n* OPUS readme: sl-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.509" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sl-sv\n\n\n* source languages: sl\n* target languages: sv\n* OPUS readme: sl-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.509" ]
translation	transformers	### slv-ukr * source group: Slovenian * target group: Ukrainian * OPUS readme: [slv-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-ukr/README.md) * model: transformer-align * source language(s): slv * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.slv.ukr \| 10.6 \| 0.236 \| ### System Info: - hf_name: slv-ukr - source_languages: slv - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sl', 'uk'] - src_constituents: {'slv'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.test.txt - src_alpha3: slv - tgt_alpha3: ukr - short_pair: sl-uk - chrF2_score: 0.23600000000000002 - bleu: 10.6 - brevity_penalty: 1.0 - ref_len: 3906.0 - src_name: Slovenian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: sl - tgt_alpha2: uk - prefer_old: False - long_pair: slv-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sl", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sl-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sl", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sl", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### slv-ukr * source group: Slovenian * target group: Ukrainian * OPUS readme: slv-ukr * model: transformer-align * source language(s): slv * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 10.6, chr-F: 0.236 ### System Info: * hf\_name: slv-ukr * source\_languages: slv * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sl', 'uk'] * src\_constituents: {'slv'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: slv * tgt\_alpha3: ukr * short\_pair: sl-uk * chrF2\_score: 0.23600000000000002 * bleu: 10.6 * brevity\_penalty: 1.0 * ref\_len: 3906.0 * src\_name: Slovenian * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: sl * tgt\_alpha2: uk * prefer\_old: False * long\_pair: slv-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### slv-ukr\n\n\n* source group: Slovenian\n* target group: Ukrainian\n* OPUS readme: slv-ukr\n* model: transformer-align\n* source language(s): slv\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 10.6, chr-F: 0.236", "### System Info:\n\n\n* hf\\_name: slv-ukr\n* source\\_languages: slv\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sl', 'uk']\n* src\\_constituents: {'slv'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: slv\n* tgt\\_alpha3: ukr\n* short\\_pair: sl-uk\n* chrF2\\_score: 0.23600000000000002\n* bleu: 10.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3906.0\n* src\\_name: Slovenian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: slv-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### slv-ukr\n\n\n* source group: Slovenian\n* target group: Ukrainian\n* OPUS readme: slv-ukr\n* model: transformer-align\n* source language(s): slv\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 10.6, chr-F: 0.236", "### System Info:\n\n\n* hf\\_name: slv-ukr\n* source\\_languages: slv\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sl', 'uk']\n* src\\_constituents: {'slv'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: slv\n* tgt\\_alpha3: ukr\n* short\\_pair: sl-uk\n* chrF2\\_score: 0.23600000000000002\n* bleu: 10.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3906.0\n* src\\_name: Slovenian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: slv-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 136, 407 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### slv-ukr\n\n\n* source group: Slovenian\n* target group: Ukrainian\n* OPUS readme: slv-ukr\n* model: transformer-align\n* source language(s): slv\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 10.6, chr-F: 0.236### System Info:\n\n\n* hf\\_name: slv-ukr\n* source\\_languages: slv\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sl', 'uk']\n* src\\_constituents: {'slv'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: slv\n* tgt\\_alpha3: ukr\n* short\\_pair: sl-uk\n* chrF2\\_score: 0.23600000000000002\n* bleu: 10.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3906.0\n* src\\_name: Slovenian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: slv-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### sla-eng * source group: Slavic languages * target group: English * OPUS readme: [sla-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md) * model: transformer * source language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-ceseng.ces.eng \| 26.7 \| 0.542 \| \| newstest2009-ceseng.ces.eng \| 25.2 \| 0.534 \| \| newstest2010-ceseng.ces.eng \| 25.9 \| 0.545 \| \| newstest2011-ceseng.ces.eng \| 26.8 \| 0.544 \| \| newstest2012-ceseng.ces.eng \| 25.6 \| 0.536 \| \| newstest2012-ruseng.rus.eng \| 32.5 \| 0.588 \| \| newstest2013-ceseng.ces.eng \| 28.8 \| 0.556 \| \| newstest2013-ruseng.rus.eng \| 26.4 \| 0.532 \| \| newstest2014-csen-ceseng.ces.eng \| 31.4 \| 0.591 \| \| newstest2014-ruen-ruseng.rus.eng \| 29.6 \| 0.576 \| \| newstest2015-encs-ceseng.ces.eng \| 28.2 \| 0.545 \| \| newstest2015-enru-ruseng.rus.eng \| 28.1 \| 0.551 \| \| newstest2016-encs-ceseng.ces.eng \| 30.0 \| 0.567 \| \| newstest2016-enru-ruseng.rus.eng \| 27.4 \| 0.548 \| \| newstest2017-encs-ceseng.ces.eng \| 26.5 \| 0.537 \| \| newstest2017-enru-ruseng.rus.eng \| 31.0 \| 0.574 \| \| newstest2018-encs-ceseng.ces.eng \| 27.9 \| 0.548 \| \| newstest2018-enru-ruseng.rus.eng \| 26.8 \| 0.545 \| \| newstest2019-ruen-ruseng.rus.eng \| 29.1 \| 0.562 \| \| Tatoeba-test.bel-eng.bel.eng \| 42.5 \| 0.609 \| \| Tatoeba-test.bul-eng.bul.eng \| 55.4 \| 0.697 \| \| Tatoeba-test.ces-eng.ces.eng \| 53.1 \| 0.688 \| \| Tatoeba-test.csb-eng.csb.eng \| 23.1 \| 0.446 \| \| Tatoeba-test.dsb-eng.dsb.eng \| 31.1 \| 0.467 \| \| Tatoeba-test.hbs-eng.hbs.eng \| 56.1 \| 0.702 \| \| Tatoeba-test.hsb-eng.hsb.eng \| 46.2 \| 0.597 \| \| Tatoeba-test.mkd-eng.mkd.eng \| 54.5 \| 0.680 \| \| Tatoeba-test.multi.eng \| 53.2 \| 0.683 \| \| Tatoeba-test.orv-eng.orv.eng \| 12.1 \| 0.292 \| \| Tatoeba-test.pol-eng.pol.eng \| 51.1 \| 0.671 \| \| Tatoeba-test.rue-eng.rue.eng \| 19.6 \| 0.389 \| \| Tatoeba-test.rus-eng.rus.eng \| 54.1 \| 0.686 \| \| Tatoeba-test.slv-eng.slv.eng \| 43.4 \| 0.610 \| \| Tatoeba-test.ukr-eng.ukr.eng \| 53.8 \| 0.685 \| ### System Info: - hf_name: sla-eng - source_languages: sla - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en'] - src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt - src_alpha3: sla - tgt_alpha3: eng - short_pair: sla-en - chrF2_score: 0.6829999999999999 - bleu: 53.2 - brevity_penalty: 0.9740000000000001 - ref_len: 70897.0 - src_name: Slavic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: sla - tgt_alpha2: en - prefer_old: False - long_pair: sla-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sla-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #be #hr #mk #cs #ru #pl #bg #uk #sl #sla #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### sla-eng * source group: Slavic languages * target group: English * OPUS readme: sla-eng * model: transformer * source language(s): bel bel\_Latn bos\_Latn bul bul\_Latn ces csb\_Latn dsb hrv hsb mkd orv\_Cyrl pol rue rus slv srp\_Cyrl srp\_Latn ukr * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.7, chr-F: 0.542 testset: URL, BLEU: 25.2, chr-F: 0.534 testset: URL, BLEU: 25.9, chr-F: 0.545 testset: URL, BLEU: 26.8, chr-F: 0.544 testset: URL, BLEU: 25.6, chr-F: 0.536 testset: URL, BLEU: 32.5, chr-F: 0.588 testset: URL, BLEU: 28.8, chr-F: 0.556 testset: URL, BLEU: 26.4, chr-F: 0.532 testset: URL, BLEU: 31.4, chr-F: 0.591 testset: URL, BLEU: 29.6, chr-F: 0.576 testset: URL, BLEU: 28.2, chr-F: 0.545 testset: URL, BLEU: 28.1, chr-F: 0.551 testset: URL, BLEU: 30.0, chr-F: 0.567 testset: URL, BLEU: 27.4, chr-F: 0.548 testset: URL, BLEU: 26.5, chr-F: 0.537 testset: URL, BLEU: 31.0, chr-F: 0.574 testset: URL, BLEU: 27.9, chr-F: 0.548 testset: URL, BLEU: 26.8, chr-F: 0.545 testset: URL, BLEU: 29.1, chr-F: 0.562 testset: URL, BLEU: 42.5, chr-F: 0.609 testset: URL, BLEU: 55.4, chr-F: 0.697 testset: URL, BLEU: 53.1, chr-F: 0.688 testset: URL, BLEU: 23.1, chr-F: 0.446 testset: URL, BLEU: 31.1, chr-F: 0.467 testset: URL, BLEU: 56.1, chr-F: 0.702 testset: URL, BLEU: 46.2, chr-F: 0.597 testset: URL, BLEU: 54.5, chr-F: 0.680 testset: URL, BLEU: 53.2, chr-F: 0.683 testset: URL, BLEU: 12.1, chr-F: 0.292 testset: URL, BLEU: 51.1, chr-F: 0.671 testset: URL, BLEU: 19.6, chr-F: 0.389 testset: URL, BLEU: 54.1, chr-F: 0.686 testset: URL, BLEU: 43.4, chr-F: 0.610 testset: URL, BLEU: 53.8, chr-F: 0.685 ### System Info: * hf\_name: sla-eng * source\_languages: sla * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en'] * src\_constituents: {'bel', 'hrv', 'orv\_Cyrl', 'mkd', 'bel\_Latn', 'srp\_Latn', 'bul\_Latn', 'ces', 'bos\_Latn', 'csb\_Latn', 'dsb', 'hsb', 'rus', 'srp\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: sla * tgt\_alpha3: eng * short\_pair: sla-en * chrF2\_score: 0.6829999999999999 * bleu: 53.2 * brevity\_penalty: 0.9740000000000001 * ref\_len: 70897.0 * src\_name: Slavic languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: sla * tgt\_alpha2: en * prefer\_old: False * long\_pair: sla-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### sla-eng\n\n\n* source group: Slavic languages\n* target group: English\n* OPUS readme: sla-eng\n* model: transformer\n* source language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces csb\\_Latn dsb hrv hsb mkd orv\\_Cyrl pol rue rus slv srp\\_Cyrl srp\\_Latn ukr\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.542\ntestset: URL, BLEU: 25.2, chr-F: 0.534\ntestset: URL, BLEU: 25.9, chr-F: 0.545\ntestset: URL, BLEU: 26.8, chr-F: 0.544\ntestset: URL, BLEU: 25.6, chr-F: 0.536\ntestset: URL, BLEU: 32.5, chr-F: 0.588\ntestset: URL, BLEU: 28.8, chr-F: 0.556\ntestset: URL, BLEU: 26.4, chr-F: 0.532\ntestset: URL, BLEU: 31.4, chr-F: 0.591\ntestset: URL, BLEU: 29.6, chr-F: 0.576\ntestset: URL, BLEU: 28.2, chr-F: 0.545\ntestset: URL, BLEU: 28.1, chr-F: 0.551\ntestset: URL, BLEU: 30.0, chr-F: 0.567\ntestset: URL, BLEU: 27.4, chr-F: 0.548\ntestset: URL, BLEU: 26.5, chr-F: 0.537\ntestset: URL, BLEU: 31.0, chr-F: 0.574\ntestset: URL, BLEU: 27.9, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.545\ntestset: URL, BLEU: 29.1, chr-F: 0.562\ntestset: URL, BLEU: 42.5, chr-F: 0.609\ntestset: URL, BLEU: 55.4, chr-F: 0.697\ntestset: URL, BLEU: 53.1, chr-F: 0.688\ntestset: URL, BLEU: 23.1, chr-F: 0.446\ntestset: URL, BLEU: 31.1, chr-F: 0.467\ntestset: URL, BLEU: 56.1, chr-F: 0.702\ntestset: URL, BLEU: 46.2, chr-F: 0.597\ntestset: URL, BLEU: 54.5, chr-F: 0.680\ntestset: URL, BLEU: 53.2, chr-F: 0.683\ntestset: URL, BLEU: 12.1, chr-F: 0.292\ntestset: URL, BLEU: 51.1, chr-F: 0.671\ntestset: URL, BLEU: 19.6, chr-F: 0.389\ntestset: URL, BLEU: 54.1, chr-F: 0.686\ntestset: URL, BLEU: 43.4, chr-F: 0.610\ntestset: URL, BLEU: 53.8, chr-F: 0.685", "### System Info:\n\n\n* hf\\_name: sla-eng\n* source\\_languages: sla\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']\n* src\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sla\n* tgt\\_alpha3: eng\n* short\\_pair: sla-en\n* chrF2\\_score: 0.6829999999999999\n* bleu: 53.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 70897.0\n* src\\_name: Slavic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: sla\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sla-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #be #hr #mk #cs #ru #pl #bg #uk #sl #sla #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### sla-eng\n\n\n* source group: Slavic languages\n* target group: English\n* OPUS readme: sla-eng\n* model: transformer\n* source language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces csb\\_Latn dsb hrv hsb mkd orv\\_Cyrl pol rue rus slv srp\\_Cyrl srp\\_Latn ukr\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.542\ntestset: URL, BLEU: 25.2, chr-F: 0.534\ntestset: URL, BLEU: 25.9, chr-F: 0.545\ntestset: URL, BLEU: 26.8, chr-F: 0.544\ntestset: URL, BLEU: 25.6, chr-F: 0.536\ntestset: URL, BLEU: 32.5, chr-F: 0.588\ntestset: URL, BLEU: 28.8, chr-F: 0.556\ntestset: URL, BLEU: 26.4, chr-F: 0.532\ntestset: URL, BLEU: 31.4, chr-F: 0.591\ntestset: URL, BLEU: 29.6, chr-F: 0.576\ntestset: URL, BLEU: 28.2, chr-F: 0.545\ntestset: URL, BLEU: 28.1, chr-F: 0.551\ntestset: URL, BLEU: 30.0, chr-F: 0.567\ntestset: URL, BLEU: 27.4, chr-F: 0.548\ntestset: URL, BLEU: 26.5, chr-F: 0.537\ntestset: URL, BLEU: 31.0, chr-F: 0.574\ntestset: URL, BLEU: 27.9, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.545\ntestset: URL, BLEU: 29.1, chr-F: 0.562\ntestset: URL, BLEU: 42.5, chr-F: 0.609\ntestset: URL, BLEU: 55.4, chr-F: 0.697\ntestset: URL, BLEU: 53.1, chr-F: 0.688\ntestset: URL, BLEU: 23.1, chr-F: 0.446\ntestset: URL, BLEU: 31.1, chr-F: 0.467\ntestset: URL, BLEU: 56.1, chr-F: 0.702\ntestset: URL, BLEU: 46.2, chr-F: 0.597\ntestset: URL, BLEU: 54.5, chr-F: 0.680\ntestset: URL, BLEU: 53.2, chr-F: 0.683\ntestset: URL, BLEU: 12.1, chr-F: 0.292\ntestset: URL, BLEU: 51.1, chr-F: 0.671\ntestset: URL, BLEU: 19.6, chr-F: 0.389\ntestset: URL, BLEU: 54.1, chr-F: 0.686\ntestset: URL, BLEU: 43.4, chr-F: 0.610\ntestset: URL, BLEU: 53.8, chr-F: 0.685", "### System Info:\n\n\n* hf\\_name: sla-eng\n* source\\_languages: sla\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']\n* src\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sla\n* tgt\\_alpha3: eng\n* short\\_pair: sla-en\n* chrF2\\_score: 0.6829999999999999\n* bleu: 53.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 70897.0\n* src\\_name: Slavic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: sla\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sla-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 71, 951, 575 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #be #hr #mk #cs #ru #pl #bg #uk #sl #sla #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### sla-eng\n\n\n* source group: Slavic languages\n* target group: English\n* OPUS readme: sla-eng\n* model: transformer\n* source language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces csb\\_Latn dsb hrv hsb mkd orv\\_Cyrl pol rue rus slv srp\\_Cyrl srp\\_Latn ukr\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.542\ntestset: URL, BLEU: 25.2, chr-F: 0.534\ntestset: URL, BLEU: 25.9, chr-F: 0.545\ntestset: URL, BLEU: 26.8, chr-F: 0.544\ntestset: URL, BLEU: 25.6, chr-F: 0.536\ntestset: URL, BLEU: 32.5, chr-F: 0.588\ntestset: URL, BLEU: 28.8, chr-F: 0.556\ntestset: URL, BLEU: 26.4, chr-F: 0.532\ntestset: URL, BLEU: 31.4, chr-F: 0.591\ntestset: URL, BLEU: 29.6, chr-F: 0.576\ntestset: URL, BLEU: 28.2, chr-F: 0.545\ntestset: URL, BLEU: 28.1, chr-F: 0.551\ntestset: URL, BLEU: 30.0, chr-F: 0.567\ntestset: URL, BLEU: 27.4, chr-F: 0.548\ntestset: URL, BLEU: 26.5, chr-F: 0.537\ntestset: URL, BLEU: 31.0, chr-F: 0.574\ntestset: URL, BLEU: 27.9, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.545\ntestset: URL, BLEU: 29.1, chr-F: 0.562\ntestset: URL, BLEU: 42.5, chr-F: 0.609\ntestset: URL, BLEU: 55.4, chr-F: 0.697\ntestset: URL, BLEU: 53.1, chr-F: 0.688\ntestset: URL, BLEU: 23.1, chr-F: 0.446\ntestset: URL, BLEU: 31.1, chr-F: 0.467\ntestset: URL, BLEU: 56.1, chr-F: 0.702\ntestset: URL, BLEU: 46.2, chr-F: 0.597\ntestset: URL, BLEU: 54.5, chr-F: 0.680\ntestset: URL, BLEU: 53.2, chr-F: 0.683\ntestset: URL, BLEU: 12.1, chr-F: 0.292\ntestset: URL, BLEU: 51.1, chr-F: 0.671\ntestset: URL, BLEU: 19.6, chr-F: 0.389\ntestset: URL, BLEU: 54.1, chr-F: 0.686\ntestset: URL, BLEU: 43.4, chr-F: 0.610\ntestset: URL, BLEU: 53.8, chr-F: 0.685### System Info:\n\n\n* hf\\_name: sla-eng\n* source\\_languages: sla\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']\n* src\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sla\n* tgt\\_alpha3: eng\n* short\\_pair: sla-en\n* chrF2\\_score: 0.6829999999999999\n* bleu: 53.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 70897.0\n* src\\_name: Slavic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: sla\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: sla-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### sla-sla * source group: Slavic languages * target group: Slavic languages * OPUS readme: [sla-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md) * model: transformer * source language(s): bel bel_Latn bos_Latn bul bul_Latn ces dsb hrv hsb mkd orv_Cyrl pol rus slv srp_Cyrl srp_Latn ukr * target language(s): bel bel_Latn bos_Latn bul bul_Latn ces dsb hrv hsb mkd orv_Cyrl pol rus slv srp_Cyrl srp_Latn ukr * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2012-cesrus.ces.rus \| 15.9 \| 0.437 \| \| newstest2012-rusces.rus.ces \| 13.6 \| 0.403 \| \| newstest2013-cesrus.ces.rus \| 19.8 \| 0.473 \| \| newstest2013-rusces.rus.ces \| 17.9 \| 0.449 \| \| Tatoeba-test.bel-bul.bel.bul \| 100.0 \| 1.000 \| \| Tatoeba-test.bel-ces.bel.ces \| 33.5 \| 0.630 \| \| Tatoeba-test.bel-hbs.bel.hbs \| 45.4 \| 0.644 \| \| Tatoeba-test.bel-mkd.bel.mkd \| 19.3 \| 0.531 \| \| Tatoeba-test.bel-pol.bel.pol \| 46.9 \| 0.681 \| \| Tatoeba-test.bel-rus.bel.rus \| 58.5 \| 0.767 \| \| Tatoeba-test.bel-ukr.bel.ukr \| 55.1 \| 0.743 \| \| Tatoeba-test.bul-bel.bul.bel \| 10.7 \| 0.423 \| \| Tatoeba-test.bul-ces.bul.ces \| 36.9 \| 0.585 \| \| Tatoeba-test.bul-hbs.bul.hbs \| 53.7 \| 0.807 \| \| Tatoeba-test.bul-mkd.bul.mkd \| 31.9 \| 0.715 \| \| Tatoeba-test.bul-pol.bul.pol \| 38.6 \| 0.607 \| \| Tatoeba-test.bul-rus.bul.rus \| 44.8 \| 0.655 \| \| Tatoeba-test.bul-ukr.bul.ukr \| 49.9 \| 0.691 \| \| Tatoeba-test.ces-bel.ces.bel \| 30.9 \| 0.585 \| \| Tatoeba-test.ces-bul.ces.bul \| 75.8 \| 0.859 \| \| Tatoeba-test.ces-hbs.ces.hbs \| 50.0 \| 0.661 \| \| Tatoeba-test.ces-hsb.ces.hsb \| 7.9 \| 0.246 \| \| Tatoeba-test.ces-mkd.ces.mkd \| 24.6 \| 0.569 \| \| Tatoeba-test.ces-pol.ces.pol \| 44.3 \| 0.652 \| \| Tatoeba-test.ces-rus.ces.rus \| 50.8 \| 0.690 \| \| Tatoeba-test.ces-slv.ces.slv \| 4.9 \| 0.240 \| \| Tatoeba-test.ces-ukr.ces.ukr \| 52.9 \| 0.687 \| \| Tatoeba-test.dsb-pol.dsb.pol \| 16.3 \| 0.367 \| \| Tatoeba-test.dsb-rus.dsb.rus \| 12.7 \| 0.245 \| \| Tatoeba-test.hbs-bel.hbs.bel \| 32.9 \| 0.531 \| \| Tatoeba-test.hbs-bul.hbs.bul \| 100.0 \| 1.000 \| \| Tatoeba-test.hbs-ces.hbs.ces \| 40.3 \| 0.626 \| \| Tatoeba-test.hbs-mkd.hbs.mkd \| 19.3 \| 0.535 \| \| Tatoeba-test.hbs-pol.hbs.pol \| 45.0 \| 0.650 \| \| Tatoeba-test.hbs-rus.hbs.rus \| 53.5 \| 0.709 \| \| Tatoeba-test.hbs-ukr.hbs.ukr \| 50.7 \| 0.684 \| \| Tatoeba-test.hsb-ces.hsb.ces \| 17.9 \| 0.366 \| \| Tatoeba-test.mkd-bel.mkd.bel \| 23.6 \| 0.548 \| \| Tatoeba-test.mkd-bul.mkd.bul \| 54.2 \| 0.833 \| \| Tatoeba-test.mkd-ces.mkd.ces \| 12.1 \| 0.371 \| \| Tatoeba-test.mkd-hbs.mkd.hbs \| 19.3 \| 0.577 \| \| Tatoeba-test.mkd-pol.mkd.pol \| 53.7 \| 0.833 \| \| Tatoeba-test.mkd-rus.mkd.rus \| 34.2 \| 0.745 \| \| Tatoeba-test.mkd-ukr.mkd.ukr \| 42.7 \| 0.708 \| \| Tatoeba-test.multi.multi \| 48.5 \| 0.672 \| \| Tatoeba-test.orv-pol.orv.pol \| 10.1 \| 0.355 \| \| Tatoeba-test.orv-rus.orv.rus \| 10.6 \| 0.275 \| \| Tatoeba-test.orv-ukr.orv.ukr \| 7.5 \| 0.230 \| \| Tatoeba-test.pol-bel.pol.bel \| 29.8 \| 0.533 \| \| Tatoeba-test.pol-bul.pol.bul \| 36.8 \| 0.578 \| \| Tatoeba-test.pol-ces.pol.ces \| 43.6 \| 0.626 \| \| Tatoeba-test.pol-dsb.pol.dsb \| 0.9 \| 0.097 \| \| Tatoeba-test.pol-hbs.pol.hbs \| 42.4 \| 0.644 \| \| Tatoeba-test.pol-mkd.pol.mkd \| 19.3 \| 0.535 \| \| Tatoeba-test.pol-orv.pol.orv \| 0.7 \| 0.109 \| \| Tatoeba-test.pol-rus.pol.rus \| 49.6 \| 0.680 \| \| Tatoeba-test.pol-slv.pol.slv \| 7.3 \| 0.262 \| \| Tatoeba-test.pol-ukr.pol.ukr \| 46.8 \| 0.664 \| \| Tatoeba-test.rus-bel.rus.bel \| 34.4 \| 0.577 \| \| Tatoeba-test.rus-bul.rus.bul \| 45.5 \| 0.657 \| \| Tatoeba-test.rus-ces.rus.ces \| 48.0 \| 0.659 \| \| Tatoeba-test.rus-dsb.rus.dsb \| 10.7 \| 0.029 \| \| Tatoeba-test.rus-hbs.rus.hbs \| 44.6 \| 0.655 \| \| Tatoeba-test.rus-mkd.rus.mkd \| 34.9 \| 0.617 \| \| Tatoeba-test.rus-orv.rus.orv \| 0.1 \| 0.073 \| \| Tatoeba-test.rus-pol.rus.pol \| 45.2 \| 0.659 \| \| Tatoeba-test.rus-slv.rus.slv \| 30.4 \| 0.476 \| \| Tatoeba-test.rus-ukr.rus.ukr \| 57.6 \| 0.751 \| \| Tatoeba-test.slv-ces.slv.ces \| 42.5 \| 0.604 \| \| Tatoeba-test.slv-pol.slv.pol \| 39.6 \| 0.601 \| \| Tatoeba-test.slv-rus.slv.rus \| 47.2 \| 0.638 \| \| Tatoeba-test.slv-ukr.slv.ukr \| 36.4 \| 0.549 \| \| Tatoeba-test.ukr-bel.ukr.bel \| 36.9 \| 0.597 \| \| Tatoeba-test.ukr-bul.ukr.bul \| 56.4 \| 0.733 \| \| Tatoeba-test.ukr-ces.ukr.ces \| 52.1 \| 0.686 \| \| Tatoeba-test.ukr-hbs.ukr.hbs \| 47.1 \| 0.670 \| \| Tatoeba-test.ukr-mkd.ukr.mkd \| 20.8 \| 0.548 \| \| Tatoeba-test.ukr-orv.ukr.orv \| 0.2 \| 0.058 \| \| Tatoeba-test.ukr-pol.ukr.pol \| 50.1 \| 0.695 \| \| Tatoeba-test.ukr-rus.ukr.rus \| 63.9 \| 0.790 \| \| Tatoeba-test.ukr-slv.ukr.slv \| 14.5 \| 0.288 \| ### System Info: - hf_name: sla-sla - source_languages: sla - target_languages: sla - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla'] - src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} - tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.test.txt - src_alpha3: sla - tgt_alpha3: sla - short_pair: sla-sla - chrF2_score: 0.672 - bleu: 48.5 - brevity_penalty: 1.0 - ref_len: 59320.0 - src_name: Slavic languages - tgt_name: Slavic languages - train_date: 2020-07-27 - src_alpha2: sla - tgt_alpha2: sla - prefer_old: False - long_pair: sla-sla - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sla-sla	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #be #hr #mk #cs #ru #pl #bg #uk #sl #sla #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### sla-sla * source group: Slavic languages * target group: Slavic languages * OPUS readme: sla-sla * model: transformer * source language(s): bel bel\_Latn bos\_Latn bul bul\_Latn ces dsb hrv hsb mkd orv\_Cyrl pol rus slv srp\_Cyrl srp\_Latn ukr * target language(s): bel bel\_Latn bos\_Latn bul bul\_Latn ces dsb hrv hsb mkd orv\_Cyrl pol rus slv srp\_Cyrl srp\_Latn ukr * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 15.9, chr-F: 0.437 testset: URL, BLEU: 13.6, chr-F: 0.403 testset: URL, BLEU: 19.8, chr-F: 0.473 testset: URL, BLEU: 17.9, chr-F: 0.449 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 33.5, chr-F: 0.630 testset: URL, BLEU: 45.4, chr-F: 0.644 testset: URL, BLEU: 19.3, chr-F: 0.531 testset: URL, BLEU: 46.9, chr-F: 0.681 testset: URL, BLEU: 58.5, chr-F: 0.767 testset: URL, BLEU: 55.1, chr-F: 0.743 testset: URL, BLEU: 10.7, chr-F: 0.423 testset: URL, BLEU: 36.9, chr-F: 0.585 testset: URL, BLEU: 53.7, chr-F: 0.807 testset: URL, BLEU: 31.9, chr-F: 0.715 testset: URL, BLEU: 38.6, chr-F: 0.607 testset: URL, BLEU: 44.8, chr-F: 0.655 testset: URL, BLEU: 49.9, chr-F: 0.691 testset: URL, BLEU: 30.9, chr-F: 0.585 testset: URL, BLEU: 75.8, chr-F: 0.859 testset: URL, BLEU: 50.0, chr-F: 0.661 testset: URL, BLEU: 7.9, chr-F: 0.246 testset: URL, BLEU: 24.6, chr-F: 0.569 testset: URL, BLEU: 44.3, chr-F: 0.652 testset: URL, BLEU: 50.8, chr-F: 0.690 testset: URL, BLEU: 4.9, chr-F: 0.240 testset: URL, BLEU: 52.9, chr-F: 0.687 testset: URL, BLEU: 16.3, chr-F: 0.367 testset: URL, BLEU: 12.7, chr-F: 0.245 testset: URL, BLEU: 32.9, chr-F: 0.531 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 40.3, chr-F: 0.626 testset: URL, BLEU: 19.3, chr-F: 0.535 testset: URL, BLEU: 45.0, chr-F: 0.650 testset: URL, BLEU: 53.5, chr-F: 0.709 testset: URL, BLEU: 50.7, chr-F: 0.684 testset: URL, BLEU: 17.9, chr-F: 0.366 testset: URL, BLEU: 23.6, chr-F: 0.548 testset: URL, BLEU: 54.2, chr-F: 0.833 testset: URL, BLEU: 12.1, chr-F: 0.371 testset: URL, BLEU: 19.3, chr-F: 0.577 testset: URL, BLEU: 53.7, chr-F: 0.833 testset: URL, BLEU: 34.2, chr-F: 0.745 testset: URL, BLEU: 42.7, chr-F: 0.708 testset: URL, BLEU: 48.5, chr-F: 0.672 testset: URL, BLEU: 10.1, chr-F: 0.355 testset: URL, BLEU: 10.6, chr-F: 0.275 testset: URL, BLEU: 7.5, chr-F: 0.230 testset: URL, BLEU: 29.8, chr-F: 0.533 testset: URL, BLEU: 36.8, chr-F: 0.578 testset: URL, BLEU: 43.6, chr-F: 0.626 testset: URL, BLEU: 0.9, chr-F: 0.097 testset: URL, BLEU: 42.4, chr-F: 0.644 testset: URL, BLEU: 19.3, chr-F: 0.535 testset: URL, BLEU: 0.7, chr-F: 0.109 testset: URL, BLEU: 49.6, chr-F: 0.680 testset: URL, BLEU: 7.3, chr-F: 0.262 testset: URL, BLEU: 46.8, chr-F: 0.664 testset: URL, BLEU: 34.4, chr-F: 0.577 testset: URL, BLEU: 45.5, chr-F: 0.657 testset: URL, BLEU: 48.0, chr-F: 0.659 testset: URL, BLEU: 10.7, chr-F: 0.029 testset: URL, BLEU: 44.6, chr-F: 0.655 testset: URL, BLEU: 34.9, chr-F: 0.617 testset: URL, BLEU: 0.1, chr-F: 0.073 testset: URL, BLEU: 45.2, chr-F: 0.659 testset: URL, BLEU: 30.4, chr-F: 0.476 testset: URL, BLEU: 57.6, chr-F: 0.751 testset: URL, BLEU: 42.5, chr-F: 0.604 testset: URL, BLEU: 39.6, chr-F: 0.601 testset: URL, BLEU: 47.2, chr-F: 0.638 testset: URL, BLEU: 36.4, chr-F: 0.549 testset: URL, BLEU: 36.9, chr-F: 0.597 testset: URL, BLEU: 56.4, chr-F: 0.733 testset: URL, BLEU: 52.1, chr-F: 0.686 testset: URL, BLEU: 47.1, chr-F: 0.670 testset: URL, BLEU: 20.8, chr-F: 0.548 testset: URL, BLEU: 0.2, chr-F: 0.058 testset: URL, BLEU: 50.1, chr-F: 0.695 testset: URL, BLEU: 63.9, chr-F: 0.790 testset: URL, BLEU: 14.5, chr-F: 0.288 ### System Info: * hf\_name: sla-sla * source\_languages: sla * target\_languages: sla * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla'] * src\_constituents: {'bel', 'hrv', 'orv\_Cyrl', 'mkd', 'bel\_Latn', 'srp\_Latn', 'bul\_Latn', 'ces', 'bos\_Latn', 'csb\_Latn', 'dsb', 'hsb', 'rus', 'srp\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} * tgt\_constituents: {'bel', 'hrv', 'orv\_Cyrl', 'mkd', 'bel\_Latn', 'srp\_Latn', 'bul\_Latn', 'ces', 'bos\_Latn', 'csb\_Latn', 'dsb', 'hsb', 'rus', 'srp\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: sla * tgt\_alpha3: sla * short\_pair: sla-sla * chrF2\_score: 0.672 * bleu: 48.5 * brevity\_penalty: 1.0 * ref\_len: 59320.0 * src\_name: Slavic languages * tgt\_name: Slavic languages * train\_date: 2020-07-27 * src\_alpha2: sla * tgt\_alpha2: sla * prefer\_old: False * long\_pair: sla-sla * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### sla-sla\n\n\n* source group: Slavic languages\n* target group: Slavic languages\n* OPUS readme: sla-sla\n* model: transformer\n* source language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces dsb hrv hsb mkd orv\\_Cyrl pol rus slv srp\\_Cyrl srp\\_Latn ukr\n* target language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces dsb hrv hsb mkd orv\\_Cyrl pol rus slv srp\\_Cyrl srp\\_Latn ukr\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 15.9, chr-F: 0.437\ntestset: URL, BLEU: 13.6, chr-F: 0.403\ntestset: URL, BLEU: 19.8, chr-F: 0.473\ntestset: URL, BLEU: 17.9, chr-F: 0.449\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 33.5, chr-F: 0.630\ntestset: URL, BLEU: 45.4, chr-F: 0.644\ntestset: URL, BLEU: 19.3, chr-F: 0.531\ntestset: URL, BLEU: 46.9, chr-F: 0.681\ntestset: URL, BLEU: 58.5, chr-F: 0.767\ntestset: URL, BLEU: 55.1, chr-F: 0.743\ntestset: URL, BLEU: 10.7, chr-F: 0.423\ntestset: URL, BLEU: 36.9, chr-F: 0.585\ntestset: URL, BLEU: 53.7, chr-F: 0.807\ntestset: URL, BLEU: 31.9, chr-F: 0.715\ntestset: URL, BLEU: 38.6, chr-F: 0.607\ntestset: URL, BLEU: 44.8, chr-F: 0.655\ntestset: URL, BLEU: 49.9, chr-F: 0.691\ntestset: URL, BLEU: 30.9, chr-F: 0.585\ntestset: URL, BLEU: 75.8, chr-F: 0.859\ntestset: URL, BLEU: 50.0, chr-F: 0.661\ntestset: URL, BLEU: 7.9, chr-F: 0.246\ntestset: URL, BLEU: 24.6, chr-F: 0.569\ntestset: URL, BLEU: 44.3, chr-F: 0.652\ntestset: URL, BLEU: 50.8, chr-F: 0.690\ntestset: URL, BLEU: 4.9, chr-F: 0.240\ntestset: URL, BLEU: 52.9, chr-F: 0.687\ntestset: URL, BLEU: 16.3, chr-F: 0.367\ntestset: URL, BLEU: 12.7, chr-F: 0.245\ntestset: URL, BLEU: 32.9, chr-F: 0.531\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 40.3, chr-F: 0.626\ntestset: URL, BLEU: 19.3, chr-F: 0.535\ntestset: URL, BLEU: 45.0, chr-F: 0.650\ntestset: URL, BLEU: 53.5, chr-F: 0.709\ntestset: URL, BLEU: 50.7, chr-F: 0.684\ntestset: URL, BLEU: 17.9, chr-F: 0.366\ntestset: URL, BLEU: 23.6, chr-F: 0.548\ntestset: URL, BLEU: 54.2, chr-F: 0.833\ntestset: URL, BLEU: 12.1, chr-F: 0.371\ntestset: URL, BLEU: 19.3, chr-F: 0.577\ntestset: URL, BLEU: 53.7, chr-F: 0.833\ntestset: URL, BLEU: 34.2, chr-F: 0.745\ntestset: URL, BLEU: 42.7, chr-F: 0.708\ntestset: URL, BLEU: 48.5, chr-F: 0.672\ntestset: URL, BLEU: 10.1, chr-F: 0.355\ntestset: URL, BLEU: 10.6, chr-F: 0.275\ntestset: URL, BLEU: 7.5, chr-F: 0.230\ntestset: URL, BLEU: 29.8, chr-F: 0.533\ntestset: URL, BLEU: 36.8, chr-F: 0.578\ntestset: URL, BLEU: 43.6, chr-F: 0.626\ntestset: URL, BLEU: 0.9, chr-F: 0.097\ntestset: URL, BLEU: 42.4, chr-F: 0.644\ntestset: URL, BLEU: 19.3, chr-F: 0.535\ntestset: URL, BLEU: 0.7, chr-F: 0.109\ntestset: URL, BLEU: 49.6, chr-F: 0.680\ntestset: URL, BLEU: 7.3, chr-F: 0.262\ntestset: URL, BLEU: 46.8, chr-F: 0.664\ntestset: URL, BLEU: 34.4, chr-F: 0.577\ntestset: URL, BLEU: 45.5, chr-F: 0.657\ntestset: URL, BLEU: 48.0, chr-F: 0.659\ntestset: URL, BLEU: 10.7, chr-F: 0.029\ntestset: URL, BLEU: 44.6, chr-F: 0.655\ntestset: URL, BLEU: 34.9, chr-F: 0.617\ntestset: URL, BLEU: 0.1, chr-F: 0.073\ntestset: URL, BLEU: 45.2, chr-F: 0.659\ntestset: URL, BLEU: 30.4, chr-F: 0.476\ntestset: URL, BLEU: 57.6, chr-F: 0.751\ntestset: URL, BLEU: 42.5, chr-F: 0.604\ntestset: URL, BLEU: 39.6, chr-F: 0.601\ntestset: URL, BLEU: 47.2, chr-F: 0.638\ntestset: URL, BLEU: 36.4, chr-F: 0.549\ntestset: URL, BLEU: 36.9, chr-F: 0.597\ntestset: URL, BLEU: 56.4, chr-F: 0.733\ntestset: URL, BLEU: 52.1, chr-F: 0.686\ntestset: URL, BLEU: 47.1, chr-F: 0.670\ntestset: URL, BLEU: 20.8, chr-F: 0.548\ntestset: URL, BLEU: 0.2, chr-F: 0.058\ntestset: URL, BLEU: 50.1, chr-F: 0.695\ntestset: URL, BLEU: 63.9, chr-F: 0.790\ntestset: URL, BLEU: 14.5, chr-F: 0.288", "### System Info:\n\n\n* hf\\_name: sla-sla\n* source\\_languages: sla\n* target\\_languages: sla\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']\n* src\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* tgt\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sla\n* tgt\\_alpha3: sla\n* short\\_pair: sla-sla\n* chrF2\\_score: 0.672\n* bleu: 48.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 59320.0\n* src\\_name: Slavic languages\n* tgt\\_name: Slavic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: sla\n* tgt\\_alpha2: sla\n* prefer\\_old: False\n* long\\_pair: sla-sla\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #be #hr #mk #cs #ru #pl #bg #uk #sl #sla #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### sla-sla\n\n\n* source group: Slavic languages\n* target group: Slavic languages\n* OPUS readme: sla-sla\n* model: transformer\n* source language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces dsb hrv hsb mkd orv\\_Cyrl pol rus slv srp\\_Cyrl srp\\_Latn ukr\n* target language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces dsb hrv hsb mkd orv\\_Cyrl pol rus slv srp\\_Cyrl srp\\_Latn ukr\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 15.9, chr-F: 0.437\ntestset: URL, BLEU: 13.6, chr-F: 0.403\ntestset: URL, BLEU: 19.8, chr-F: 0.473\ntestset: URL, BLEU: 17.9, chr-F: 0.449\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 33.5, chr-F: 0.630\ntestset: URL, BLEU: 45.4, chr-F: 0.644\ntestset: URL, BLEU: 19.3, chr-F: 0.531\ntestset: URL, BLEU: 46.9, chr-F: 0.681\ntestset: URL, BLEU: 58.5, chr-F: 0.767\ntestset: URL, BLEU: 55.1, chr-F: 0.743\ntestset: URL, BLEU: 10.7, chr-F: 0.423\ntestset: URL, BLEU: 36.9, chr-F: 0.585\ntestset: URL, BLEU: 53.7, chr-F: 0.807\ntestset: URL, BLEU: 31.9, chr-F: 0.715\ntestset: URL, BLEU: 38.6, chr-F: 0.607\ntestset: URL, BLEU: 44.8, chr-F: 0.655\ntestset: URL, BLEU: 49.9, chr-F: 0.691\ntestset: URL, BLEU: 30.9, chr-F: 0.585\ntestset: URL, BLEU: 75.8, chr-F: 0.859\ntestset: URL, BLEU: 50.0, chr-F: 0.661\ntestset: URL, BLEU: 7.9, chr-F: 0.246\ntestset: URL, BLEU: 24.6, chr-F: 0.569\ntestset: URL, BLEU: 44.3, chr-F: 0.652\ntestset: URL, BLEU: 50.8, chr-F: 0.690\ntestset: URL, BLEU: 4.9, chr-F: 0.240\ntestset: URL, BLEU: 52.9, chr-F: 0.687\ntestset: URL, BLEU: 16.3, chr-F: 0.367\ntestset: URL, BLEU: 12.7, chr-F: 0.245\ntestset: URL, BLEU: 32.9, chr-F: 0.531\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 40.3, chr-F: 0.626\ntestset: URL, BLEU: 19.3, chr-F: 0.535\ntestset: URL, BLEU: 45.0, chr-F: 0.650\ntestset: URL, BLEU: 53.5, chr-F: 0.709\ntestset: URL, BLEU: 50.7, chr-F: 0.684\ntestset: URL, BLEU: 17.9, chr-F: 0.366\ntestset: URL, BLEU: 23.6, chr-F: 0.548\ntestset: URL, BLEU: 54.2, chr-F: 0.833\ntestset: URL, BLEU: 12.1, chr-F: 0.371\ntestset: URL, BLEU: 19.3, chr-F: 0.577\ntestset: URL, BLEU: 53.7, chr-F: 0.833\ntestset: URL, BLEU: 34.2, chr-F: 0.745\ntestset: URL, BLEU: 42.7, chr-F: 0.708\ntestset: URL, BLEU: 48.5, chr-F: 0.672\ntestset: URL, BLEU: 10.1, chr-F: 0.355\ntestset: URL, BLEU: 10.6, chr-F: 0.275\ntestset: URL, BLEU: 7.5, chr-F: 0.230\ntestset: URL, BLEU: 29.8, chr-F: 0.533\ntestset: URL, BLEU: 36.8, chr-F: 0.578\ntestset: URL, BLEU: 43.6, chr-F: 0.626\ntestset: URL, BLEU: 0.9, chr-F: 0.097\ntestset: URL, BLEU: 42.4, chr-F: 0.644\ntestset: URL, BLEU: 19.3, chr-F: 0.535\ntestset: URL, BLEU: 0.7, chr-F: 0.109\ntestset: URL, BLEU: 49.6, chr-F: 0.680\ntestset: URL, BLEU: 7.3, chr-F: 0.262\ntestset: URL, BLEU: 46.8, chr-F: 0.664\ntestset: URL, BLEU: 34.4, chr-F: 0.577\ntestset: URL, BLEU: 45.5, chr-F: 0.657\ntestset: URL, BLEU: 48.0, chr-F: 0.659\ntestset: URL, BLEU: 10.7, chr-F: 0.029\ntestset: URL, BLEU: 44.6, chr-F: 0.655\ntestset: URL, BLEU: 34.9, chr-F: 0.617\ntestset: URL, BLEU: 0.1, chr-F: 0.073\ntestset: URL, BLEU: 45.2, chr-F: 0.659\ntestset: URL, BLEU: 30.4, chr-F: 0.476\ntestset: URL, BLEU: 57.6, chr-F: 0.751\ntestset: URL, BLEU: 42.5, chr-F: 0.604\ntestset: URL, BLEU: 39.6, chr-F: 0.601\ntestset: URL, BLEU: 47.2, chr-F: 0.638\ntestset: URL, BLEU: 36.4, chr-F: 0.549\ntestset: URL, BLEU: 36.9, chr-F: 0.597\ntestset: URL, BLEU: 56.4, chr-F: 0.733\ntestset: URL, BLEU: 52.1, chr-F: 0.686\ntestset: URL, BLEU: 47.1, chr-F: 0.670\ntestset: URL, BLEU: 20.8, chr-F: 0.548\ntestset: URL, BLEU: 0.2, chr-F: 0.058\ntestset: URL, BLEU: 50.1, chr-F: 0.695\ntestset: URL, BLEU: 63.9, chr-F: 0.790\ntestset: URL, BLEU: 14.5, chr-F: 0.288", "### System Info:\n\n\n* hf\\_name: sla-sla\n* source\\_languages: sla\n* target\\_languages: sla\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']\n* src\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* tgt\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sla\n* tgt\\_alpha3: sla\n* short\\_pair: sla-sla\n* chrF2\\_score: 0.672\n* bleu: 48.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 59320.0\n* src\\_name: Slavic languages\n* tgt\\_name: Slavic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: sla\n* tgt\\_alpha2: sla\n* prefer\\_old: False\n* long\\_pair: sla-sla\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 69, 2097, 677 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #be #hr #mk #cs #ru #pl #bg #uk #sl #sla #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### sla-sla\n\n\n* source group: Slavic languages\n* target group: Slavic languages\n* OPUS readme: sla-sla\n* model: transformer\n* source language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces dsb hrv hsb mkd orv\\_Cyrl pol rus slv srp\\_Cyrl srp\\_Latn ukr\n* target language(s): bel bel\\_Latn bos\\_Latn bul bul\\_Latn ces dsb hrv hsb mkd orv\\_Cyrl pol rus slv srp\\_Cyrl srp\\_Latn ukr\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 15.9, chr-F: 0.437\ntestset: URL, BLEU: 13.6, chr-F: 0.403\ntestset: URL, BLEU: 19.8, chr-F: 0.473\ntestset: URL, BLEU: 17.9, chr-F: 0.449\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 33.5, chr-F: 0.630\ntestset: URL, BLEU: 45.4, chr-F: 0.644\ntestset: URL, BLEU: 19.3, chr-F: 0.531\ntestset: URL, BLEU: 46.9, chr-F: 0.681\ntestset: URL, BLEU: 58.5, chr-F: 0.767\ntestset: URL, BLEU: 55.1, chr-F: 0.743\ntestset: URL, BLEU: 10.7, chr-F: 0.423\ntestset: URL, BLEU: 36.9, chr-F: 0.585\ntestset: URL, BLEU: 53.7, chr-F: 0.807\ntestset: URL, BLEU: 31.9, chr-F: 0.715\ntestset: URL, BLEU: 38.6, chr-F: 0.607\ntestset: URL, BLEU: 44.8, chr-F: 0.655\ntestset: URL, BLEU: 49.9, chr-F: 0.691\ntestset: URL, BLEU: 30.9, chr-F: 0.585\ntestset: URL, BLEU: 75.8, chr-F: 0.859\ntestset: URL, BLEU: 50.0, chr-F: 0.661\ntestset: URL, BLEU: 7.9, chr-F: 0.246\ntestset: URL, BLEU: 24.6, chr-F: 0.569\ntestset: URL, BLEU: 44.3, chr-F: 0.652\ntestset: URL, BLEU: 50.8, chr-F: 0.690\ntestset: URL, BLEU: 4.9, chr-F: 0.240\ntestset: URL, BLEU: 52.9, chr-F: 0.687\ntestset: URL, BLEU: 16.3, chr-F: 0.367\ntestset: URL, BLEU: 12.7, chr-F: 0.245\ntestset: URL, BLEU: 32.9, chr-F: 0.531\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 40.3, chr-F: 0.626\ntestset: URL, BLEU: 19.3, chr-F: 0.535\ntestset: URL, BLEU: 45.0, chr-F: 0.650\ntestset: URL, BLEU: 53.5, chr-F: 0.709\ntestset: URL, BLEU: 50.7, chr-F: 0.684\ntestset: URL, BLEU: 17.9, chr-F: 0.366\ntestset: URL, BLEU: 23.6, chr-F: 0.548\ntestset: URL, BLEU: 54.2, chr-F: 0.833\ntestset: URL, BLEU: 12.1, chr-F: 0.371\ntestset: URL, BLEU: 19.3, chr-F: 0.577\ntestset: URL, BLEU: 53.7, chr-F: 0.833\ntestset: URL, BLEU: 34.2, chr-F: 0.745\ntestset: URL, BLEU: 42.7, chr-F: 0.708\ntestset: URL, BLEU: 48.5, chr-F: 0.672\ntestset: URL, BLEU: 10.1, chr-F: 0.355\ntestset: URL, BLEU: 10.6, chr-F: 0.275\ntestset: URL, BLEU: 7.5, chr-F: 0.230\ntestset: URL, BLEU: 29.8, chr-F: 0.533\ntestset: URL, BLEU: 36.8, chr-F: 0.578\ntestset: URL, BLEU: 43.6, chr-F: 0.626\ntestset: URL, BLEU: 0.9, chr-F: 0.097\ntestset: URL, BLEU: 42.4, chr-F: 0.644\ntestset: URL, BLEU: 19.3, chr-F: 0.535\ntestset: URL, BLEU: 0.7, chr-F: 0.109\ntestset: URL, BLEU: 49.6, chr-F: 0.680\ntestset: URL, BLEU: 7.3, chr-F: 0.262\ntestset: URL, BLEU: 46.8, chr-F: 0.664\ntestset: URL, BLEU: 34.4, chr-F: 0.577\ntestset: URL, BLEU: 45.5, chr-F: 0.657\ntestset: URL, BLEU: 48.0, chr-F: 0.659\ntestset: URL, BLEU: 10.7, chr-F: 0.029\ntestset: URL, BLEU: 44.6, chr-F: 0.655\ntestset: URL, BLEU: 34.9, chr-F: 0.617\ntestset: URL, BLEU: 0.1, chr-F: 0.073\ntestset: URL, BLEU: 45.2, chr-F: 0.659\ntestset: URL, BLEU: 30.4, chr-F: 0.476\ntestset: URL, BLEU: 57.6, chr-F: 0.751\ntestset: URL, BLEU: 42.5, chr-F: 0.604\ntestset: URL, BLEU: 39.6, chr-F: 0.601\ntestset: URL, BLEU: 47.2, chr-F: 0.638\ntestset: URL, BLEU: 36.4, chr-F: 0.549\ntestset: URL, BLEU: 36.9, chr-F: 0.597\ntestset: URL, BLEU: 56.4, chr-F: 0.733\ntestset: URL, BLEU: 52.1, chr-F: 0.686\ntestset: URL, BLEU: 47.1, chr-F: 0.670\ntestset: URL, BLEU: 20.8, chr-F: 0.548\ntestset: URL, BLEU: 0.2, chr-F: 0.058\ntestset: URL, BLEU: 50.1, chr-F: 0.695\ntestset: URL, BLEU: 63.9, chr-F: 0.790\ntestset: URL, BLEU: 14.5, chr-F: 0.288### System Info:\n\n\n* hf\\_name: sla-sla\n* source\\_languages: sla\n* target\\_languages: sla\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']\n* src\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* tgt\\_constituents: {'bel', 'hrv', 'orv\\_Cyrl', 'mkd', 'bel\\_Latn', 'srp\\_Latn', 'bul\\_Latn', 'ces', 'bos\\_Latn', 'csb\\_Latn', 'dsb', 'hsb', 'rus', 'srp\\_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: sla\n* tgt\\_alpha3: sla\n* short\\_pair: sla-sla\n* chrF2\\_score: 0.672\n* bleu: 48.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 59320.0\n* src\\_name: Slavic languages\n* tgt\\_name: Slavic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: sla\n* tgt\\_alpha2: sla\n* prefer\\_old: False\n* long\\_pair: sla-sla\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-sm-en * source languages: sm * target languages: en * OPUS readme: [sm-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sm-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sm.en \| 36.1 \| 0.520 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sm-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sm", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sm #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sm-en * source languages: sm * target languages: en * OPUS readme: sm-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.1, chr-F: 0.520	[ "### opus-mt-sm-en\n\n\n* source languages: sm\n* target languages: en\n* OPUS readme: sm-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.520" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sm #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sm-en\n\n\n* source languages: sm\n* target languages: en\n* OPUS readme: sm-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.520" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sm #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sm-en\n\n\n* source languages: sm\n* target languages: en\n* OPUS readme: sm-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.520" ]
translation	transformers	### opus-mt-sm-es * source languages: sm * target languages: es * OPUS readme: [sm-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sm.es \| 21.3 \| 0.390 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sm-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sm", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sm #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sm-es * source languages: sm * target languages: es * OPUS readme: sm-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.3, chr-F: 0.390	[ "### opus-mt-sm-es\n\n\n* source languages: sm\n* target languages: es\n* OPUS readme: sm-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.3, chr-F: 0.390" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sm #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sm-es\n\n\n* source languages: sm\n* target languages: es\n* OPUS readme: sm-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.3, chr-F: 0.390" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sm #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sm-es\n\n\n* source languages: sm\n* target languages: es\n* OPUS readme: sm-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.3, chr-F: 0.390" ]
translation	transformers	### opus-mt-sm-fr * source languages: sm * target languages: fr * OPUS readme: [sm-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sm.fr \| 24.6 \| 0.419 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sm-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sm", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sm #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sm-fr * source languages: sm * target languages: fr * OPUS readme: sm-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.6, chr-F: 0.419	[ "### opus-mt-sm-fr\n\n\n* source languages: sm\n* target languages: fr\n* OPUS readme: sm-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.419" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sm #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sm-fr\n\n\n* source languages: sm\n* target languages: fr\n* OPUS readme: sm-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.419" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sm #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sm-fr\n\n\n* source languages: sm\n* target languages: fr\n* OPUS readme: sm-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.419" ]
translation	transformers	### opus-mt-sn-en * source languages: sn * target languages: en * OPUS readme: [sn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sn-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sn.en \| 51.8 \| 0.648 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sn-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sn", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sn-en * source languages: sn * target languages: en * OPUS readme: sn-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 51.8, chr-F: 0.648	[ "### opus-mt-sn-en\n\n\n* source languages: sn\n* target languages: en\n* OPUS readme: sn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.8, chr-F: 0.648" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sn-en\n\n\n* source languages: sn\n* target languages: en\n* OPUS readme: sn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.8, chr-F: 0.648" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sn-en\n\n\n* source languages: sn\n* target languages: en\n* OPUS readme: sn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.8, chr-F: 0.648" ]
translation	transformers	### opus-mt-sn-es * source languages: sn * target languages: es * OPUS readme: [sn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sn-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sn.es \| 32.5 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sn-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sn", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sn-es * source languages: sn * target languages: es * OPUS readme: sn-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.5, chr-F: 0.509	[ "### opus-mt-sn-es\n\n\n* source languages: sn\n* target languages: es\n* OPUS readme: sn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.5, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sn-es\n\n\n* source languages: sn\n* target languages: es\n* OPUS readme: sn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.5, chr-F: 0.509" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sn-es\n\n\n* source languages: sn\n* target languages: es\n* OPUS readme: sn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.5, chr-F: 0.509" ]
translation	transformers	### opus-mt-sn-fr * source languages: sn * target languages: fr * OPUS readme: [sn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sn-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sn.fr \| 30.8 \| 0.491 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sn-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sn", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sn-fr * source languages: sn * target languages: fr * OPUS readme: sn-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.8, chr-F: 0.491	[ "### opus-mt-sn-fr\n\n\n* source languages: sn\n* target languages: fr\n* OPUS readme: sn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.8, chr-F: 0.491" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sn-fr\n\n\n* source languages: sn\n* target languages: fr\n* OPUS readme: sn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.8, chr-F: 0.491" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sn-fr\n\n\n* source languages: sn\n* target languages: fr\n* OPUS readme: sn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.8, chr-F: 0.491" ]
translation	transformers	### opus-mt-sn-sv * source languages: sn * target languages: sv * OPUS readme: [sn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sn-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sn.sv \| 35.6 \| 0.536 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sn-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sn", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sn-sv * source languages: sn * target languages: sv * OPUS readme: sn-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.6, chr-F: 0.536	[ "### opus-mt-sn-sv\n\n\n* source languages: sn\n* target languages: sv\n* OPUS readme: sn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.6, chr-F: 0.536" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sn-sv\n\n\n* source languages: sn\n* target languages: sv\n* OPUS readme: sn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.6, chr-F: 0.536" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sn-sv\n\n\n* source languages: sn\n* target languages: sv\n* OPUS readme: sn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.6, chr-F: 0.536" ]
translation	transformers	### opus-mt-sq-en * source languages: sq * target languages: en * OPUS readme: [sq-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sq-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sq.en \| 58.4 \| 0.732 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sq-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sq", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sq-en * source languages: sq * target languages: en * OPUS readme: sq-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 58.4, chr-F: 0.732	[ "### opus-mt-sq-en\n\n\n* source languages: sq\n* target languages: en\n* OPUS readme: sq-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.732" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sq-en\n\n\n* source languages: sq\n* target languages: en\n* OPUS readme: sq-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.732" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sq-en\n\n\n* source languages: sq\n* target languages: en\n* OPUS readme: sq-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.732" ]
translation	transformers	### opus-mt-sq-es * source languages: sq * target languages: es * OPUS readme: [sq-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.sq.es \| 23.9 \| 0.510 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sq-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sq", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sq #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sq-es * source languages: sq * target languages: es * OPUS readme: sq-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.9, chr-F: 0.510	[ "### opus-mt-sq-es\n\n\n* source languages: sq\n* target languages: es\n* OPUS readme: sq-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.510" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sq #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sq-es\n\n\n* source languages: sq\n* target languages: es\n* OPUS readme: sq-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.510" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sq #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sq-es\n\n\n* source languages: sq\n* target languages: es\n* OPUS readme: sq-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.510" ]
translation	transformers	### opus-mt-sq-sv * source languages: sq * target languages: sv * OPUS readme: [sq-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sq.sv \| 36.2 \| 0.559 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sq-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sq", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sq #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sq-sv * source languages: sq * target languages: sv * OPUS readme: sq-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.2, chr-F: 0.559	[ "### opus-mt-sq-sv\n\n\n* source languages: sq\n* target languages: sv\n* OPUS readme: sq-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.2, chr-F: 0.559" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sq #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sq-sv\n\n\n* source languages: sq\n* target languages: sv\n* OPUS readme: sq-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.2, chr-F: 0.559" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sq #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sq-sv\n\n\n* source languages: sq\n* target languages: sv\n* OPUS readme: sq-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.2, chr-F: 0.559" ]
translation	transformers	### opus-mt-srn-en * source languages: srn * target languages: en * OPUS readme: [srn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/srn-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-en/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.srn.en \| 40.3 \| 0.555 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-srn-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "srn", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #srn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-srn-en * source languages: srn * target languages: en * OPUS readme: srn-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.3, chr-F: 0.555	[ "### opus-mt-srn-en\n\n\n* source languages: srn\n* target languages: en\n* OPUS readme: srn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.3, chr-F: 0.555" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-srn-en\n\n\n* source languages: srn\n* target languages: en\n* OPUS readme: srn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.3, chr-F: 0.555" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-srn-en\n\n\n* source languages: srn\n* target languages: en\n* OPUS readme: srn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.3, chr-F: 0.555" ]
translation	transformers	### opus-mt-srn-es * source languages: srn * target languages: es * OPUS readme: [srn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/srn-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.srn.es \| 30.4 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-srn-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "srn", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #srn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-srn-es * source languages: srn * target languages: es * OPUS readme: srn-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.4, chr-F: 0.481	[ "### opus-mt-srn-es\n\n\n* source languages: srn\n* target languages: es\n* OPUS readme: srn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-srn-es\n\n\n* source languages: srn\n* target languages: es\n* OPUS readme: srn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.481" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-srn-es\n\n\n* source languages: srn\n* target languages: es\n* OPUS readme: srn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.481" ]
translation	transformers	### opus-mt-srn-fr * source languages: srn * target languages: fr * OPUS readme: [srn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.srn.fr \| 28.9 \| 0.462 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-srn-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "srn", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #srn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-srn-fr * source languages: srn * target languages: fr * OPUS readme: srn-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.9, chr-F: 0.462	[ "### opus-mt-srn-fr\n\n\n* source languages: srn\n* target languages: fr\n* OPUS readme: srn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.462" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-srn-fr\n\n\n* source languages: srn\n* target languages: fr\n* OPUS readme: srn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.462" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-srn-fr\n\n\n* source languages: srn\n* target languages: fr\n* OPUS readme: srn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.462" ]
translation	transformers	### opus-mt-srn-sv * source languages: srn * target languages: sv * OPUS readme: [srn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.srn.sv \| 32.2 \| 0.500 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-srn-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "srn", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #srn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-srn-sv * source languages: srn * target languages: sv * OPUS readme: srn-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.2, chr-F: 0.500	[ "### opus-mt-srn-sv\n\n\n* source languages: srn\n* target languages: sv\n* OPUS readme: srn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.2, chr-F: 0.500" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-srn-sv\n\n\n* source languages: srn\n* target languages: sv\n* OPUS readme: srn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.2, chr-F: 0.500" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #srn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-srn-sv\n\n\n* source languages: srn\n* target languages: sv\n* OPUS readme: srn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.2, chr-F: 0.500" ]
translation	transformers	### opus-mt-ss-en * source languages: ss * target languages: en * OPUS readme: [ss-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ss-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ss-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ss-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ss-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ss.en \| 30.9 \| 0.478 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ss-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ss", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ss #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ss-en * source languages: ss * target languages: en * OPUS readme: ss-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.9, chr-F: 0.478	[ "### opus-mt-ss-en\n\n\n* source languages: ss\n* target languages: en\n* OPUS readme: ss-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.9, chr-F: 0.478" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ss #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ss-en\n\n\n* source languages: ss\n* target languages: en\n* OPUS readme: ss-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.9, chr-F: 0.478" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ss #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ss-en\n\n\n* source languages: ss\n* target languages: en\n* OPUS readme: ss-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.9, chr-F: 0.478" ]
translation	transformers	### opus-mt-ssp-es * source languages: ssp * target languages: es * OPUS readme: [ssp-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ssp-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ssp-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ssp-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ssp-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ssp.es \| 89.7 \| 0.930 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ssp-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ssp", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ssp #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ssp-es * source languages: ssp * target languages: es * OPUS readme: ssp-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 89.7, chr-F: 0.930	[ "### opus-mt-ssp-es\n\n\n* source languages: ssp\n* target languages: es\n* OPUS readme: ssp-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 89.7, chr-F: 0.930" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ssp #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ssp-es\n\n\n* source languages: ssp\n* target languages: es\n* OPUS readme: ssp-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 89.7, chr-F: 0.930" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ssp #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ssp-es\n\n\n* source languages: ssp\n* target languages: es\n* OPUS readme: ssp-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 89.7, chr-F: 0.930" ]
translation	transformers	### opus-mt-st-en * source languages: st * target languages: en * OPUS readme: [st-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.en \| 45.7 \| 0.609 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-st-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-en * source languages: st * target languages: en * OPUS readme: st-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.7, chr-F: 0.609	[ "### opus-mt-st-en\n\n\n* source languages: st\n* target languages: en\n* OPUS readme: st-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.609" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-en\n\n\n* source languages: st\n* target languages: en\n* OPUS readme: st-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.609" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-en\n\n\n* source languages: st\n* target languages: en\n* OPUS readme: st-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.609" ]
translation	transformers	### opus-mt-st-es * source languages: st * target languages: es * OPUS readme: [st-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.es \| 31.3 \| 0.499 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-st-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-es * source languages: st * target languages: es * OPUS readme: st-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.3, chr-F: 0.499	[ "### opus-mt-st-es\n\n\n* source languages: st\n* target languages: es\n* OPUS readme: st-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.499" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-es\n\n\n* source languages: st\n* target languages: es\n* OPUS readme: st-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.499" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-es\n\n\n* source languages: st\n* target languages: es\n* OPUS readme: st-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.499" ]
translation	transformers	### opus-mt-st-fi * source languages: st * target languages: fi * OPUS readme: [st-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.fi \| 28.8 \| 0.520 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-st-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-fi * source languages: st * target languages: fi * OPUS readme: st-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.8, chr-F: 0.520	[ "### opus-mt-st-fi\n\n\n* source languages: st\n* target languages: fi\n* OPUS readme: st-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.520" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-fi\n\n\n* source languages: st\n* target languages: fi\n* OPUS readme: st-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.520" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-fi\n\n\n* source languages: st\n* target languages: fi\n* OPUS readme: st-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.520" ]
translation	transformers	### opus-mt-st-fr * source languages: st * target languages: fr * OPUS readme: [st-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.fr \| 30.7 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-st-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-fr * source languages: st * target languages: fr * OPUS readme: st-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.7, chr-F: 0.490	[ "### opus-mt-st-fr\n\n\n* source languages: st\n* target languages: fr\n* OPUS readme: st-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-fr\n\n\n* source languages: st\n* target languages: fr\n* OPUS readme: st-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.490" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-fr\n\n\n* source languages: st\n* target languages: fr\n* OPUS readme: st-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.490" ]
translation	transformers	### opus-mt-st-sv * source languages: st * target languages: sv * OPUS readme: [st-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.sv \| 33.5 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-st-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-sv * source languages: st * target languages: sv * OPUS readme: st-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 33.5, chr-F: 0.523	[ "### opus-mt-st-sv\n\n\n* source languages: st\n* target languages: sv\n* OPUS readme: st-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.5, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-sv\n\n\n* source languages: st\n* target languages: sv\n* OPUS readme: st-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.5, chr-F: 0.523" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-sv\n\n\n* source languages: st\n* target languages: sv\n* OPUS readme: st-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.5, chr-F: 0.523" ]
translation	transformers	### opus-mt-sv-NORWAY * source languages: sv * target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no * OPUS readme: [sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.no \| 39.3 \| 0.590 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-NORWAY	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-NORWAY * source languages: sv * target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no * OPUS readme: sv-nb\_NO+nb+nn\_NO+nn+nog+no\_nb+no * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 39.3, chr-F: 0.590	[ "### opus-mt-sv-NORWAY\n\n\n* source languages: sv\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: sv-nb\\_NO+nb+nn\\_NO+nn+nog+no\\_nb+no\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.3, chr-F: 0.590" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-NORWAY\n\n\n* source languages: sv\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: sv-nb\\_NO+nb+nn\\_NO+nn+nog+no\\_nb+no\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.3, chr-F: 0.590" ]	[ 51, 186 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-NORWAY\n\n\n* source languages: sv\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: sv-nb\\_NO+nb+nn\\_NO+nn+nog+no\\_nb+no\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.3, chr-F: 0.590" ]
translation	transformers	### opus-mt-sv-ZH * source languages: sv * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.sv.zh \| 24.2 \| 0.342 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ZH	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "zh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ZH * source languages: sv * target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh * OPUS readme: sv-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.2, chr-F: 0.342	[ "### opus-mt-sv-ZH\n\n\n* source languages: sv\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: sv-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.342" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ZH\n\n\n* source languages: sv\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: sv-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.342" ]	[ 52, 250 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ZH\n\n\n* source languages: sv\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: sv-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.342" ]
translation	transformers	### opus-mt-sv-af * source languages: sv * target languages: af * OPUS readme: [sv-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.af \| 44.4 \| 0.623 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-af	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-af * source languages: sv * target languages: af * OPUS readme: sv-af * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 44.4, chr-F: 0.623	[ "### opus-mt-sv-af\n\n\n* source languages: sv\n* target languages: af\n* OPUS readme: sv-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.623" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-af\n\n\n* source languages: sv\n* target languages: af\n* OPUS readme: sv-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.623" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-af\n\n\n* source languages: sv\n* target languages: af\n* OPUS readme: sv-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.623" ]
translation	transformers	### opus-mt-sv-ase * source languages: sv * target languages: ase * OPUS readme: [sv-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ase/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ase \| 40.5 \| 0.572 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ase	null	[ "transformers", "pytorch", "marian", "text2text-generation", "translation", "sv", "ase", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #marian #text2text-generation #translation #sv #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ase * source languages: sv * target languages: ase * OPUS readme: sv-ase * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.5, chr-F: 0.572	[ "### opus-mt-sv-ase\n\n\n* source languages: sv\n* target languages: ase\n* OPUS readme: sv-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.572" ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #sv #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ase\n\n\n* source languages: sv\n* target languages: ase\n* OPUS readme: sv-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.572" ]	[ 49, 109 ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #sv #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ase\n\n\n* source languages: sv\n* target languages: ase\n* OPUS readme: sv-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.572" ]

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