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ftopal
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huggingface-models-processed

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translation	transformers	### opus-mt-es-bzs * source languages: es * target languages: bzs * OPUS readme: [es-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bzs/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/es-bzs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.bzs \| 26.4 \| 0.451 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-bzs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "bzs", "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 #es #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-bzs * source languages: es * target languages: bzs * OPUS readme: es-bzs * 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: 0.451	[ "### opus-mt-es-bzs\n\n\n* source languages: es\n* target languages: bzs\n* OPUS readme: es-bzs\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: 0.451" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-bzs\n\n\n* source languages: es\n* target languages: bzs\n* OPUS readme: es-bzs\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: 0.451" ]	[ 53, 111 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-bzs\n\n\n* source languages: es\n* target languages: bzs\n* OPUS readme: es-bzs\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: 0.451" ]
translation	transformers	### spa-cat * source group: Spanish * target group: Catalan * OPUS readme: [spa-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md) * model: transformer-align * source language(s): spa * target language(s): cat * 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/spa-cat/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.cat \| 68.9 \| 0.832 \| ### System Info: - hf_name: spa-cat - source_languages: spa - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'ca'] - src_constituents: {'spa'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: cat - short_pair: es-ca - chrF2_score: 0.8320000000000001 - bleu: 68.9 - brevity_penalty: 1.0 - ref_len: 12343.0 - src_name: Spanish - tgt_name: Catalan - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: ca - prefer_old: False - long_pair: spa-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "ca"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ca	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-cat * source group: Spanish * target group: Catalan * OPUS readme: spa-cat * model: transformer-align * source language(s): spa * target language(s): cat * 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: 68.9, chr-F: 0.832 ### System Info: * hf\_name: spa-cat * source\_languages: spa * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'ca'] * src\_constituents: {'spa'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: cat * short\_pair: es-ca * chrF2\_score: 0.8320000000000001 * bleu: 68.9 * brevity\_penalty: 1.0 * ref\_len: 12343.0 * src\_name: Spanish * tgt\_name: Catalan * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: ca * prefer\_old: False * long\_pair: spa-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-cat\n\n\n* source group: Spanish\n* target group: Catalan\n* OPUS readme: spa-cat\n* model: transformer-align\n* source language(s): spa\n* target language(s): cat\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: 68.9, chr-F: 0.832", "### System Info:\n\n\n* hf\\_name: spa-cat\n* source\\_languages: spa\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'ca']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'cat'}\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: spa\n* tgt\\_alpha3: cat\n* short\\_pair: es-ca\n* chrF2\\_score: 0.8320000000000001\n* bleu: 68.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 12343.0\n* src\\_name: Spanish\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: spa-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 #es #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-cat\n\n\n* source group: Spanish\n* target group: Catalan\n* OPUS readme: spa-cat\n* model: transformer-align\n* source language(s): spa\n* target language(s): cat\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: 68.9, chr-F: 0.832", "### System Info:\n\n\n* hf\\_name: spa-cat\n* source\\_languages: spa\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'ca']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'cat'}\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: spa\n* tgt\\_alpha3: cat\n* short\\_pair: es-ca\n* chrF2\\_score: 0.8320000000000001\n* bleu: 68.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 12343.0\n* src\\_name: Spanish\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: spa-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, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-cat\n\n\n* source group: Spanish\n* target group: Catalan\n* OPUS readme: spa-cat\n* model: transformer-align\n* source language(s): spa\n* target language(s): cat\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: 68.9, chr-F: 0.832### System Info:\n\n\n* hf\\_name: spa-cat\n* source\\_languages: spa\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'ca']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'cat'}\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: spa\n* tgt\\_alpha3: cat\n* short\\_pair: es-ca\n* chrF2\\_score: 0.8320000000000001\n* bleu: 68.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 12343.0\n* src\\_name: Spanish\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: spa-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	### opus-mt-es-ceb * source languages: es * target languages: ceb * OPUS readme: [es-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ceb/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/es-ceb/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ceb \| 33.9 \| 0.564 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ceb	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ceb", "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 #es #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ceb * source languages: es * target languages: ceb * OPUS readme: es-ceb * 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: 33.9, chr-F: 0.564	[ "### opus-mt-es-ceb\n\n\n* source languages: es\n* target languages: ceb\n* OPUS readme: es-ceb\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: 33.9, chr-F: 0.564" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ceb\n\n\n* source languages: es\n* target languages: ceb\n* OPUS readme: es-ceb\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: 33.9, chr-F: 0.564" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ceb\n\n\n* source languages: es\n* target languages: ceb\n* OPUS readme: es-ceb\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: 33.9, chr-F: 0.564" ]
translation	transformers	### opus-mt-es-crs * source languages: es * target languages: crs * OPUS readme: [es-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-crs/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/es-crs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.crs \| 26.4 \| 0.453 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-crs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "crs", "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 #es #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-crs * source languages: es * target languages: crs * OPUS readme: es-crs * 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: 0.453	[ "### opus-mt-es-crs\n\n\n* source languages: es\n* target languages: crs\n* OPUS readme: es-crs\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: 0.453" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-crs\n\n\n* source languages: es\n* target languages: crs\n* OPUS readme: es-crs\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: 0.453" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-crs\n\n\n* source languages: es\n* target languages: crs\n* OPUS readme: es-crs\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: 0.453" ]
translation	transformers	### opus-mt-es-cs * source languages: es * target languages: cs * OPUS readme: [es-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-cs/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/es-cs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.cs \| 46.4 \| 0.655 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-cs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "cs", "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 #es #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-cs * source languages: es * target languages: cs * OPUS readme: es-cs * 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: 46.4, chr-F: 0.655	[ "### opus-mt-es-cs\n\n\n* source languages: es\n* target languages: cs\n* OPUS readme: es-cs\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: 46.4, chr-F: 0.655" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-cs\n\n\n* source languages: es\n* target languages: cs\n* OPUS readme: es-cs\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: 46.4, chr-F: 0.655" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-cs\n\n\n* source languages: es\n* target languages: cs\n* OPUS readme: es-cs\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: 46.4, chr-F: 0.655" ]
translation	transformers	### opus-mt-es-csg * source languages: es * target languages: csg * OPUS readme: [es-csg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csg/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/es-csg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.csg \| 91.2 \| 0.937 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-csg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "csg", "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 #es #csg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-csg * source languages: es * target languages: csg * OPUS readme: es-csg * 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: 91.2, chr-F: 0.937	[ "### opus-mt-es-csg\n\n\n* source languages: es\n* target languages: csg\n* OPUS readme: es-csg\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: 91.2, chr-F: 0.937" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #csg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-csg\n\n\n* source languages: es\n* target languages: csg\n* OPUS readme: es-csg\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: 91.2, chr-F: 0.937" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #csg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-csg\n\n\n* source languages: es\n* target languages: csg\n* OPUS readme: es-csg\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: 91.2, chr-F: 0.937" ]
translation	transformers	### opus-mt-es-csn * source languages: es * target languages: csn * OPUS readme: [es-csn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csn/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/es-csn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.csn \| 87.8 \| 0.901 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-csn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "csn", "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 #es #csn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-csn * source languages: es * target languages: csn * OPUS readme: es-csn * 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: 87.8, chr-F: 0.901	[ "### opus-mt-es-csn\n\n\n* source languages: es\n* target languages: csn\n* OPUS readme: es-csn\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: 87.8, chr-F: 0.901" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #csn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-csn\n\n\n* source languages: es\n* target languages: csn\n* OPUS readme: es-csn\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: 87.8, chr-F: 0.901" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #csn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-csn\n\n\n* source languages: es\n* target languages: csn\n* OPUS readme: es-csn\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: 87.8, chr-F: 0.901" ]
translation	transformers	### opus-mt-es-da * source languages: es * target languages: da * OPUS readme: [es-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-da/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/es-da/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.da \| 55.7 \| 0.712 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-da	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "da", "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 #es #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-da * source languages: es * target languages: da * OPUS readme: es-da * 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: 55.7, chr-F: 0.712	[ "### opus-mt-es-da\n\n\n* source languages: es\n* target languages: da\n* OPUS readme: es-da\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: 55.7, chr-F: 0.712" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-da\n\n\n* source languages: es\n* target languages: da\n* OPUS readme: es-da\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: 55.7, chr-F: 0.712" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-da\n\n\n* source languages: es\n* target languages: da\n* OPUS readme: es-da\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: 55.7, chr-F: 0.712" ]
translation	transformers	### opus-mt-es-de * source languages: es * target languages: de * OPUS readme: [es-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-de/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/es-de/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.de \| 50.0 \| 0.683 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "de", "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 #es #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-de * source languages: es * target languages: de * OPUS readme: es-de * 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: 50.0, chr-F: 0.683	[ "### opus-mt-es-de\n\n\n* source languages: es\n* target languages: de\n* OPUS readme: es-de\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: 50.0, chr-F: 0.683" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-de\n\n\n* source languages: es\n* target languages: de\n* OPUS readme: es-de\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: 50.0, chr-F: 0.683" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-de\n\n\n* source languages: es\n* target languages: de\n* OPUS readme: es-de\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: 50.0, chr-F: 0.683" ]
translation	transformers	### opus-mt-es-ee * source languages: es * target languages: ee * OPUS readme: [es-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ee/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/es-ee/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ee \| 25.6 \| 0.470 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ee	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ee", "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 #es #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ee * source languages: es * target languages: ee * OPUS readme: es-ee * 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: 25.6, chr-F: 0.470	[ "### opus-mt-es-ee\n\n\n* source languages: es\n* target languages: ee\n* OPUS readme: es-ee\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: 25.6, chr-F: 0.470" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ee\n\n\n* source languages: es\n* target languages: ee\n* OPUS readme: es-ee\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: 25.6, chr-F: 0.470" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ee\n\n\n* source languages: es\n* target languages: ee\n* OPUS readme: es-ee\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: 25.6, chr-F: 0.470" ]
translation	transformers	### opus-mt-es-efi * source languages: es * target languages: efi * OPUS readme: [es-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-efi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.efi \| 24.6 \| 0.452 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-efi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "efi", "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 #es #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-efi * source languages: es * target languages: efi * OPUS readme: es-efi * 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: 0.452	[ "### opus-mt-es-efi\n\n\n* source languages: es\n* target languages: efi\n* OPUS readme: es-efi\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: 0.452" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-efi\n\n\n* source languages: es\n* target languages: efi\n* OPUS readme: es-efi\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: 0.452" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-efi\n\n\n* source languages: es\n* target languages: efi\n* OPUS readme: es-efi\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: 0.452" ]
translation	transformers	### opus-mt-es-el * source languages: es * target languages: el * OPUS readme: [es-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.el \| 48.6 \| 0.661 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-el	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "el", "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 #es #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-el * source languages: es * target languages: el * OPUS readme: es-el * 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: 48.6, chr-F: 0.661	[ "### opus-mt-es-el\n\n\n* source languages: es\n* target languages: el\n* OPUS readme: es-el\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: 48.6, chr-F: 0.661" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-el\n\n\n* source languages: es\n* target languages: el\n* OPUS readme: es-el\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: 48.6, chr-F: 0.661" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-el\n\n\n* source languages: es\n* target languages: el\n* OPUS readme: es-el\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: 48.6, chr-F: 0.661" ]
translation	transformers	### spa-eng * source group: Spanish * target group: English * OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md) * model: transformer * source language(s): spa * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip) * test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt) * test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-spaeng.spa.eng \| 30.6 \| 0.570 \| \| news-test2008-spaeng.spa.eng \| 27.9 \| 0.553 \| \| newstest2009-spaeng.spa.eng \| 30.4 \| 0.572 \| \| newstest2010-spaeng.spa.eng \| 36.1 \| 0.614 \| \| newstest2011-spaeng.spa.eng \| 34.2 \| 0.599 \| \| newstest2012-spaeng.spa.eng \| 37.9 \| 0.624 \| \| newstest2013-spaeng.spa.eng \| 35.3 \| 0.609 \| \| Tatoeba-test.spa.eng \| 59.6 \| 0.739 \| ### System Info: - hf_name: spa-eng - source_languages: spa - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'en'] - src_constituents: {'spa'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt - src_alpha3: spa - tgt_alpha3: eng - short_pair: es-en - chrF2_score: 0.7390000000000001 - bleu: 59.6 - brevity_penalty: 0.9740000000000001 - ref_len: 79376.0 - src_name: Spanish - tgt_name: English - train_date: 2020-08-18 00:00:00 - src_alpha2: es - tgt_alpha2: en - prefer_old: False - long_pair: spa-eng - helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82 - transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9 - port_machine: brutasse - port_time: 2020-08-24-18:20	{"language": ["es", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-eng * source group: Spanish * target group: English * OPUS readme: spa-eng * model: transformer * source language(s): spa * 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: 30.6, chr-F: 0.570 testset: URL, BLEU: 27.9, chr-F: 0.553 testset: URL, BLEU: 30.4, chr-F: 0.572 testset: URL, BLEU: 36.1, chr-F: 0.614 testset: URL, BLEU: 34.2, chr-F: 0.599 testset: URL, BLEU: 37.9, chr-F: 0.624 testset: URL, BLEU: 35.3, chr-F: 0.609 testset: URL, BLEU: 59.6, chr-F: 0.739 ### System Info: * hf\_name: spa-eng * source\_languages: spa * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'en'] * src\_constituents: {'spa'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: eng * short\_pair: es-en * chrF2\_score: 0.7390000000000001 * bleu: 59.6 * brevity\_penalty: 0.9740000000000001 * ref\_len: 79376.0 * src\_name: Spanish * tgt\_name: English * train\_date: 2020-08-18 00:00:00 * src\_alpha2: es * tgt\_alpha2: en * prefer\_old: False * long\_pair: spa-eng * helsinki\_git\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82 * transformers\_git\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9 * port\_machine: brutasse * port\_time: 2020-08-24-18:20	[ "### spa-eng\n\n\n* source group: Spanish\n* target group: English\n* OPUS readme: spa-eng\n* model: transformer\n* source language(s): spa\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: 30.6, chr-F: 0.570\ntestset: URL, BLEU: 27.9, chr-F: 0.553\ntestset: URL, BLEU: 30.4, chr-F: 0.572\ntestset: URL, BLEU: 36.1, chr-F: 0.614\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 37.9, chr-F: 0.624\ntestset: URL, BLEU: 35.3, chr-F: 0.609\ntestset: URL, BLEU: 59.6, chr-F: 0.739", "### System Info:\n\n\n* hf\\_name: spa-eng\n* source\\_languages: spa\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'en']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'eng'}\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: spa\n* tgt\\_alpha3: eng\n* short\\_pair: es-en\n* chrF2\\_score: 0.7390000000000001\n* bleu: 59.6\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 79376.0\n* src\\_name: Spanish\n* tgt\\_name: English\n* train\\_date: 2020-08-18 00:00:00\n* src\\_alpha2: es\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: spa-eng\n* helsinki\\_git\\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82\n* transformers\\_git\\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9\n* port\\_machine: brutasse\n* port\\_time: 2020-08-24-18:20" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-eng\n\n\n* source group: Spanish\n* target group: English\n* OPUS readme: spa-eng\n* model: transformer\n* source language(s): spa\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: 30.6, chr-F: 0.570\ntestset: URL, BLEU: 27.9, chr-F: 0.553\ntestset: URL, BLEU: 30.4, chr-F: 0.572\ntestset: URL, BLEU: 36.1, chr-F: 0.614\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 37.9, chr-F: 0.624\ntestset: URL, BLEU: 35.3, chr-F: 0.609\ntestset: URL, BLEU: 59.6, chr-F: 0.739", "### System Info:\n\n\n* hf\\_name: spa-eng\n* source\\_languages: spa\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'en']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'eng'}\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: spa\n* tgt\\_alpha3: eng\n* short\\_pair: es-en\n* chrF2\\_score: 0.7390000000000001\n* bleu: 59.6\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 79376.0\n* src\\_name: Spanish\n* tgt\\_name: English\n* train\\_date: 2020-08-18 00:00:00\n* src\\_alpha2: es\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: spa-eng\n* helsinki\\_git\\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82\n* transformers\\_git\\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9\n* port\\_machine: brutasse\n* port\\_time: 2020-08-24-18:20" ]	[ 51, 287, 415 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-eng\n\n\n* source group: Spanish\n* target group: English\n* OPUS readme: spa-eng\n* model: transformer\n* source language(s): spa\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: 30.6, chr-F: 0.570\ntestset: URL, BLEU: 27.9, chr-F: 0.553\ntestset: URL, BLEU: 30.4, chr-F: 0.572\ntestset: URL, BLEU: 36.1, chr-F: 0.614\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 37.9, chr-F: 0.624\ntestset: URL, BLEU: 35.3, chr-F: 0.609\ntestset: URL, BLEU: 59.6, chr-F: 0.739### System Info:\n\n\n* hf\\_name: spa-eng\n* source\\_languages: spa\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'en']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'eng'}\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: spa\n* tgt\\_alpha3: eng\n* short\\_pair: es-en\n* chrF2\\_score: 0.7390000000000001\n* bleu: 59.6\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 79376.0\n* src\\_name: Spanish\n* tgt\\_name: English\n* train\\_date: 2020-08-18 00:00:00\n* src\\_alpha2: es\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: spa-eng\n* helsinki\\_git\\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82\n* transformers\\_git\\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9\n* port\\_machine: brutasse\n* port\\_time: 2020-08-24-18:20" ]
translation	transformers	### opus-mt-es-eo * source languages: es * target languages: eo * OPUS readme: [es-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-eo/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/es-eo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.eo \| 44.7 \| 0.657 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "eo", "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 #es #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-eo * source languages: es * target languages: eo * OPUS readme: es-eo * 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: 44.7, chr-F: 0.657	[ "### opus-mt-es-eo\n\n\n* source languages: es\n* target languages: eo\n* OPUS readme: es-eo\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: 44.7, chr-F: 0.657" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-eo\n\n\n* source languages: es\n* target languages: eo\n* OPUS readme: es-eo\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: 44.7, chr-F: 0.657" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-eo\n\n\n* source languages: es\n* target languages: eo\n* OPUS readme: es-eo\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: 44.7, chr-F: 0.657" ]
translation	transformers	### opus-mt-es-es * source languages: es * target languages: es * OPUS readme: [es-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.es \| 51.7 \| 0.688 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "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 #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-es * source languages: es * target languages: es * OPUS readme: es-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: 51.7, chr-F: 0.688	[ "### opus-mt-es-es\n\n\n* source languages: es\n* target languages: es\n* OPUS readme: es-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: 51.7, chr-F: 0.688" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-es\n\n\n* source languages: es\n* target languages: es\n* OPUS readme: es-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: 51.7, chr-F: 0.688" ]	[ 49, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-es\n\n\n* source languages: es\n* target languages: es\n* OPUS readme: es-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: 51.7, chr-F: 0.688" ]
translation	transformers	### opus-mt-es-et * source languages: es * target languages: et * OPUS readme: [es-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-et/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/es-et/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.et \| 20.7 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-et	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "et", "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 #es #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-et * source languages: es * target languages: et * OPUS readme: es-et * 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: 20.7, chr-F: 0.466	[ "### opus-mt-es-et\n\n\n* source languages: es\n* target languages: et\n* OPUS readme: es-et\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: 20.7, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-et\n\n\n* source languages: es\n* target languages: et\n* OPUS readme: es-et\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: 20.7, chr-F: 0.466" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-et\n\n\n* source languages: es\n* target languages: et\n* OPUS readme: es-et\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: 20.7, chr-F: 0.466" ]
translation	transformers	### spa-eus * source group: Spanish * target group: Basque * OPUS readme: [spa-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md) * model: transformer-align * source language(s): spa * target language(s): eus * 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/spa-eus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.eus \| 37.0 \| 0.638 \| ### System Info: - hf_name: spa-eus - source_languages: spa - target_languages: eus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'eu'] - src_constituents: {'spa'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: eus - short_pair: es-eu - chrF2_score: 0.638 - bleu: 37.0 - brevity_penalty: 0.983 - ref_len: 10945.0 - src_name: Spanish - tgt_name: Basque - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: eu - prefer_old: False - long_pair: spa-eus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "eu"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-eu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "eu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "eu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-eus * source group: Spanish * target group: Basque * OPUS readme: spa-eus * model: transformer-align * source language(s): spa * target language(s): eus * 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: 37.0, chr-F: 0.638 ### System Info: * hf\_name: spa-eus * source\_languages: spa * target\_languages: eus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'eu'] * src\_constituents: {'spa'} * tgt\_constituents: {'eus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: eus * short\_pair: es-eu * chrF2\_score: 0.638 * bleu: 37.0 * brevity\_penalty: 0.983 * ref\_len: 10945.0 * src\_name: Spanish * tgt\_name: Basque * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: eu * prefer\_old: False * long\_pair: spa-eus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-eus\n\n\n* source group: Spanish\n* target group: Basque\n* OPUS readme: spa-eus\n* model: transformer-align\n* source language(s): spa\n* target language(s): eus\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: 37.0, chr-F: 0.638", "### System Info:\n\n\n* hf\\_name: spa-eus\n* source\\_languages: spa\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'eu']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'eus'}\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: spa\n* tgt\\_alpha3: eus\n* short\\_pair: es-eu\n* chrF2\\_score: 0.638\n* bleu: 37.0\n* brevity\\_penalty: 0.983\n* ref\\_len: 10945.0\n* src\\_name: Spanish\n* tgt\\_name: Basque\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: spa-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 #tf #marian #text2text-generation #translation #es #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-eus\n\n\n* source group: Spanish\n* target group: Basque\n* OPUS readme: spa-eus\n* model: transformer-align\n* source language(s): spa\n* target language(s): eus\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: 37.0, chr-F: 0.638", "### System Info:\n\n\n* hf\\_name: spa-eus\n* source\\_languages: spa\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'eu']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'eus'}\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: spa\n* tgt\\_alpha3: eus\n* short\\_pair: es-eu\n* chrF2\\_score: 0.638\n* bleu: 37.0\n* brevity\\_penalty: 0.983\n* ref\\_len: 10945.0\n* src\\_name: Spanish\n* tgt\\_name: Basque\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: spa-eus\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 #es #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-eus\n\n\n* source group: Spanish\n* target group: Basque\n* OPUS readme: spa-eus\n* model: transformer-align\n* source language(s): spa\n* target language(s): eus\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: 37.0, chr-F: 0.638### System Info:\n\n\n* hf\\_name: spa-eus\n* source\\_languages: spa\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'eu']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'eus'}\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: spa\n* tgt\\_alpha3: eus\n* short\\_pair: es-eu\n* chrF2\\_score: 0.638\n* bleu: 37.0\n* brevity\\_penalty: 0.983\n* ref\\_len: 10945.0\n* src\\_name: Spanish\n* tgt\\_name: Basque\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: spa-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-es-fi * source languages: es * target languages: fi * OPUS readme: [es-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-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/es-fi/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.fi \| 44.4 \| 0.672 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "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 #es #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-fi * source languages: es * target languages: fi * OPUS readme: es-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: 44.4, chr-F: 0.672	[ "### opus-mt-es-fi\n\n\n* source languages: es\n* target languages: fi\n* OPUS readme: es-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: 44.4, chr-F: 0.672" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-fi\n\n\n* source languages: es\n* target languages: fi\n* OPUS readme: es-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: 44.4, chr-F: 0.672" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-fi\n\n\n* source languages: es\n* target languages: fi\n* OPUS readme: es-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: 44.4, chr-F: 0.672" ]
translation	transformers	### opus-mt-es-fj * source languages: es * target languages: fj * OPUS readme: [es-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.fj \| 24.8 \| 0.472 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-fj	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "fj", "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 #es #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-fj * source languages: es * target languages: fj * OPUS readme: es-fj * 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: 24.8, chr-F: 0.472	[ "### opus-mt-es-fj\n\n\n* source languages: es\n* target languages: fj\n* OPUS readme: es-fj\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: 24.8, chr-F: 0.472" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-fj\n\n\n* source languages: es\n* target languages: fj\n* OPUS readme: es-fj\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: 24.8, chr-F: 0.472" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-fj\n\n\n* source languages: es\n* target languages: fj\n* OPUS readme: es-fj\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: 24.8, chr-F: 0.472" ]
translation	transformers	### opus-mt-es-fr * source languages: es * target languages: fr * OPUS readme: [es-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.es.fr \| 33.6 \| 0.610 \| \| news-test2008.es.fr \| 32.0 \| 0.585 \| \| newstest2009.es.fr \| 32.5 \| 0.590 \| \| newstest2010.es.fr \| 35.0 \| 0.615 \| \| newstest2011.es.fr \| 33.9 \| 0.607 \| \| newstest2012.es.fr \| 32.4 \| 0.602 \| \| newstest2013.es.fr \| 32.1 \| 0.593 \| \| Tatoeba.es.fr \| 58.4 \| 0.731 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "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 #es #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-fr * source languages: es * target languages: fr * OPUS readme: es-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: 33.6, chr-F: 0.610 testset: URL, BLEU: 32.0, chr-F: 0.585 testset: URL, BLEU: 32.5, chr-F: 0.590 testset: URL, BLEU: 35.0, chr-F: 0.615 testset: URL, BLEU: 33.9, chr-F: 0.607 testset: URL, BLEU: 32.4, chr-F: 0.602 testset: URL, BLEU: 32.1, chr-F: 0.593 testset: URL, BLEU: 58.4, chr-F: 0.731	[ "### opus-mt-es-fr\n\n\n* source languages: es\n* target languages: fr\n* OPUS readme: es-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: 33.6, chr-F: 0.610\ntestset: URL, BLEU: 32.0, chr-F: 0.585\ntestset: URL, BLEU: 32.5, chr-F: 0.590\ntestset: URL, BLEU: 35.0, chr-F: 0.615\ntestset: URL, BLEU: 33.9, chr-F: 0.607\ntestset: URL, BLEU: 32.4, chr-F: 0.602\ntestset: URL, BLEU: 32.1, chr-F: 0.593\ntestset: URL, BLEU: 58.4, chr-F: 0.731" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-fr\n\n\n* source languages: es\n* target languages: fr\n* OPUS readme: es-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: 33.6, chr-F: 0.610\ntestset: URL, BLEU: 32.0, chr-F: 0.585\ntestset: URL, BLEU: 32.5, chr-F: 0.590\ntestset: URL, BLEU: 35.0, chr-F: 0.615\ntestset: URL, BLEU: 33.9, chr-F: 0.607\ntestset: URL, BLEU: 32.4, chr-F: 0.602\ntestset: URL, BLEU: 32.1, chr-F: 0.593\ntestset: URL, BLEU: 58.4, chr-F: 0.731" ]	[ 51, 265 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-fr\n\n\n* source languages: es\n* target languages: fr\n* OPUS readme: es-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: 33.6, chr-F: 0.610\ntestset: URL, BLEU: 32.0, chr-F: 0.585\ntestset: URL, BLEU: 32.5, chr-F: 0.590\ntestset: URL, BLEU: 35.0, chr-F: 0.615\ntestset: URL, BLEU: 33.9, chr-F: 0.607\ntestset: URL, BLEU: 32.4, chr-F: 0.602\ntestset: URL, BLEU: 32.1, chr-F: 0.593\ntestset: URL, BLEU: 58.4, chr-F: 0.731" ]
translation	transformers	### opus-mt-es-gaa * source languages: es * target languages: gaa * OPUS readme: [es-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gaa/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/es-gaa/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.gaa \| 27.8 \| 0.479 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-gaa	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "gaa", "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 #es #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-gaa * source languages: es * target languages: gaa * OPUS readme: es-gaa * 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: 0.479	[ "### opus-mt-es-gaa\n\n\n* source languages: es\n* target languages: gaa\n* OPUS readme: es-gaa\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: 0.479" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-gaa\n\n\n* source languages: es\n* target languages: gaa\n* OPUS readme: es-gaa\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: 0.479" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-gaa\n\n\n* source languages: es\n* target languages: gaa\n* OPUS readme: es-gaa\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: 0.479" ]
translation	transformers	### opus-mt-es-gil * source languages: es * target languages: gil * OPUS readme: [es-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gil/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/es-gil/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.gil \| 23.8 \| 0.470 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-gil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "gil", "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 #es #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-gil * source languages: es * target languages: gil * OPUS readme: es-gil * 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: 23.8, chr-F: 0.470	[ "### opus-mt-es-gil\n\n\n* source languages: es\n* target languages: gil\n* OPUS readme: es-gil\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: 23.8, chr-F: 0.470" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-gil\n\n\n* source languages: es\n* target languages: gil\n* OPUS readme: es-gil\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: 23.8, chr-F: 0.470" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-gil\n\n\n* source languages: es\n* target languages: gil\n* OPUS readme: es-gil\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: 23.8, chr-F: 0.470" ]
translation	transformers	### spa-glg * source group: Spanish * target group: Galician * OPUS readme: [spa-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md) * model: transformer-align * source language(s): spa * 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/spa-glg/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.glg \| 67.6 \| 0.808 \| ### System Info: - hf_name: spa-glg - source_languages: spa - target_languages: glg - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'gl'] - src_constituents: {'spa'} - tgt_constituents: {'glg'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt - src_alpha3: spa - tgt_alpha3: glg - short_pair: es-gl - chrF2_score: 0.8079999999999999 - bleu: 67.6 - brevity_penalty: 0.993 - ref_len: 16581.0 - src_name: Spanish - tgt_name: Galician - train_date: 2020-06-16 - src_alpha2: es - tgt_alpha2: gl - prefer_old: False - long_pair: spa-glg - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "gl"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-gl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "gl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "gl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-glg * source group: Spanish * target group: Galician * OPUS readme: spa-glg * model: transformer-align * source language(s): spa * 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: 67.6, chr-F: 0.808 ### System Info: * hf\_name: spa-glg * source\_languages: spa * target\_languages: glg * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'gl'] * src\_constituents: {'spa'} * tgt\_constituents: {'glg'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: glg * short\_pair: es-gl * chrF2\_score: 0.8079999999999999 * bleu: 67.6 * brevity\_penalty: 0.993 * ref\_len: 16581.0 * src\_name: Spanish * tgt\_name: Galician * train\_date: 2020-06-16 * src\_alpha2: es * tgt\_alpha2: gl * prefer\_old: False * long\_pair: spa-glg * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-glg\n\n\n* source group: Spanish\n* target group: Galician\n* OPUS readme: spa-glg\n* model: transformer-align\n* source language(s): spa\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: 67.6, chr-F: 0.808", "### System Info:\n\n\n* hf\\_name: spa-glg\n* source\\_languages: spa\n* target\\_languages: glg\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'gl']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: glg\n* short\\_pair: es-gl\n* chrF2\\_score: 0.8079999999999999\n* bleu: 67.6\n* brevity\\_penalty: 0.993\n* ref\\_len: 16581.0\n* src\\_name: Spanish\n* tgt\\_name: Galician\n* train\\_date: 2020-06-16\n* src\\_alpha2: es\n* tgt\\_alpha2: gl\n* prefer\\_old: False\n* long\\_pair: spa-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 #es #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-glg\n\n\n* source group: Spanish\n* target group: Galician\n* OPUS readme: spa-glg\n* model: transformer-align\n* source language(s): spa\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: 67.6, chr-F: 0.808", "### System Info:\n\n\n* hf\\_name: spa-glg\n* source\\_languages: spa\n* target\\_languages: glg\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'gl']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: glg\n* short\\_pair: es-gl\n* chrF2\\_score: 0.8079999999999999\n* bleu: 67.6\n* brevity\\_penalty: 0.993\n* ref\\_len: 16581.0\n* src\\_name: Spanish\n* tgt\\_name: Galician\n* train\\_date: 2020-06-16\n* src\\_alpha2: es\n* tgt\\_alpha2: gl\n* prefer\\_old: False\n* long\\_pair: spa-glg\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 137, 417 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-glg\n\n\n* source group: Spanish\n* target group: Galician\n* OPUS readme: spa-glg\n* model: transformer-align\n* source language(s): spa\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: 67.6, chr-F: 0.808### System Info:\n\n\n* hf\\_name: spa-glg\n* source\\_languages: spa\n* target\\_languages: glg\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'gl']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: glg\n* short\\_pair: es-gl\n* chrF2\\_score: 0.8079999999999999\n* bleu: 67.6\n* brevity\\_penalty: 0.993\n* ref\\_len: 16581.0\n* src\\_name: Spanish\n* tgt\\_name: Galician\n* train\\_date: 2020-06-16\n* src\\_alpha2: es\n* tgt\\_alpha2: gl\n* prefer\\_old: False\n* long\\_pair: spa-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	### opus-mt-es-guw * source languages: es * target languages: guw * OPUS readme: [es-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-guw/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/es-guw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.guw \| 28.6 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-guw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "guw", "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 #es #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-guw * source languages: es * target languages: guw * OPUS readme: es-guw * 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: 28.6, chr-F: 0.480	[ "### opus-mt-es-guw\n\n\n* source languages: es\n* target languages: guw\n* OPUS readme: es-guw\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: 28.6, chr-F: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-guw\n\n\n* source languages: es\n* target languages: guw\n* OPUS readme: es-guw\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: 28.6, chr-F: 0.480" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-guw\n\n\n* source languages: es\n* target languages: guw\n* OPUS readme: es-guw\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: 28.6, chr-F: 0.480" ]
translation	transformers	### opus-mt-es-ha * source languages: es * target languages: ha * OPUS readme: [es-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ha/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/es-ha/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ha \| 20.6 \| 0.421 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ha	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ha", "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 #es #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ha * source languages: es * target languages: ha * OPUS readme: es-ha * 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: 20.6, chr-F: 0.421	[ "### opus-mt-es-ha\n\n\n* source languages: es\n* target languages: ha\n* OPUS readme: es-ha\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: 20.6, chr-F: 0.421" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ha\n\n\n* source languages: es\n* target languages: ha\n* OPUS readme: es-ha\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: 20.6, chr-F: 0.421" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ha\n\n\n* source languages: es\n* target languages: ha\n* OPUS readme: es-ha\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: 20.6, chr-F: 0.421" ]
translation	transformers	### es-he * source group: Spanish * target group: Hebrew * OPUS readme: [spa-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md) * model: transformer * source language(s): spa * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.heb \| 43.6 \| 0.636 \| ### System Info: - hf_name: es-he - source_languages: spa - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'he'] - src_constituents: ('Spanish', {'spa'}) - tgt_constituents: ('Hebrew', {'heb'}) - src_multilingual: False - tgt_multilingual: False - long_pair: spa-heb - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt - src_alpha3: spa - tgt_alpha3: heb - chrF2_score: 0.636 - bleu: 43.6 - brevity_penalty: 0.992 - ref_len: 12112.0 - src_name: Spanish - tgt_name: Hebrew - train_date: 2020-12-10 00:00:00 - src_alpha2: es - tgt_alpha2: he - prefer_old: False - short_pair: es-he - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-11:41	{"language": ["es", "he"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-he	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "he" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### es-he * source group: Spanish * target group: Hebrew * OPUS readme: spa-heb * model: transformer * source language(s): spa * 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: 43.6, chr-F: 0.636 ### System Info: * hf\_name: es-he * source\_languages: spa * target\_languages: heb * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'he'] * src\_constituents: ('Spanish', {'spa'}) * tgt\_constituents: ('Hebrew', {'heb'}) * src\_multilingual: False * tgt\_multilingual: False * long\_pair: spa-heb * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: heb * chrF2\_score: 0.636 * bleu: 43.6 * brevity\_penalty: 0.992 * ref\_len: 12112.0 * src\_name: Spanish * tgt\_name: Hebrew * train\_date: 2020-12-10 00:00:00 * src\_alpha2: es * tgt\_alpha2: he * prefer\_old: False * short\_pair: es-he * helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 * transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de * port\_machine: URL * port\_time: 2020-12-11-11:41	[ "### es-he\n\n\n* source group: Spanish\n* target group: Hebrew\n* OPUS readme: spa-heb\n* model: transformer\n* source language(s): spa\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: 43.6, chr-F: 0.636", "### System Info:\n\n\n* hf\\_name: es-he\n* source\\_languages: spa\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'he']\n* src\\_constituents: ('Spanish', {'spa'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: spa-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: spa\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.636\n* bleu: 43.6\n* brevity\\_penalty: 0.992\n* ref\\_len: 12112.0\n* src\\_name: Spanish\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: es\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: es-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-11:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### es-he\n\n\n* source group: Spanish\n* target group: Hebrew\n* OPUS readme: spa-heb\n* model: transformer\n* source language(s): spa\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: 43.6, chr-F: 0.636", "### System Info:\n\n\n* hf\\_name: es-he\n* source\\_languages: spa\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'he']\n* src\\_constituents: ('Spanish', {'spa'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: spa-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: spa\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.636\n* bleu: 43.6\n* brevity\\_penalty: 0.992\n* ref\\_len: 12112.0\n* src\\_name: Spanish\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: es\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: es-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-11:41" ]	[ 51, 129, 414 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### es-he\n\n\n* source group: Spanish\n* target group: Hebrew\n* OPUS readme: spa-heb\n* model: transformer\n* source language(s): spa\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: 43.6, chr-F: 0.636### System Info:\n\n\n* hf\\_name: es-he\n* source\\_languages: spa\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'he']\n* src\\_constituents: ('Spanish', {'spa'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: spa-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: spa\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.636\n* bleu: 43.6\n* brevity\\_penalty: 0.992\n* ref\\_len: 12112.0\n* src\\_name: Spanish\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: es\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: es-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-11:41" ]
translation	transformers	### opus-mt-es-hil * source languages: es * target languages: hil * OPUS readme: [es-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.hil \| 35.8 \| 0.584 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-hil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "hil", "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 #es #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-hil * source languages: es * target languages: hil * OPUS readme: es-hil * 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: 35.8, chr-F: 0.584	[ "### opus-mt-es-hil\n\n\n* source languages: es\n* target languages: hil\n* OPUS readme: es-hil\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: 35.8, chr-F: 0.584" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-hil\n\n\n* source languages: es\n* target languages: hil\n* OPUS readme: es-hil\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: 35.8, chr-F: 0.584" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-hil\n\n\n* source languages: es\n* target languages: hil\n* OPUS readme: es-hil\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: 35.8, chr-F: 0.584" ]
translation	transformers	### opus-mt-es-ho * source languages: es * target languages: ho * OPUS readme: [es-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ho/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/es-ho/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ho \| 22.8 \| 0.463 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ho	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ho", "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 #es #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ho * source languages: es * target languages: ho * OPUS readme: es-ho * 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: 22.8, chr-F: 0.463	[ "### opus-mt-es-ho\n\n\n* source languages: es\n* target languages: ho\n* OPUS readme: es-ho\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: 22.8, chr-F: 0.463" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ho\n\n\n* source languages: es\n* target languages: ho\n* OPUS readme: es-ho\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: 22.8, chr-F: 0.463" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ho\n\n\n* source languages: es\n* target languages: ho\n* OPUS readme: es-ho\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: 22.8, chr-F: 0.463" ]
translation	transformers	### opus-mt-es-hr * source languages: es * target languages: hr * OPUS readme: [es-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-hr/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/es-hr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.hr \| 21.7 \| 0.459 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-hr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "hr", "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 #es #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-hr * source languages: es * target languages: hr * OPUS readme: es-hr * 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: 21.7, chr-F: 0.459	[ "### opus-mt-es-hr\n\n\n* source languages: es\n* target languages: hr\n* OPUS readme: es-hr\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: 21.7, chr-F: 0.459" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-hr\n\n\n* source languages: es\n* target languages: hr\n* OPUS readme: es-hr\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: 21.7, chr-F: 0.459" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-hr\n\n\n* source languages: es\n* target languages: hr\n* OPUS readme: es-hr\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: 21.7, chr-F: 0.459" ]
translation	transformers	### opus-mt-es-ht * source languages: es * target languages: ht * OPUS readme: [es-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ht/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/es-ht/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ht \| 23.3 \| 0.407 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ht	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ht", "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 #es #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ht * source languages: es * target languages: ht * OPUS readme: es-ht * 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: 23.3, chr-F: 0.407	[ "### opus-mt-es-ht\n\n\n* source languages: es\n* target languages: ht\n* OPUS readme: es-ht\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: 23.3, chr-F: 0.407" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ht\n\n\n* source languages: es\n* target languages: ht\n* OPUS readme: es-ht\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: 23.3, chr-F: 0.407" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ht\n\n\n* source languages: es\n* target languages: ht\n* OPUS readme: es-ht\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: 23.3, chr-F: 0.407" ]
translation	transformers	### opus-mt-es-id * source languages: es * target languages: id * OPUS readme: [es-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-id/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/es-id/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.es.id \| 21.1 \| 0.516 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-id	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "id", "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 #es #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-id * source languages: es * target languages: id * OPUS readme: es-id * 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: 21.1, chr-F: 0.516	[ "### opus-mt-es-id\n\n\n* source languages: es\n* target languages: id\n* OPUS readme: es-id\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: 21.1, chr-F: 0.516" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-id\n\n\n* source languages: es\n* target languages: id\n* OPUS readme: es-id\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: 21.1, chr-F: 0.516" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-id\n\n\n* source languages: es\n* target languages: id\n* OPUS readme: es-id\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: 21.1, chr-F: 0.516" ]
translation	transformers	### opus-mt-es-ig * source languages: es * target languages: ig * OPUS readme: [es-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ig/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/es-ig/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ig \| 27.0 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ig	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ig", "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 #es #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ig * source languages: es * target languages: ig * OPUS readme: es-ig * 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: 27.0, chr-F: 0.434	[ "### opus-mt-es-ig\n\n\n* source languages: es\n* target languages: ig\n* OPUS readme: es-ig\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: 27.0, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ig\n\n\n* source languages: es\n* target languages: ig\n* OPUS readme: es-ig\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: 27.0, chr-F: 0.434" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ig\n\n\n* source languages: es\n* target languages: ig\n* OPUS readme: es-ig\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: 27.0, chr-F: 0.434" ]
translation	transformers	### opus-mt-es-ilo * source languages: es * target languages: ilo * OPUS readme: [es-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ilo/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/es-ilo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ilo \| 31.0 \| 0.544 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ilo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ilo", "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 #es #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ilo * source languages: es * target languages: ilo * OPUS readme: es-ilo * 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: 31.0, chr-F: 0.544	[ "### opus-mt-es-ilo\n\n\n* source languages: es\n* target languages: ilo\n* OPUS readme: es-ilo\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: 31.0, chr-F: 0.544" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ilo\n\n\n* source languages: es\n* target languages: ilo\n* OPUS readme: es-ilo\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: 31.0, chr-F: 0.544" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ilo\n\n\n* source languages: es\n* target languages: ilo\n* OPUS readme: es-ilo\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: 31.0, chr-F: 0.544" ]
translation	transformers	### spa-isl * source group: Spanish * target group: Icelandic * OPUS readme: [spa-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md) * model: transformer-align * source language(s): spa * target language(s): isl * 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/spa-isl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.isl \| 27.1 \| 0.528 \| ### System Info: - hf_name: spa-isl - source_languages: spa - target_languages: isl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'is'] - src_constituents: {'spa'} - tgt_constituents: {'isl'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: isl - short_pair: es-is - chrF2_score: 0.528 - bleu: 27.1 - brevity_penalty: 1.0 - ref_len: 1220.0 - src_name: Spanish - tgt_name: Icelandic - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: is - prefer_old: False - long_pair: spa-isl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "is"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-is	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "is", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "is" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-isl * source group: Spanish * target group: Icelandic * OPUS readme: spa-isl * model: transformer-align * source language(s): spa * target language(s): isl * 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: 27.1, chr-F: 0.528 ### System Info: * hf\_name: spa-isl * source\_languages: spa * target\_languages: isl * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'is'] * src\_constituents: {'spa'} * tgt\_constituents: {'isl'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: isl * short\_pair: es-is * chrF2\_score: 0.528 * bleu: 27.1 * brevity\_penalty: 1.0 * ref\_len: 1220.0 * src\_name: Spanish * tgt\_name: Icelandic * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: is * prefer\_old: False * long\_pair: spa-isl * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-isl\n\n\n* source group: Spanish\n* target group: Icelandic\n* OPUS readme: spa-isl\n* model: transformer-align\n* source language(s): spa\n* target language(s): isl\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: 27.1, chr-F: 0.528", "### System Info:\n\n\n* hf\\_name: spa-isl\n* source\\_languages: spa\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'is']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'isl'}\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: spa\n* tgt\\_alpha3: isl\n* short\\_pair: es-is\n* chrF2\\_score: 0.528\n* bleu: 27.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 1220.0\n* src\\_name: Spanish\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: spa-isl\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 #es #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-isl\n\n\n* source group: Spanish\n* target group: Icelandic\n* OPUS readme: spa-isl\n* model: transformer-align\n* source language(s): spa\n* target language(s): isl\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: 27.1, chr-F: 0.528", "### System Info:\n\n\n* hf\\_name: spa-isl\n* source\\_languages: spa\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'is']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'isl'}\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: spa\n* tgt\\_alpha3: isl\n* short\\_pair: es-is\n* chrF2\\_score: 0.528\n* bleu: 27.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 1220.0\n* src\\_name: Spanish\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: spa-isl\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 #es #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-isl\n\n\n* source group: Spanish\n* target group: Icelandic\n* OPUS readme: spa-isl\n* model: transformer-align\n* source language(s): spa\n* target language(s): isl\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: 27.1, chr-F: 0.528### System Info:\n\n\n* hf\\_name: spa-isl\n* source\\_languages: spa\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'is']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'isl'}\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: spa\n* tgt\\_alpha3: isl\n* short\\_pair: es-is\n* chrF2\\_score: 0.528\n* bleu: 27.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 1220.0\n* src\\_name: Spanish\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: spa-isl\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-es-iso * source languages: es * target languages: iso * OPUS readme: [es-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-iso/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/es-iso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.iso \| 22.4 \| 0.396 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-iso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "iso", "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 #es #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-iso * source languages: es * target languages: iso * OPUS readme: es-iso * 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: 0.396	[ "### opus-mt-es-iso\n\n\n* source languages: es\n* target languages: iso\n* OPUS readme: es-iso\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: 0.396" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-iso\n\n\n* source languages: es\n* target languages: iso\n* OPUS readme: es-iso\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: 0.396" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-iso\n\n\n* source languages: es\n* target languages: iso\n* OPUS readme: es-iso\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: 0.396" ]
translation	transformers	### opus-mt-es-it * source languages: es * target languages: it * OPUS readme: [es-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-it/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.it \| 55.9 \| 0.751 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-it	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "it", "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 #es #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-it * source languages: es * target languages: it * OPUS readme: es-it * 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: 55.9, chr-F: 0.751	[ "### opus-mt-es-it\n\n\n* source languages: es\n* target languages: it\n* OPUS readme: es-it\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: 55.9, chr-F: 0.751" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-it\n\n\n* source languages: es\n* target languages: it\n* OPUS readme: es-it\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: 55.9, chr-F: 0.751" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-it\n\n\n* source languages: es\n* target languages: it\n* OPUS readme: es-it\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: 55.9, chr-F: 0.751" ]
translation	transformers	### opus-mt-es-kg * source languages: es * target languages: kg * OPUS readme: [es-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-kg/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/es-kg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.kg \| 25.6 \| 0.488 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-kg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "kg", "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 #es #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-kg * source languages: es * target languages: kg * OPUS readme: es-kg * 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: 25.6, chr-F: 0.488	[ "### opus-mt-es-kg\n\n\n* source languages: es\n* target languages: kg\n* OPUS readme: es-kg\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: 25.6, chr-F: 0.488" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-kg\n\n\n* source languages: es\n* target languages: kg\n* OPUS readme: es-kg\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: 25.6, chr-F: 0.488" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-kg\n\n\n* source languages: es\n* target languages: kg\n* OPUS readme: es-kg\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: 25.6, chr-F: 0.488" ]
translation	transformers	### opus-mt-es-ln * source languages: es * target languages: ln * OPUS readme: [es-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ln/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/es-ln/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ln \| 27.1 \| 0.508 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ln	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ln", "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 #es #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ln * source languages: es * target languages: ln * OPUS readme: es-ln * 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: 27.1, chr-F: 0.508	[ "### opus-mt-es-ln\n\n\n* source languages: es\n* target languages: ln\n* OPUS readme: es-ln\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: 27.1, chr-F: 0.508" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ln\n\n\n* source languages: es\n* target languages: ln\n* OPUS readme: es-ln\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: 27.1, chr-F: 0.508" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ln\n\n\n* source languages: es\n* target languages: ln\n* OPUS readme: es-ln\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: 27.1, chr-F: 0.508" ]
translation	transformers	### opus-mt-es-loz * source languages: es * target languages: loz * OPUS readme: [es-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-loz/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/es-loz/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.loz \| 28.6 \| 0.493 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-loz	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "loz", "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 #es #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-loz * source languages: es * target languages: loz * OPUS readme: es-loz * 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: 28.6, chr-F: 0.493	[ "### opus-mt-es-loz\n\n\n* source languages: es\n* target languages: loz\n* OPUS readme: es-loz\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: 28.6, chr-F: 0.493" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-loz\n\n\n* source languages: es\n* target languages: loz\n* OPUS readme: es-loz\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: 28.6, chr-F: 0.493" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-loz\n\n\n* source languages: es\n* target languages: loz\n* OPUS readme: es-loz\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: 28.6, chr-F: 0.493" ]
translation	transformers	### spa-lit * source group: Spanish * target group: Lithuanian * OPUS readme: [spa-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-lit/README.md) * model: transformer-align * source language(s): spa * 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/spa-lit/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.lit \| 40.2 \| 0.643 \| ### System Info: - hf_name: spa-lit - source_languages: spa - target_languages: lit - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-lit/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'lt'] - src_constituents: {'spa'} - tgt_constituents: {'lit'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: lit - short_pair: es-lt - chrF2_score: 0.643 - bleu: 40.2 - brevity_penalty: 0.956 - ref_len: 2341.0 - src_name: Spanish - tgt_name: Lithuanian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: lt - prefer_old: False - long_pair: spa-lit - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "lt"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-lt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "lt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "lt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-lit * source group: Spanish * target group: Lithuanian * OPUS readme: spa-lit * model: transformer-align * source language(s): spa * 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: 40.2, chr-F: 0.643 ### System Info: * hf\_name: spa-lit * source\_languages: spa * target\_languages: lit * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'lt'] * src\_constituents: {'spa'} * tgt\_constituents: {'lit'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: lit * short\_pair: es-lt * chrF2\_score: 0.643 * bleu: 40.2 * brevity\_penalty: 0.956 * ref\_len: 2341.0 * src\_name: Spanish * tgt\_name: Lithuanian * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: lt * prefer\_old: False * long\_pair: spa-lit * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-lit\n\n\n* source group: Spanish\n* target group: Lithuanian\n* OPUS readme: spa-lit\n* model: transformer-align\n* source language(s): spa\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: 40.2, chr-F: 0.643", "### System Info:\n\n\n* hf\\_name: spa-lit\n* source\\_languages: spa\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'lt']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: lit\n* short\\_pair: es-lt\n* chrF2\\_score: 0.643\n* bleu: 40.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 2341.0\n* src\\_name: Spanish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: spa-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 #es #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-lit\n\n\n* source group: Spanish\n* target group: Lithuanian\n* OPUS readme: spa-lit\n* model: transformer-align\n* source language(s): spa\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: 40.2, chr-F: 0.643", "### System Info:\n\n\n* hf\\_name: spa-lit\n* source\\_languages: spa\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'lt']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: lit\n* short\\_pair: es-lt\n* chrF2\\_score: 0.643\n* bleu: 40.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 2341.0\n* src\\_name: Spanish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: spa-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, 391 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-lit\n\n\n* source group: Spanish\n* target group: Lithuanian\n* OPUS readme: spa-lit\n* model: transformer-align\n* source language(s): spa\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: 40.2, chr-F: 0.643### System Info:\n\n\n* hf\\_name: spa-lit\n* source\\_languages: spa\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'lt']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: lit\n* short\\_pair: es-lt\n* chrF2\\_score: 0.643\n* bleu: 40.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 2341.0\n* src\\_name: Spanish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: spa-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	### opus-mt-es-lua * source languages: es * target languages: lua * OPUS readme: [es-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lua/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/es-lua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.lua \| 23.4 \| 0.473 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-lua	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "lua", "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 #es #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-lua * source languages: es * target languages: lua * OPUS readme: es-lua * 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: 0.473	[ "### opus-mt-es-lua\n\n\n* source languages: es\n* target languages: lua\n* OPUS readme: es-lua\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: 0.473" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-lua\n\n\n* source languages: es\n* target languages: lua\n* OPUS readme: es-lua\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: 0.473" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-lua\n\n\n* source languages: es\n* target languages: lua\n* OPUS readme: es-lua\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: 0.473" ]
translation	transformers	### opus-mt-es-lus * source languages: es * target languages: lus * OPUS readme: [es-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lus/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/es-lus/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.lus \| 20.9 \| 0.414 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-lus	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "lus", "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 #es #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-lus * source languages: es * target languages: lus * OPUS readme: es-lus * 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: 20.9, chr-F: 0.414	[ "### opus-mt-es-lus\n\n\n* source languages: es\n* target languages: lus\n* OPUS readme: es-lus\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: 20.9, chr-F: 0.414" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-lus\n\n\n* source languages: es\n* target languages: lus\n* OPUS readme: es-lus\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: 20.9, chr-F: 0.414" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-lus\n\n\n* source languages: es\n* target languages: lus\n* OPUS readme: es-lus\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: 20.9, chr-F: 0.414" ]
translation	transformers	### opus-mt-es-mfs * source languages: es * target languages: mfs * OPUS readme: [es-mfs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mfs/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/es-mfs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.mfs \| 88.6 \| 0.907 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-mfs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "mfs", "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 #es #mfs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-mfs * source languages: es * target languages: mfs * OPUS readme: es-mfs * 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: 88.6, chr-F: 0.907	[ "### opus-mt-es-mfs\n\n\n* source languages: es\n* target languages: mfs\n* OPUS readme: es-mfs\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: 88.6, chr-F: 0.907" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #mfs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-mfs\n\n\n* source languages: es\n* target languages: mfs\n* OPUS readme: es-mfs\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: 88.6, chr-F: 0.907" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #mfs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-mfs\n\n\n* source languages: es\n* target languages: mfs\n* OPUS readme: es-mfs\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: 88.6, chr-F: 0.907" ]
translation	transformers	### spa-mkd * source group: Spanish * target group: Macedonian * OPUS readme: [spa-mkd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md) * model: transformer-align * source language(s): spa * target language(s): mkd * 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/spa-mkd/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.mkd \| 48.2 \| 0.681 \| ### System Info: - hf_name: spa-mkd - source_languages: spa - target_languages: mkd - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'mk'] - src_constituents: {'spa'} - tgt_constituents: {'mkd'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: mkd - short_pair: es-mk - chrF2_score: 0.6809999999999999 - bleu: 48.2 - brevity_penalty: 1.0 - ref_len: 1073.0 - src_name: Spanish - tgt_name: Macedonian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: mk - prefer_old: False - long_pair: spa-mkd - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "mk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-mk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "mk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "mk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #mk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-mkd * source group: Spanish * target group: Macedonian * OPUS readme: spa-mkd * model: transformer-align * source language(s): spa * target language(s): mkd * 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: 48.2, chr-F: 0.681 ### System Info: * hf\_name: spa-mkd * source\_languages: spa * target\_languages: mkd * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'mk'] * src\_constituents: {'spa'} * tgt\_constituents: {'mkd'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: mkd * short\_pair: es-mk * chrF2\_score: 0.6809999999999999 * bleu: 48.2 * brevity\_penalty: 1.0 * ref\_len: 1073.0 * src\_name: Spanish * tgt\_name: Macedonian * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: mk * prefer\_old: False * long\_pair: spa-mkd * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-mkd\n\n\n* source group: Spanish\n* target group: Macedonian\n* OPUS readme: spa-mkd\n* model: transformer-align\n* source language(s): spa\n* target language(s): mkd\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: 48.2, chr-F: 0.681", "### System Info:\n\n\n* hf\\_name: spa-mkd\n* source\\_languages: spa\n* target\\_languages: mkd\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'mk']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'mkd'}\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: spa\n* tgt\\_alpha3: mkd\n* short\\_pair: es-mk\n* chrF2\\_score: 0.6809999999999999\n* bleu: 48.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 1073.0\n* src\\_name: Spanish\n* tgt\\_name: Macedonian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: mk\n* prefer\\_old: False\n* long\\_pair: spa-mkd\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 #es #mk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-mkd\n\n\n* source group: Spanish\n* target group: Macedonian\n* OPUS readme: spa-mkd\n* model: transformer-align\n* source language(s): spa\n* target language(s): mkd\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: 48.2, chr-F: 0.681", "### System Info:\n\n\n* hf\\_name: spa-mkd\n* source\\_languages: spa\n* target\\_languages: mkd\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'mk']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'mkd'}\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: spa\n* tgt\\_alpha3: mkd\n* short\\_pair: es-mk\n* chrF2\\_score: 0.6809999999999999\n* bleu: 48.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 1073.0\n* src\\_name: Spanish\n* tgt\\_name: Macedonian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: mk\n* prefer\\_old: False\n* long\\_pair: spa-mkd\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 407 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #mk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-mkd\n\n\n* source group: Spanish\n* target group: Macedonian\n* OPUS readme: spa-mkd\n* model: transformer-align\n* source language(s): spa\n* target language(s): mkd\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: 48.2, chr-F: 0.681### System Info:\n\n\n* hf\\_name: spa-mkd\n* source\\_languages: spa\n* target\\_languages: mkd\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'mk']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'mkd'}\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: spa\n* tgt\\_alpha3: mkd\n* short\\_pair: es-mk\n* chrF2\\_score: 0.6809999999999999\n* bleu: 48.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 1073.0\n* src\\_name: Spanish\n* tgt\\_name: Macedonian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: mk\n* prefer\\_old: False\n* long\\_pair: spa-mkd\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-es-mt * source languages: es * target languages: mt * OPUS readme: [es-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mt/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/es-mt/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.mt \| 28.1 \| 0.460 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-mt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "mt", "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 #es #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-mt * source languages: es * target languages: mt * OPUS readme: es-mt * 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: 28.1, chr-F: 0.460	[ "### opus-mt-es-mt\n\n\n* source languages: es\n* target languages: mt\n* OPUS readme: es-mt\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: 28.1, chr-F: 0.460" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-mt\n\n\n* source languages: es\n* target languages: mt\n* OPUS readme: es-mt\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: 28.1, chr-F: 0.460" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-mt\n\n\n* source languages: es\n* target languages: mt\n* OPUS readme: es-mt\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: 28.1, chr-F: 0.460" ]
translation	transformers	### opus-mt-es-niu * source languages: es * target languages: niu * OPUS readme: [es-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-niu/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/es-niu/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.niu \| 29.9 \| 0.506 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-niu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "niu", "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 #es #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-niu * source languages: es * target languages: niu * OPUS readme: es-niu * 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: 29.9, chr-F: 0.506	[ "### opus-mt-es-niu\n\n\n* source languages: es\n* target languages: niu\n* OPUS readme: es-niu\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: 29.9, chr-F: 0.506" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-niu\n\n\n* source languages: es\n* target languages: niu\n* OPUS readme: es-niu\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: 29.9, chr-F: 0.506" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-niu\n\n\n* source languages: es\n* target languages: niu\n* OPUS readme: es-niu\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: 29.9, chr-F: 0.506" ]
translation	transformers	### opus-mt-es-nl * source languages: es * target languages: nl * OPUS readme: [es-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.nl \| 50.6 \| 0.681 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-nl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "nl", "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 #es #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-nl * source languages: es * target languages: nl * OPUS readme: es-nl * 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: 50.6, chr-F: 0.681	[ "### opus-mt-es-nl\n\n\n* source languages: es\n* target languages: nl\n* OPUS readme: es-nl\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: 50.6, chr-F: 0.681" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-nl\n\n\n* source languages: es\n* target languages: nl\n* OPUS readme: es-nl\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: 50.6, chr-F: 0.681" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-nl\n\n\n* source languages: es\n* target languages: nl\n* OPUS readme: es-nl\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: 50.6, chr-F: 0.681" ]
translation	transformers	### spa-nor * source group: Spanish * target group: Norwegian * OPUS readme: [spa-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md) * model: transformer-align * source language(s): spa * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * 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/spa-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.nor \| 36.7 \| 0.565 \| ### System Info: - hf_name: spa-nor - source_languages: spa - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'no'] - src_constituents: {'spa'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: nor - short_pair: es-no - chrF2_score: 0.565 - bleu: 36.7 - brevity_penalty: 0.99 - ref_len: 7217.0 - src_name: Spanish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: no - prefer_old: False - long_pair: spa-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", false], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-no	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-nor * source group: Spanish * target group: Norwegian * OPUS readme: spa-nor * model: transformer-align * source language(s): spa * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * 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: 36.7, chr-F: 0.565 ### System Info: * hf\_name: spa-nor * source\_languages: spa * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'no'] * src\_constituents: {'spa'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: nor * short\_pair: es-no * chrF2\_score: 0.565 * bleu: 36.7 * brevity\_penalty: 0.99 * ref\_len: 7217.0 * src\_name: Spanish * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: no * prefer\_old: False * long\_pair: spa-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-nor\n\n\n* source group: Spanish\n* target group: Norwegian\n* OPUS readme: spa-nor\n* model: transformer-align\n* source language(s): spa\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\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: 36.7, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: spa-nor\n* source\\_languages: spa\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'no']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'nob', 'nno'}\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: spa\n* tgt\\_alpha3: nor\n* short\\_pair: es-no\n* chrF2\\_score: 0.565\n* bleu: 36.7\n* brevity\\_penalty: 0.99\n* ref\\_len: 7217.0\n* src\\_name: Spanish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: spa-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 #es #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-nor\n\n\n* source group: Spanish\n* target group: Norwegian\n* OPUS readme: spa-nor\n* model: transformer-align\n* source language(s): spa\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\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: 36.7, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: spa-nor\n* source\\_languages: spa\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'no']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'nob', 'nno'}\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: spa\n* tgt\\_alpha3: nor\n* short\\_pair: es-no\n* chrF2\\_score: 0.565\n* bleu: 36.7\n* brevity\\_penalty: 0.99\n* ref\\_len: 7217.0\n* src\\_name: Spanish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: spa-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, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-nor\n\n\n* source group: Spanish\n* target group: Norwegian\n* OPUS readme: spa-nor\n* model: transformer-align\n* source language(s): spa\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\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: 36.7, chr-F: 0.565### System Info:\n\n\n* hf\\_name: spa-nor\n* source\\_languages: spa\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'no']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'nob', 'nno'}\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: spa\n* tgt\\_alpha3: nor\n* short\\_pair: es-no\n* chrF2\\_score: 0.565\n* bleu: 36.7\n* brevity\\_penalty: 0.99\n* ref\\_len: 7217.0\n* src\\_name: Spanish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: spa-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	### opus-mt-es-nso * source languages: es * target languages: nso * OPUS readme: [es-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nso/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/es-nso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.nso \| 33.2 \| 0.531 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-nso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "nso", "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 #es #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-nso * source languages: es * target languages: nso * OPUS readme: es-nso * 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: 33.2, chr-F: 0.531	[ "### opus-mt-es-nso\n\n\n* source languages: es\n* target languages: nso\n* OPUS readme: es-nso\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: 33.2, chr-F: 0.531" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-nso\n\n\n* source languages: es\n* target languages: nso\n* OPUS readme: es-nso\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: 33.2, chr-F: 0.531" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-nso\n\n\n* source languages: es\n* target languages: nso\n* OPUS readme: es-nso\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: 33.2, chr-F: 0.531" ]
translation	transformers	### opus-mt-es-ny * source languages: es * target languages: ny * OPUS readme: [es-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ny/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/es-ny/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ny \| 22.9 \| 0.494 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ny	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ny", "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 #es #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ny * source languages: es * target languages: ny * OPUS readme: es-ny * 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: 22.9, chr-F: 0.494	[ "### opus-mt-es-ny\n\n\n* source languages: es\n* target languages: ny\n* OPUS readme: es-ny\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: 22.9, chr-F: 0.494" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ny\n\n\n* source languages: es\n* target languages: ny\n* OPUS readme: es-ny\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: 22.9, chr-F: 0.494" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ny\n\n\n* source languages: es\n* target languages: ny\n* OPUS readme: es-ny\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: 22.9, chr-F: 0.494" ]
translation	transformers	### opus-mt-es-pag * source languages: es * target languages: pag * OPUS readme: [es-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pag/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/es-pag/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pag \| 25.3 \| 0.478 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-pag	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "pag", "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 #es #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-pag * source languages: es * target languages: pag * OPUS readme: es-pag * 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: 0.478	[ "### opus-mt-es-pag\n\n\n* source languages: es\n* target languages: pag\n* OPUS readme: es-pag\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: 0.478" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-pag\n\n\n* source languages: es\n* target languages: pag\n* OPUS readme: es-pag\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: 0.478" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-pag\n\n\n* source languages: es\n* target languages: pag\n* OPUS readme: es-pag\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: 0.478" ]
translation	transformers	### opus-mt-es-pap * source languages: es * target languages: pap * OPUS readme: [es-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pap/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/es-pap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pap \| 28.2 \| 0.486 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-pap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "pap", "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 #es #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-pap * source languages: es * target languages: pap * OPUS readme: es-pap * 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: 28.2, chr-F: 0.486	[ "### opus-mt-es-pap\n\n\n* source languages: es\n* target languages: pap\n* OPUS readme: es-pap\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: 28.2, chr-F: 0.486" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-pap\n\n\n* source languages: es\n* target languages: pap\n* OPUS readme: es-pap\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: 28.2, chr-F: 0.486" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-pap\n\n\n* source languages: es\n* target languages: pap\n* OPUS readme: es-pap\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: 28.2, chr-F: 0.486" ]
translation	transformers	### opus-mt-es-pis * source languages: es * target languages: pis * OPUS readme: [es-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pis/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/es-pis/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pis \| 27.1 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-pis	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "pis", "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 #es #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-pis * source languages: es * target languages: pis * OPUS readme: es-pis * 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: 27.1, chr-F: 0.484	[ "### opus-mt-es-pis\n\n\n* source languages: es\n* target languages: pis\n* OPUS readme: es-pis\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: 27.1, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-pis\n\n\n* source languages: es\n* target languages: pis\n* OPUS readme: es-pis\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: 27.1, chr-F: 0.484" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-pis\n\n\n* source languages: es\n* target languages: pis\n* OPUS readme: es-pis\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: 27.1, chr-F: 0.484" ]
translation	transformers	### opus-mt-es-pl * source languages: es * target languages: pl * OPUS readme: [es-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.pl \| 44.6 \| 0.649 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-pl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "pl", "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 #es #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-pl * source languages: es * target languages: pl * OPUS readme: es-pl * 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: 44.6, chr-F: 0.649	[ "### opus-mt-es-pl\n\n\n* source languages: es\n* target languages: pl\n* OPUS readme: es-pl\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: 44.6, chr-F: 0.649" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-pl\n\n\n* source languages: es\n* target languages: pl\n* OPUS readme: es-pl\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: 44.6, chr-F: 0.649" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-pl\n\n\n* source languages: es\n* target languages: pl\n* OPUS readme: es-pl\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: 44.6, chr-F: 0.649" ]
translation	transformers	### opus-mt-es-pon * source languages: es * target languages: pon * OPUS readme: [es-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pon/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/es-pon/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pon \| 21.6 \| 0.448 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-pon	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "pon", "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 #es #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-pon * source languages: es * target languages: pon * OPUS readme: es-pon * 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: 21.6, chr-F: 0.448	[ "### opus-mt-es-pon\n\n\n* source languages: es\n* target languages: pon\n* OPUS readme: es-pon\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: 21.6, chr-F: 0.448" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-pon\n\n\n* source languages: es\n* target languages: pon\n* OPUS readme: es-pon\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: 21.6, chr-F: 0.448" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-pon\n\n\n* source languages: es\n* target languages: pon\n* OPUS readme: es-pon\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: 21.6, chr-F: 0.448" ]
translation	transformers	### opus-mt-es-prl * source languages: es * target languages: prl * OPUS readme: [es-prl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-prl/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/es-prl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.prl \| 92.2 \| 0.950 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-prl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "prl", "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 #es #prl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-prl * source languages: es * target languages: prl * OPUS readme: es-prl * 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: 92.2, chr-F: 0.950	[ "### opus-mt-es-prl\n\n\n* source languages: es\n* target languages: prl\n* OPUS readme: es-prl\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: 92.2, chr-F: 0.950" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #prl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-prl\n\n\n* source languages: es\n* target languages: prl\n* OPUS readme: es-prl\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: 92.2, chr-F: 0.950" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #prl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-prl\n\n\n* source languages: es\n* target languages: prl\n* OPUS readme: es-prl\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: 92.2, chr-F: 0.950" ]
translation	transformers	### spa-run * source group: Spanish * target group: Rundi * OPUS readme: [spa-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md) * model: transformer-align * source language(s): spa * target language(s): run * 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/spa-run/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.run \| 10.1 \| 0.410 \| ### System Info: - hf_name: spa-run - source_languages: spa - target_languages: run - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'rn'] - src_constituents: {'spa'} - tgt_constituents: {'run'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt - src_alpha3: spa - tgt_alpha3: run - short_pair: es-rn - chrF2_score: 0.41 - bleu: 10.1 - brevity_penalty: 1.0 - ref_len: 3886.0 - src_name: Spanish - tgt_name: Rundi - train_date: 2020-06-16 - src_alpha2: es - tgt_alpha2: rn - prefer_old: False - long_pair: spa-run - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "rn"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-rn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "rn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "rn" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #rn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-run * source group: Spanish * target group: Rundi * OPUS readme: spa-run * model: transformer-align * source language(s): spa * target language(s): run * 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: 10.1, chr-F: 0.410 ### System Info: * hf\_name: spa-run * source\_languages: spa * target\_languages: run * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'rn'] * src\_constituents: {'spa'} * tgt\_constituents: {'run'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: run * short\_pair: es-rn * chrF2\_score: 0.41 * bleu: 10.1 * brevity\_penalty: 1.0 * ref\_len: 3886.0 * src\_name: Spanish * tgt\_name: Rundi * train\_date: 2020-06-16 * src\_alpha2: es * tgt\_alpha2: rn * prefer\_old: False * long\_pair: spa-run * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-run\n\n\n* source group: Spanish\n* target group: Rundi\n* OPUS readme: spa-run\n* model: transformer-align\n* source language(s): spa\n* target language(s): run\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: 10.1, chr-F: 0.410", "### System Info:\n\n\n* hf\\_name: spa-run\n* source\\_languages: spa\n* target\\_languages: run\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'rn']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'run'}\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: spa\n* tgt\\_alpha3: run\n* short\\_pair: es-rn\n* chrF2\\_score: 0.41\n* bleu: 10.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 3886.0\n* src\\_name: Spanish\n* tgt\\_name: Rundi\n* train\\_date: 2020-06-16\n* src\\_alpha2: es\n* tgt\\_alpha2: rn\n* prefer\\_old: False\n* long\\_pair: spa-run\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 #es #rn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-run\n\n\n* source group: Spanish\n* target group: Rundi\n* OPUS readme: spa-run\n* model: transformer-align\n* source language(s): spa\n* target language(s): run\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: 10.1, chr-F: 0.410", "### System Info:\n\n\n* hf\\_name: spa-run\n* source\\_languages: spa\n* target\\_languages: run\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'rn']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'run'}\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: spa\n* tgt\\_alpha3: run\n* short\\_pair: es-rn\n* chrF2\\_score: 0.41\n* bleu: 10.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 3886.0\n* src\\_name: Spanish\n* tgt\\_name: Rundi\n* train\\_date: 2020-06-16\n* src\\_alpha2: es\n* tgt\\_alpha2: rn\n* prefer\\_old: False\n* long\\_pair: spa-run\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 #es #rn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-run\n\n\n* source group: Spanish\n* target group: Rundi\n* OPUS readme: spa-run\n* model: transformer-align\n* source language(s): spa\n* target language(s): run\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: 10.1, chr-F: 0.410### System Info:\n\n\n* hf\\_name: spa-run\n* source\\_languages: spa\n* target\\_languages: run\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'rn']\n* src\\_constituents: {'spa'}\n* tgt\\_constituents: {'run'}\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: spa\n* tgt\\_alpha3: run\n* short\\_pair: es-rn\n* chrF2\\_score: 0.41\n* bleu: 10.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 3886.0\n* src\\_name: Spanish\n* tgt\\_name: Rundi\n* train\\_date: 2020-06-16\n* src\\_alpha2: es\n* tgt\\_alpha2: rn\n* prefer\\_old: False\n* long\\_pair: spa-run\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-es-ro * source languages: es * target languages: ro * OPUS readme: [es-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.ro \| 45.7 \| 0.666 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ro	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ro", "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 #es #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ro * source languages: es * target languages: ro * OPUS readme: es-ro * 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: 0.666	[ "### opus-mt-es-ro\n\n\n* source languages: es\n* target languages: ro\n* OPUS readme: es-ro\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: 0.666" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ro\n\n\n* source languages: es\n* target languages: ro\n* OPUS readme: es-ro\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: 0.666" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ro\n\n\n* source languages: es\n* target languages: ro\n* OPUS readme: es-ro\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: 0.666" ]
translation	transformers	### opus-mt-es-ru * source languages: es * target languages: ru * OPUS readme: [es-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ru/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2012.es.ru \| 20.9 \| 0.489 \| \| newstest2013.es.ru \| 23.4 \| 0.504 \| \| Tatoeba.es.ru \| 47.0 \| 0.657 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ru", "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 #es #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ru * source languages: es * target languages: ru * OPUS readme: es-ru * 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: 20.9, chr-F: 0.489 testset: URL, BLEU: 23.4, chr-F: 0.504 testset: URL, BLEU: 47.0, chr-F: 0.657	[ "### opus-mt-es-ru\n\n\n* source languages: es\n* target languages: ru\n* OPUS readme: es-ru\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: 20.9, chr-F: 0.489\ntestset: URL, BLEU: 23.4, chr-F: 0.504\ntestset: URL, BLEU: 47.0, chr-F: 0.657" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ru\n\n\n* source languages: es\n* target languages: ru\n* OPUS readme: es-ru\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: 20.9, chr-F: 0.489\ntestset: URL, BLEU: 23.4, chr-F: 0.504\ntestset: URL, BLEU: 47.0, chr-F: 0.657" ]	[ 51, 152 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ru\n\n\n* source languages: es\n* target languages: ru\n* OPUS readme: es-ru\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: 20.9, chr-F: 0.489\ntestset: URL, BLEU: 23.4, chr-F: 0.504\ntestset: URL, BLEU: 47.0, chr-F: 0.657" ]
translation	transformers	### opus-mt-es-rw * source languages: es * target languages: rw * OPUS readme: [es-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-rw/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/es-rw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.rw \| 22.6 \| 0.472 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-rw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "rw", "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 #es #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-rw * source languages: es * target languages: rw * OPUS readme: es-rw * 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: 22.6, chr-F: 0.472	[ "### opus-mt-es-rw\n\n\n* source languages: es\n* target languages: rw\n* OPUS readme: es-rw\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: 22.6, chr-F: 0.472" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-rw\n\n\n* source languages: es\n* target languages: rw\n* OPUS readme: es-rw\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: 22.6, chr-F: 0.472" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-rw\n\n\n* source languages: es\n* target languages: rw\n* OPUS readme: es-rw\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: 22.6, chr-F: 0.472" ]
translation	transformers	### opus-mt-es-sg * source languages: es * target languages: sg * OPUS readme: [es-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sg/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/es-sg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sg \| 24.8 \| 0.435 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-sg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "sg", "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 #es #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-sg * source languages: es * target languages: sg * OPUS readme: es-sg * 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: 24.8, chr-F: 0.435	[ "### opus-mt-es-sg\n\n\n* source languages: es\n* target languages: sg\n* OPUS readme: es-sg\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: 24.8, chr-F: 0.435" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-sg\n\n\n* source languages: es\n* target languages: sg\n* OPUS readme: es-sg\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: 24.8, chr-F: 0.435" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-sg\n\n\n* source languages: es\n* target languages: sg\n* OPUS readme: es-sg\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: 24.8, chr-F: 0.435" ]
translation	transformers	### opus-mt-es-sl * source languages: es * target languages: sl * OPUS readme: [es-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sl \| 21.7 \| 0.455 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-sl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "sl", "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 #es #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-sl * source languages: es * target languages: sl * OPUS readme: es-sl * 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: 21.7, chr-F: 0.455	[ "### opus-mt-es-sl\n\n\n* source languages: es\n* target languages: sl\n* OPUS readme: es-sl\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: 21.7, chr-F: 0.455" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-sl\n\n\n* source languages: es\n* target languages: sl\n* OPUS readme: es-sl\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: 21.7, chr-F: 0.455" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-sl\n\n\n* source languages: es\n* target languages: sl\n* OPUS readme: es-sl\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: 21.7, chr-F: 0.455" ]
translation	transformers	### opus-mt-es-sm * source languages: es * target languages: sm * OPUS readme: [es-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sm/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/es-sm/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sm \| 25.5 \| 0.450 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-sm	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "sm", "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 #es #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-sm * source languages: es * target languages: sm * OPUS readme: es-sm * 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: 25.5, chr-F: 0.450	[ "### opus-mt-es-sm\n\n\n* source languages: es\n* target languages: sm\n* OPUS readme: es-sm\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: 25.5, chr-F: 0.450" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-sm\n\n\n* source languages: es\n* target languages: sm\n* OPUS readme: es-sm\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: 25.5, chr-F: 0.450" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-sm\n\n\n* source languages: es\n* target languages: sm\n* OPUS readme: es-sm\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: 25.5, chr-F: 0.450" ]
translation	transformers	### opus-mt-es-sn * source languages: es * target languages: sn * OPUS readme: [es-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sn/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/es-sn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sn \| 23.6 \| 0.528 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-sn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "sn", "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 #es #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-sn * source languages: es * target languages: sn * OPUS readme: es-sn * 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: 23.6, chr-F: 0.528	[ "### opus-mt-es-sn\n\n\n* source languages: es\n* target languages: sn\n* OPUS readme: es-sn\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: 23.6, chr-F: 0.528" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-sn\n\n\n* source languages: es\n* target languages: sn\n* OPUS readme: es-sn\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: 23.6, chr-F: 0.528" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-sn\n\n\n* source languages: es\n* target languages: sn\n* OPUS readme: es-sn\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: 23.6, chr-F: 0.528" ]
translation	transformers	### opus-mt-es-srn * source languages: es * target languages: srn * OPUS readme: [es-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-srn/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/es-srn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.srn \| 28.7 \| 0.487 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-srn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "srn", "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 #es #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-srn * source languages: es * target languages: srn * OPUS readme: es-srn * 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: 28.7, chr-F: 0.487	[ "### opus-mt-es-srn\n\n\n* source languages: es\n* target languages: srn\n* OPUS readme: es-srn\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: 28.7, chr-F: 0.487" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-srn\n\n\n* source languages: es\n* target languages: srn\n* OPUS readme: es-srn\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: 28.7, chr-F: 0.487" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-srn\n\n\n* source languages: es\n* target languages: srn\n* OPUS readme: es-srn\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: 28.7, chr-F: 0.487" ]
translation	transformers	### opus-mt-es-st * source languages: es * target languages: st * OPUS readme: [es-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-st/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/es-st/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.st \| 35.5 \| 0.556 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-st	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "st", "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 #es #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-st * source languages: es * target languages: st * OPUS readme: es-st * 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: 35.5, chr-F: 0.556	[ "### opus-mt-es-st\n\n\n* source languages: es\n* target languages: st\n* OPUS readme: es-st\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: 35.5, chr-F: 0.556" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-st\n\n\n* source languages: es\n* target languages: st\n* OPUS readme: es-st\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: 35.5, chr-F: 0.556" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-st\n\n\n* source languages: es\n* target languages: st\n* OPUS readme: es-st\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: 35.5, chr-F: 0.556" ]
translation	transformers	### opus-mt-es-swc * source languages: es * target languages: swc * OPUS readme: [es-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-swc/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/es-swc/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.swc \| 26.0 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-swc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "swc", "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 #es #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-swc * source languages: es * target languages: swc * OPUS readme: es-swc * 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: 26.0, chr-F: 0.490	[ "### opus-mt-es-swc\n\n\n* source languages: es\n* target languages: swc\n* OPUS readme: es-swc\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: 26.0, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-swc\n\n\n* source languages: es\n* target languages: swc\n* OPUS readme: es-swc\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: 26.0, chr-F: 0.490" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-swc\n\n\n* source languages: es\n* target languages: swc\n* OPUS readme: es-swc\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: 26.0, chr-F: 0.490" ]
translation	transformers	### spa-tgl * source group: Spanish * target group: Tagalog * OPUS readme: [spa-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md) * model: transformer-align * source language(s): spa * 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/spa-tgl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.tgl \| 24.7 \| 0.538 \| ### System Info: - hf_name: spa-tgl - source_languages: spa - target_languages: tgl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'tl'] - src_constituents: {'spa'} - 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/spa-tgl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: tgl - short_pair: es-tl - chrF2_score: 0.5379999999999999 - bleu: 24.7 - brevity_penalty: 1.0 - ref_len: 4422.0 - src_name: Spanish - tgt_name: Tagalog - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: tl - prefer_old: False - long_pair: spa-tgl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "tl"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "tl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-tgl * source group: Spanish * target group: Tagalog * OPUS readme: spa-tgl * model: transformer-align * source language(s): spa * 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: 24.7, chr-F: 0.538 ### System Info: * hf\_name: spa-tgl * source\_languages: spa * target\_languages: tgl * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'tl'] * src\_constituents: {'spa'} * tgt\_constituents: {'tgl\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: tgl * short\_pair: es-tl * chrF2\_score: 0.5379999999999999 * bleu: 24.7 * brevity\_penalty: 1.0 * ref\_len: 4422.0 * src\_name: Spanish * tgt\_name: Tagalog * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: tl * prefer\_old: False * long\_pair: spa-tgl * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-tgl\n\n\n* source group: Spanish\n* target group: Tagalog\n* OPUS readme: spa-tgl\n* model: transformer-align\n* source language(s): spa\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: 24.7, chr-F: 0.538", "### System Info:\n\n\n* hf\\_name: spa-tgl\n* source\\_languages: spa\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'tl']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: tgl\n* short\\_pair: es-tl\n* chrF2\\_score: 0.5379999999999999\n* bleu: 24.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4422.0\n* src\\_name: Spanish\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: spa-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 #es #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-tgl\n\n\n* source group: Spanish\n* target group: Tagalog\n* OPUS readme: spa-tgl\n* model: transformer-align\n* source language(s): spa\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: 24.7, chr-F: 0.538", "### System Info:\n\n\n* hf\\_name: spa-tgl\n* source\\_languages: spa\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'tl']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: tgl\n* short\\_pair: es-tl\n* chrF2\\_score: 0.5379999999999999\n* bleu: 24.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4422.0\n* src\\_name: Spanish\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: spa-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, 418 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-tgl\n\n\n* source group: Spanish\n* target group: Tagalog\n* OPUS readme: spa-tgl\n* model: transformer-align\n* source language(s): spa\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: 24.7, chr-F: 0.538### System Info:\n\n\n* hf\\_name: spa-tgl\n* source\\_languages: spa\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'tl']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: tgl\n* short\\_pair: es-tl\n* chrF2\\_score: 0.5379999999999999\n* bleu: 24.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4422.0\n* src\\_name: Spanish\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: spa-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	### opus-mt-es-tll * source languages: es * target languages: tll * OPUS readme: [es-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tll/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/es-tll/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tll \| 20.7 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tll	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tll", "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 #es #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-tll * source languages: es * target languages: tll * OPUS readme: es-tll * 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: 20.7, chr-F: 0.434	[ "### opus-mt-es-tll\n\n\n* source languages: es\n* target languages: tll\n* OPUS readme: es-tll\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: 20.7, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-tll\n\n\n* source languages: es\n* target languages: tll\n* OPUS readme: es-tll\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: 20.7, chr-F: 0.434" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-tll\n\n\n* source languages: es\n* target languages: tll\n* OPUS readme: es-tll\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: 20.7, chr-F: 0.434" ]
translation	transformers	### opus-mt-es-tn * source languages: es * target languages: tn * OPUS readme: [es-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tn/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/es-tn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tn \| 32.2 \| 0.528 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tn", "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 #es #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-tn * source languages: es * target languages: tn * OPUS readme: es-tn * 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: 0.528	[ "### opus-mt-es-tn\n\n\n* source languages: es\n* target languages: tn\n* OPUS readme: es-tn\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: 0.528" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-tn\n\n\n* source languages: es\n* target languages: tn\n* OPUS readme: es-tn\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: 0.528" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-tn\n\n\n* source languages: es\n* target languages: tn\n* OPUS readme: es-tn\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: 0.528" ]
translation	transformers	### opus-mt-es-to * source languages: es * target languages: to * OPUS readme: [es-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-to/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/es-to/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.to \| 35.7 \| 0.510 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-to	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "to", "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 #es #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-to * source languages: es * target languages: to * OPUS readme: es-to * 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: 35.7, chr-F: 0.510	[ "### opus-mt-es-to\n\n\n* source languages: es\n* target languages: to\n* OPUS readme: es-to\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: 35.7, chr-F: 0.510" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-to\n\n\n* source languages: es\n* target languages: to\n* OPUS readme: es-to\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: 35.7, chr-F: 0.510" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-to\n\n\n* source languages: es\n* target languages: to\n* OPUS readme: es-to\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: 35.7, chr-F: 0.510" ]
translation	transformers	### opus-mt-es-tpi * source languages: es * target languages: tpi * OPUS readme: [es-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tpi/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/es-tpi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tpi \| 27.0 \| 0.472 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tpi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tpi", "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 #es #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-tpi * source languages: es * target languages: tpi * OPUS readme: es-tpi * 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: 27.0, chr-F: 0.472	[ "### opus-mt-es-tpi\n\n\n* source languages: es\n* target languages: tpi\n* OPUS readme: es-tpi\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: 27.0, chr-F: 0.472" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-tpi\n\n\n* source languages: es\n* target languages: tpi\n* OPUS readme: es-tpi\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: 27.0, chr-F: 0.472" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-tpi\n\n\n* source languages: es\n* target languages: tpi\n* OPUS readme: es-tpi\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: 27.0, chr-F: 0.472" ]
translation	transformers	### opus-mt-es-tvl * source languages: es * target languages: tvl * OPUS readme: [es-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tvl/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/es-tvl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tvl \| 28.3 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tvl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tvl", "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 #es #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-tvl * source languages: es * target languages: tvl * OPUS readme: es-tvl * 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: 28.3, chr-F: 0.464	[ "### opus-mt-es-tvl\n\n\n* source languages: es\n* target languages: tvl\n* OPUS readme: es-tvl\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: 28.3, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-tvl\n\n\n* source languages: es\n* target languages: tvl\n* OPUS readme: es-tvl\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: 28.3, chr-F: 0.464" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-tvl\n\n\n* source languages: es\n* target languages: tvl\n* OPUS readme: es-tvl\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: 28.3, chr-F: 0.464" ]
translation	transformers	### opus-mt-es-tw * source languages: es * target languages: tw * OPUS readme: [es-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tw/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/es-tw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tw \| 26.3 \| 0.465 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tw", "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 #es #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-tw * source languages: es * target languages: tw * OPUS readme: es-tw * 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: 0.465	[ "### opus-mt-es-tw\n\n\n* source languages: es\n* target languages: tw\n* OPUS readme: es-tw\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: 0.465" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-tw\n\n\n* source languages: es\n* target languages: tw\n* OPUS readme: es-tw\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: 0.465" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-tw\n\n\n* source languages: es\n* target languages: tw\n* OPUS readme: es-tw\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: 0.465" ]
translation	transformers	### opus-mt-es-ty * source languages: es * target languages: ty * OPUS readme: [es-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ty/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/es-ty/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ty \| 37.3 \| 0.544 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ty	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ty", "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 #es #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ty * source languages: es * target languages: ty * OPUS readme: es-ty * 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: 0.544	[ "### opus-mt-es-ty\n\n\n* source languages: es\n* target languages: ty\n* OPUS readme: es-ty\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: 0.544" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ty\n\n\n* source languages: es\n* target languages: ty\n* OPUS readme: es-ty\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: 0.544" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ty\n\n\n* source languages: es\n* target languages: ty\n* OPUS readme: es-ty\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: 0.544" ]
translation	transformers	### opus-mt-es-tzo * source languages: es * target languages: tzo * OPUS readme: [es-tzo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tzo/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/es-tzo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tzo \| 22.6 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-tzo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "tzo", "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 #es #tzo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-tzo * source languages: es * target languages: tzo * OPUS readme: es-tzo * 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: 22.6, chr-F: 0.469	[ "### opus-mt-es-tzo\n\n\n* source languages: es\n* target languages: tzo\n* OPUS readme: es-tzo\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: 22.6, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tzo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-tzo\n\n\n* source languages: es\n* target languages: tzo\n* OPUS readme: es-tzo\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: 22.6, chr-F: 0.469" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #tzo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-tzo\n\n\n* source languages: es\n* target languages: tzo\n* OPUS readme: es-tzo\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: 22.6, chr-F: 0.469" ]
translation	transformers	### spa-ukr * source group: Spanish * target group: Ukrainian * OPUS readme: [spa-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md) * model: transformer-align * source language(s): spa * 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/spa-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.ukr \| 41.3 \| 0.614 \| ### System Info: - hf_name: spa-ukr - source_languages: spa - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'uk'] - src_constituents: {'spa'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: ukr - short_pair: es-uk - chrF2_score: 0.614 - bleu: 41.3 - brevity_penalty: 0.983 - ref_len: 53833.0 - src_name: Spanish - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: uk - prefer_old: False - long_pair: spa-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-ukr * source group: Spanish * target group: Ukrainian * OPUS readme: spa-ukr * model: transformer-align * source language(s): spa * 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: 41.3, chr-F: 0.614 ### System Info: * hf\_name: spa-ukr * source\_languages: spa * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'uk'] * src\_constituents: {'spa'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: spa * tgt\_alpha3: ukr * short\_pair: es-uk * chrF2\_score: 0.614 * bleu: 41.3 * brevity\_penalty: 0.983 * ref\_len: 53833.0 * src\_name: Spanish * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: uk * prefer\_old: False * long\_pair: spa-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-ukr\n\n\n* source group: Spanish\n* target group: Ukrainian\n* OPUS readme: spa-ukr\n* model: transformer-align\n* source language(s): spa\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: 41.3, chr-F: 0.614", "### System Info:\n\n\n* hf\\_name: spa-ukr\n* source\\_languages: spa\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'uk']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: ukr\n* short\\_pair: es-uk\n* chrF2\\_score: 0.614\n* bleu: 41.3\n* brevity\\_penalty: 0.983\n* ref\\_len: 53833.0\n* src\\_name: Spanish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: spa-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 #es #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-ukr\n\n\n* source group: Spanish\n* target group: Ukrainian\n* OPUS readme: spa-ukr\n* model: transformer-align\n* source language(s): spa\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: 41.3, chr-F: 0.614", "### System Info:\n\n\n* hf\\_name: spa-ukr\n* source\\_languages: spa\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'uk']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: ukr\n* short\\_pair: es-uk\n* chrF2\\_score: 0.614\n* bleu: 41.3\n* brevity\\_penalty: 0.983\n* ref\\_len: 53833.0\n* src\\_name: Spanish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: spa-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, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-ukr\n\n\n* source group: Spanish\n* target group: Ukrainian\n* OPUS readme: spa-ukr\n* model: transformer-align\n* source language(s): spa\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: 41.3, chr-F: 0.614### System Info:\n\n\n* hf\\_name: spa-ukr\n* source\\_languages: spa\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'uk']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: ukr\n* short\\_pair: es-uk\n* chrF2\\_score: 0.614\n* bleu: 41.3\n* brevity\\_penalty: 0.983\n* ref\\_len: 53833.0\n* src\\_name: Spanish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: spa-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-es-ve * source languages: es * target languages: ve * OPUS readme: [es-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ve/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/es-ve/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ve \| 21.7 \| 0.440 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-ve	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "ve", "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 #es #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-ve * source languages: es * target languages: ve * OPUS readme: es-ve * 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: 21.7, chr-F: 0.440	[ "### opus-mt-es-ve\n\n\n* source languages: es\n* target languages: ve\n* OPUS readme: es-ve\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: 21.7, chr-F: 0.440" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-ve\n\n\n* source languages: es\n* target languages: ve\n* OPUS readme: es-ve\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: 21.7, chr-F: 0.440" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-ve\n\n\n* source languages: es\n* target languages: ve\n* OPUS readme: es-ve\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: 21.7, chr-F: 0.440" ]
translation	transformers	### spa-vie * source group: Spanish * target group: Vietnamese * OPUS readme: [spa-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md) * model: transformer-align * source language(s): spa * 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/spa-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.vie \| 33.1 \| 0.508 \| ### System Info: - hf_name: spa-vie - source_languages: spa - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'vi'] - src_constituents: {'spa'} - 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/spa-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: vie - short_pair: es-vi - chrF2_score: 0.508 - bleu: 33.1 - brevity_penalty: 0.98 - ref_len: 4654.0 - src_name: Spanish - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: vi - prefer_old: False - long_pair: spa-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["es", "vi"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-vi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "vi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "es", "vi" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #es #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### spa-vie * source group: Spanish * target group: Vietnamese * OPUS readme: spa-vie * model: transformer-align * source language(s): spa * 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: 33.1, chr-F: 0.508 ### System Info: * hf\_name: spa-vie * source\_languages: spa * target\_languages: vie * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['es', 'vi'] * src\_constituents: {'spa'} * 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: spa * tgt\_alpha3: vie * short\_pair: es-vi * chrF2\_score: 0.508 * bleu: 33.1 * brevity\_penalty: 0.98 * ref\_len: 4654.0 * src\_name: Spanish * tgt\_name: Vietnamese * train\_date: 2020-06-17 * src\_alpha2: es * tgt\_alpha2: vi * prefer\_old: False * long\_pair: spa-vie * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### spa-vie\n\n\n* source group: Spanish\n* target group: Vietnamese\n* OPUS readme: spa-vie\n* model: transformer-align\n* source language(s): spa\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: 33.1, chr-F: 0.508", "### System Info:\n\n\n* hf\\_name: spa-vie\n* source\\_languages: spa\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'vi']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: vie\n* short\\_pair: es-vi\n* chrF2\\_score: 0.508\n* bleu: 33.1\n* brevity\\_penalty: 0.98\n* ref\\_len: 4654.0\n* src\\_name: Spanish\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: spa-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 #marian #text2text-generation #translation #es #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### spa-vie\n\n\n* source group: Spanish\n* target group: Vietnamese\n* OPUS readme: spa-vie\n* model: transformer-align\n* source language(s): spa\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: 33.1, chr-F: 0.508", "### System Info:\n\n\n* hf\\_name: spa-vie\n* source\\_languages: spa\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'vi']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: vie\n* short\\_pair: es-vi\n* chrF2\\_score: 0.508\n* bleu: 33.1\n* brevity\\_penalty: 0.98\n* ref\\_len: 4654.0\n* src\\_name: Spanish\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: spa-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 398 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### spa-vie\n\n\n* source group: Spanish\n* target group: Vietnamese\n* OPUS readme: spa-vie\n* model: transformer-align\n* source language(s): spa\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: 33.1, chr-F: 0.508### System Info:\n\n\n* hf\\_name: spa-vie\n* source\\_languages: spa\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['es', 'vi']\n* src\\_constituents: {'spa'}\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: spa\n* tgt\\_alpha3: vie\n* short\\_pair: es-vi\n* chrF2\\_score: 0.508\n* bleu: 33.1\n* brevity\\_penalty: 0.98\n* ref\\_len: 4654.0\n* src\\_name: Spanish\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: es\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: spa-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-es-war * source languages: es * target languages: war * OPUS readme: [es-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-war/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/es-war/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.war \| 31.7 \| 0.530 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-war	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "war", "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 #es #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-war * source languages: es * target languages: war * OPUS readme: es-war * 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: 31.7, chr-F: 0.530	[ "### opus-mt-es-war\n\n\n* source languages: es\n* target languages: war\n* OPUS readme: es-war\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: 31.7, chr-F: 0.530" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-war\n\n\n* source languages: es\n* target languages: war\n* OPUS readme: es-war\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: 31.7, chr-F: 0.530" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-war\n\n\n* source languages: es\n* target languages: war\n* OPUS readme: es-war\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: 31.7, chr-F: 0.530" ]
translation	transformers	### opus-mt-es-wls * source languages: es * target languages: wls * OPUS readme: [es-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-wls/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/es-wls/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.wls \| 22.9 \| 0.437 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-wls	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "wls", "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 #es #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-wls * source languages: es * target languages: wls * OPUS readme: es-wls * 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: 22.9, chr-F: 0.437	[ "### opus-mt-es-wls\n\n\n* source languages: es\n* target languages: wls\n* OPUS readme: es-wls\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: 22.9, chr-F: 0.437" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-wls\n\n\n* source languages: es\n* target languages: wls\n* OPUS readme: es-wls\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: 22.9, chr-F: 0.437" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-wls\n\n\n* source languages: es\n* target languages: wls\n* OPUS readme: es-wls\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: 22.9, chr-F: 0.437" ]
translation	transformers	### opus-mt-es-xh * source languages: es * target languages: xh * OPUS readme: [es-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-xh/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/es-xh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.xh \| 25.0 \| 0.541 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-xh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "xh", "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 #es #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-xh * source languages: es * target languages: xh * OPUS readme: es-xh * 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: 0.541	[ "### opus-mt-es-xh\n\n\n* source languages: es\n* target languages: xh\n* OPUS readme: es-xh\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: 0.541" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-xh\n\n\n* source languages: es\n* target languages: xh\n* OPUS readme: es-xh\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: 0.541" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-xh\n\n\n* source languages: es\n* target languages: xh\n* OPUS readme: es-xh\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: 0.541" ]
translation	transformers	### opus-mt-es-yo * source languages: es * target languages: yo * OPUS readme: [es-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yo/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/es-yo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.yo \| 22.3 \| 0.387 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-yo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "yo", "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 #es #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-yo * source languages: es * target languages: yo * OPUS readme: es-yo * 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: 22.3, chr-F: 0.387	[ "### opus-mt-es-yo\n\n\n* source languages: es\n* target languages: yo\n* OPUS readme: es-yo\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: 22.3, chr-F: 0.387" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-yo\n\n\n* source languages: es\n* target languages: yo\n* OPUS readme: es-yo\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: 22.3, chr-F: 0.387" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-yo\n\n\n* source languages: es\n* target languages: yo\n* OPUS readme: es-yo\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: 22.3, chr-F: 0.387" ]
translation	transformers	### opus-mt-es-yua * source languages: es * target languages: yua * OPUS readme: [es-yua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yua/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/es-yua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.yua \| 23.6 \| 0.471 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-yua	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "yua", "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 #es #yua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-yua * source languages: es * target languages: yua * OPUS readme: es-yua * 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: 23.6, chr-F: 0.471	[ "### opus-mt-es-yua\n\n\n* source languages: es\n* target languages: yua\n* OPUS readme: es-yua\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: 23.6, chr-F: 0.471" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #yua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-yua\n\n\n* source languages: es\n* target languages: yua\n* OPUS readme: es-yua\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: 23.6, chr-F: 0.471" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #yua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-yua\n\n\n* source languages: es\n* target languages: yua\n* OPUS readme: es-yua\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: 23.6, chr-F: 0.471" ]
translation	transformers	### opus-mt-es-zai * source languages: es * target languages: zai * OPUS readme: [es-zai](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-zai/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/es-zai/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.zai \| 20.8 \| 0.426 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-es-zai	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "es", "zai", "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 #es #zai #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-es-zai * source languages: es * target languages: zai * OPUS readme: es-zai * 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: 20.8, chr-F: 0.426	[ "### opus-mt-es-zai\n\n\n* source languages: es\n* target languages: zai\n* OPUS readme: es-zai\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: 20.8, chr-F: 0.426" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #zai #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-es-zai\n\n\n* source languages: es\n* target languages: zai\n* OPUS readme: es-zai\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: 20.8, chr-F: 0.426" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #es #zai #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-es-zai\n\n\n* source languages: es\n* target languages: zai\n* OPUS readme: es-zai\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: 20.8, chr-F: 0.426" ]
translation	transformers	### opus-mt-et-de * source languages: et * target languages: de * OPUS readme: [et-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.de \| 22.4 \| 0.474 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "de", "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 #et #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-et-de * source languages: et * target languages: de * OPUS readme: et-de * 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: 0.474	[ "### opus-mt-et-de\n\n\n* source languages: et\n* target languages: de\n* OPUS readme: et-de\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: 0.474" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-et-de\n\n\n* source languages: et\n* target languages: de\n* OPUS readme: et-de\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: 0.474" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-et-de\n\n\n* source languages: et\n* target languages: de\n* OPUS readme: et-de\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: 0.474" ]
translation	transformers	### opus-mt-et-en * source languages: et * target languages: en * OPUS readme: [et-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2018-enet.et.en \| 30.1 \| 0.574 \| \| newstest2018-enet.et.en \| 30.3 \| 0.581 \| \| Tatoeba.et.en \| 59.9 \| 0.738 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "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 #et #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-et-en * source languages: et * target languages: en * OPUS readme: et-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: 30.1, chr-F: 0.574 testset: URL, BLEU: 30.3, chr-F: 0.581 testset: URL, BLEU: 59.9, chr-F: 0.738	[ "### opus-mt-et-en\n\n\n* source languages: et\n* target languages: en\n* OPUS readme: et-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: 30.1, chr-F: 0.574\ntestset: URL, BLEU: 30.3, chr-F: 0.581\ntestset: URL, BLEU: 59.9, chr-F: 0.738" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-et-en\n\n\n* source languages: et\n* target languages: en\n* OPUS readme: et-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: 30.1, chr-F: 0.574\ntestset: URL, BLEU: 30.3, chr-F: 0.581\ntestset: URL, BLEU: 59.9, chr-F: 0.738" ]	[ 51, 152 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-et-en\n\n\n* source languages: et\n* target languages: en\n* OPUS readme: et-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: 30.1, chr-F: 0.574\ntestset: URL, BLEU: 30.3, chr-F: 0.581\ntestset: URL, BLEU: 59.9, chr-F: 0.738" ]
translation	transformers	### opus-mt-et-es * source languages: et * target languages: es * OPUS readme: [et-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-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/et-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.es \| 27.2 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "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 #et #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-et-es * source languages: et * target languages: es * OPUS readme: et-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: 27.2, chr-F: 0.490	[ "### opus-mt-et-es\n\n\n* source languages: et\n* target languages: es\n* OPUS readme: et-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: 27.2, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-et-es\n\n\n* source languages: et\n* target languages: es\n* OPUS readme: et-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: 27.2, chr-F: 0.490" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-et-es\n\n\n* source languages: et\n* target languages: es\n* OPUS readme: et-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: 27.2, chr-F: 0.490" ]
translation	transformers	### opus-mt-et-fi * source languages: et * target languages: fi * OPUS readme: [et-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.fi \| 26.6 \| 0.546 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "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 #et #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-et-fi * source languages: et * target languages: fi * OPUS readme: et-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: 26.6, chr-F: 0.546	[ "### opus-mt-et-fi\n\n\n* source languages: et\n* target languages: fi\n* OPUS readme: et-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: 26.6, chr-F: 0.546" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-et-fi\n\n\n* source languages: et\n* target languages: fi\n* OPUS readme: et-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: 26.6, chr-F: 0.546" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-et-fi\n\n\n* source languages: et\n* target languages: fi\n* OPUS readme: et-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: 26.6, chr-F: 0.546" ]
translation	transformers	### opus-mt-et-fr * source languages: et * target languages: fr * OPUS readme: [et-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.fr \| 26.2 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "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 #et #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-et-fr * source languages: et * target languages: fr * OPUS readme: et-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: 26.2, chr-F: 0.484	[ "### opus-mt-et-fr\n\n\n* source languages: et\n* target languages: fr\n* OPUS readme: et-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: 26.2, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-et-fr\n\n\n* source languages: et\n* target languages: fr\n* OPUS readme: et-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: 26.2, chr-F: 0.484" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-et-fr\n\n\n* source languages: et\n* target languages: fr\n* OPUS readme: et-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: 26.2, chr-F: 0.484" ]
translation	transformers	### est-rus * source group: Estonian * target group: Russian * OPUS readme: [est-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/est-rus/README.md) * model: transformer-align * source language(s): est * 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/est-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.est.rus \| 50.2 \| 0.702 \| ### System Info: - hf_name: est-rus - source_languages: est - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/est-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['et', 'ru'] - src_constituents: {'est'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.test.txt - src_alpha3: est - tgt_alpha3: rus - short_pair: et-ru - chrF2_score: 0.7020000000000001 - bleu: 50.2 - brevity_penalty: 0.988 - ref_len: 3569.0 - src_name: Estonian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: et - tgt_alpha2: ru - prefer_old: False - long_pair: est-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["et", "ru"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "et", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #et #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### est-rus * source group: Estonian * target group: Russian * OPUS readme: est-rus * model: transformer-align * source language(s): est * 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: 50.2, chr-F: 0.702 ### System Info: * hf\_name: est-rus * source\_languages: est * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['et', 'ru'] * src\_constituents: {'est'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: est * tgt\_alpha3: rus * short\_pair: et-ru * chrF2\_score: 0.7020000000000001 * bleu: 50.2 * brevity\_penalty: 0.988 * ref\_len: 3569.0 * src\_name: Estonian * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: et * tgt\_alpha2: ru * prefer\_old: False * long\_pair: est-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### est-rus\n\n\n* source group: Estonian\n* target group: Russian\n* OPUS readme: est-rus\n* model: transformer-align\n* source language(s): est\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: 50.2, chr-F: 0.702", "### System Info:\n\n\n* hf\\_name: est-rus\n* source\\_languages: est\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['et', 'ru']\n* src\\_constituents: {'est'}\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: est\n* tgt\\_alpha3: rus\n* short\\_pair: et-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 50.2\n* brevity\\_penalty: 0.988\n* ref\\_len: 3569.0\n* src\\_name: Estonian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: et\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: est-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 #et #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### est-rus\n\n\n* source group: Estonian\n* target group: Russian\n* OPUS readme: est-rus\n* model: transformer-align\n* source language(s): est\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: 50.2, chr-F: 0.702", "### System Info:\n\n\n* hf\\_name: est-rus\n* source\\_languages: est\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['et', 'ru']\n* src\\_constituents: {'est'}\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: est\n* tgt\\_alpha3: rus\n* short\\_pair: et-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 50.2\n* brevity\\_penalty: 0.988\n* ref\\_len: 3569.0\n* src\\_name: Estonian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: et\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: est-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, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### est-rus\n\n\n* source group: Estonian\n* target group: Russian\n* OPUS readme: est-rus\n* model: transformer-align\n* source language(s): est\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: 50.2, chr-F: 0.702### System Info:\n\n\n* hf\\_name: est-rus\n* source\\_languages: est\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['et', 'ru']\n* src\\_constituents: {'est'}\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: est\n* tgt\\_alpha3: rus\n* short\\_pair: et-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 50.2\n* brevity\\_penalty: 0.988\n* ref\\_len: 3569.0\n* src\\_name: Estonian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: et\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: est-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-et-sv * source languages: et * target languages: sv * OPUS readme: [et-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.sv \| 28.9 \| 0.513 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-et-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "et", "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 #et #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-et-sv * source languages: et * target languages: sv * OPUS readme: et-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: 28.9, chr-F: 0.513	[ "### opus-mt-et-sv\n\n\n* source languages: et\n* target languages: sv\n* OPUS readme: et-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: 28.9, chr-F: 0.513" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-et-sv\n\n\n* source languages: et\n* target languages: sv\n* OPUS readme: et-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: 28.9, chr-F: 0.513" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #et #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-et-sv\n\n\n* source languages: et\n* target languages: sv\n* OPUS readme: et-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: 28.9, chr-F: 0.513" ]
translation	transformers	### eus-deu * source group: Basque * target group: German * OPUS readme: [eus-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md) * model: transformer-align * source language(s): eus * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.deu \| 36.3 \| 0.562 \| ### System Info: - hf_name: eus-deu - source_languages: eus - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'de'] - src_constituents: {'eus'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt - src_alpha3: eus - tgt_alpha3: deu - short_pair: eu-de - chrF2_score: 0.562 - bleu: 36.3 - brevity_penalty: 0.953 - ref_len: 3315.0 - src_name: Basque - tgt_name: German - train_date: 2020-06-16 - src_alpha2: eu - tgt_alpha2: de - prefer_old: False - long_pair: eus-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["eu", "de"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-eu-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "eu", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "eu", "de" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #eu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eus-deu * source group: Basque * target group: German * OPUS readme: eus-deu * model: transformer-align * source language(s): eus * target language(s): deu * 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: 36.3, chr-F: 0.562 ### System Info: * hf\_name: eus-deu * source\_languages: eus * target\_languages: deu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['eu', 'de'] * src\_constituents: {'eus'} * tgt\_constituents: {'deu'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eus * tgt\_alpha3: deu * short\_pair: eu-de * chrF2\_score: 0.562 * bleu: 36.3 * brevity\_penalty: 0.953 * ref\_len: 3315.0 * src\_name: Basque * tgt\_name: German * train\_date: 2020-06-16 * src\_alpha2: eu * tgt\_alpha2: de * prefer\_old: False * long\_pair: eus-deu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eus-deu\n\n\n* source group: Basque\n* target group: German\n* OPUS readme: eus-deu\n* model: transformer-align\n* source language(s): eus\n* target language(s): deu\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: 36.3, chr-F: 0.562", "### System Info:\n\n\n* hf\\_name: eus-deu\n* source\\_languages: eus\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'de']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'deu'}\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: eus\n* tgt\\_alpha3: deu\n* short\\_pair: eu-de\n* chrF2\\_score: 0.562\n* bleu: 36.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3315.0\n* src\\_name: Basque\n* tgt\\_name: German\n* train\\_date: 2020-06-16\n* src\\_alpha2: eu\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: eus-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 #eu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eus-deu\n\n\n* source group: Basque\n* target group: German\n* OPUS readme: eus-deu\n* model: transformer-align\n* source language(s): eus\n* target language(s): deu\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: 36.3, chr-F: 0.562", "### System Info:\n\n\n* hf\\_name: eus-deu\n* source\\_languages: eus\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'de']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'deu'}\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: eus\n* tgt\\_alpha3: deu\n* short\\_pair: eu-de\n* chrF2\\_score: 0.562\n* bleu: 36.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3315.0\n* src\\_name: Basque\n* tgt\\_name: German\n* train\\_date: 2020-06-16\n* src\\_alpha2: eu\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: eus-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 137, 401 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #eu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eus-deu\n\n\n* source group: Basque\n* target group: German\n* OPUS readme: eus-deu\n* model: transformer-align\n* source language(s): eus\n* target language(s): deu\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: 36.3, chr-F: 0.562### System Info:\n\n\n* hf\\_name: eus-deu\n* source\\_languages: eus\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'de']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'deu'}\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: eus\n* tgt\\_alpha3: deu\n* short\\_pair: eu-de\n* chrF2\\_score: 0.562\n* bleu: 36.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3315.0\n* src\\_name: Basque\n* tgt\\_name: German\n* train\\_date: 2020-06-16\n* src\\_alpha2: eu\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: eus-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	### opus-mt-eu-en * source languages: eu * target languages: en * OPUS readme: [eu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eu-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.eu.en \| 46.1 \| 0.638 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-eu-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "eu", "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 #eu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-eu-en * source languages: eu * target languages: en * OPUS readme: eu-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: 46.1, chr-F: 0.638	[ "### opus-mt-eu-en\n\n\n* source languages: eu\n* target languages: en\n* OPUS readme: eu-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: 46.1, chr-F: 0.638" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #eu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-eu-en\n\n\n* source languages: eu\n* target languages: en\n* OPUS readme: eu-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: 46.1, chr-F: 0.638" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #eu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-eu-en\n\n\n* source languages: eu\n* target languages: en\n* OPUS readme: eu-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: 46.1, chr-F: 0.638" ]
translation	transformers	### eus-spa * source group: Basque * target group: Spanish * OPUS readme: [eus-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md) * model: transformer-align * source language(s): eus * target language(s): spa * 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/eus-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.spa \| 48.8 \| 0.673 \| ### System Info: - hf_name: eus-spa - source_languages: eus - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'es'] - src_constituents: {'eus'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt - src_alpha3: eus - tgt_alpha3: spa - short_pair: eu-es - chrF2_score: 0.6729999999999999 - bleu: 48.8 - brevity_penalty: 0.9640000000000001 - ref_len: 12469.0 - src_name: Basque - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: eu - tgt_alpha2: es - prefer_old: False - long_pair: eus-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["eu", "es"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-eu-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "eu", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "eu", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #eu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eus-spa * source group: Basque * target group: Spanish * OPUS readme: eus-spa * model: transformer-align * source language(s): eus * target language(s): spa * 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: 48.8, chr-F: 0.673 ### System Info: * hf\_name: eus-spa * source\_languages: eus * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['eu', 'es'] * src\_constituents: {'eus'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eus * tgt\_alpha3: spa * short\_pair: eu-es * chrF2\_score: 0.6729999999999999 * bleu: 48.8 * brevity\_penalty: 0.9640000000000001 * ref\_len: 12469.0 * src\_name: Basque * tgt\_name: Spanish * train\_date: 2020-06-17 * src\_alpha2: eu * tgt\_alpha2: es * prefer\_old: False * long\_pair: eus-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eus-spa\n\n\n* source group: Basque\n* target group: Spanish\n* OPUS readme: eus-spa\n* model: transformer-align\n* source language(s): eus\n* target language(s): spa\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: 48.8, chr-F: 0.673", "### System Info:\n\n\n* hf\\_name: eus-spa\n* source\\_languages: eus\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'es']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'spa'}\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: eus\n* tgt\\_alpha3: spa\n* short\\_pair: eu-es\n* chrF2\\_score: 0.6729999999999999\n* bleu: 48.8\n* brevity\\_penalty: 0.9640000000000001\n* ref\\_len: 12469.0\n* src\\_name: Basque\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: eu\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: eus-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 #eu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eus-spa\n\n\n* source group: Basque\n* target group: Spanish\n* OPUS readme: eus-spa\n* model: transformer-align\n* source language(s): eus\n* target language(s): spa\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: 48.8, chr-F: 0.673", "### System Info:\n\n\n* hf\\_name: eus-spa\n* source\\_languages: eus\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'es']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'spa'}\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: eus\n* tgt\\_alpha3: spa\n* short\\_pair: eu-es\n* chrF2\\_score: 0.6729999999999999\n* bleu: 48.8\n* brevity\\_penalty: 0.9640000000000001\n* ref\\_len: 12469.0\n* src\\_name: Basque\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: eu\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: eus-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 415 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #eu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eus-spa\n\n\n* source group: Basque\n* target group: Spanish\n* OPUS readme: eus-spa\n* model: transformer-align\n* source language(s): eus\n* target language(s): spa\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: 48.8, chr-F: 0.673### System Info:\n\n\n* hf\\_name: eus-spa\n* source\\_languages: eus\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'es']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'spa'}\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: eus\n* tgt\\_alpha3: spa\n* short\\_pair: eu-es\n* chrF2\\_score: 0.6729999999999999\n* bleu: 48.8\n* brevity\\_penalty: 0.9640000000000001\n* ref\\_len: 12469.0\n* src\\_name: Basque\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: eu\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: eus-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	### eus-rus * source group: Basque * target group: Russian * OPUS readme: [eus-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md) * model: transformer-align * source language(s): eus * 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/eus-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.rus \| 31.3 \| 0.502 \| ### System Info: - hf_name: eus-rus - source_languages: eus - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'ru'] - src_constituents: {'eus'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt - src_alpha3: eus - tgt_alpha3: rus - short_pair: eu-ru - chrF2_score: 0.502 - bleu: 31.3 - brevity_penalty: 0.9420000000000001 - ref_len: 2428.0 - src_name: Basque - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: eu - tgt_alpha2: ru - prefer_old: False - long_pair: eus-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["eu", "ru"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-eu-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "eu", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "eu", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #eu #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eus-rus * source group: Basque * target group: Russian * OPUS readme: eus-rus * model: transformer-align * source language(s): eus * 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: 31.3, chr-F: 0.502 ### System Info: * hf\_name: eus-rus * source\_languages: eus * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['eu', 'ru'] * src\_constituents: {'eus'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eus * tgt\_alpha3: rus * short\_pair: eu-ru * chrF2\_score: 0.502 * bleu: 31.3 * brevity\_penalty: 0.9420000000000001 * ref\_len: 2428.0 * src\_name: Basque * tgt\_name: Russian * train\_date: 2020-06-16 * src\_alpha2: eu * tgt\_alpha2: ru * prefer\_old: False * long\_pair: eus-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eus-rus\n\n\n* source group: Basque\n* target group: Russian\n* OPUS readme: eus-rus\n* model: transformer-align\n* source language(s): eus\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: 31.3, chr-F: 0.502", "### System Info:\n\n\n* hf\\_name: eus-rus\n* source\\_languages: eus\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'ru']\n* src\\_constituents: {'eus'}\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: eus\n* tgt\\_alpha3: rus\n* short\\_pair: eu-ru\n* chrF2\\_score: 0.502\n* bleu: 31.3\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 2428.0\n* src\\_name: Basque\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: eu\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: eus-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 #eu #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eus-rus\n\n\n* source group: Basque\n* target group: Russian\n* OPUS readme: eus-rus\n* model: transformer-align\n* source language(s): eus\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: 31.3, chr-F: 0.502", "### System Info:\n\n\n* hf\\_name: eus-rus\n* source\\_languages: eus\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'ru']\n* src\\_constituents: {'eus'}\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: eus\n* tgt\\_alpha3: rus\n* short\\_pair: eu-ru\n* chrF2\\_score: 0.502\n* bleu: 31.3\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 2428.0\n* src\\_name: Basque\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: eu\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: eus-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, 402 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #eu #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eus-rus\n\n\n* source group: Basque\n* target group: Russian\n* OPUS readme: eus-rus\n* model: transformer-align\n* source language(s): eus\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: 31.3, chr-F: 0.502### System Info:\n\n\n* hf\\_name: eus-rus\n* source\\_languages: eus\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['eu', 'ru']\n* src\\_constituents: {'eus'}\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: eus\n* tgt\\_alpha3: rus\n* short\\_pair: eu-ru\n* chrF2\\_score: 0.502\n* bleu: 31.3\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 2428.0\n* src\\_name: Basque\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: eu\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: eus-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	### euq-eng * source group: Basque (family) * target group: English * OPUS readme: [euq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md) * model: transformer * source language(s): eus * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.eng \| 41.5 \| 0.594 \| \| Tatoeba-test.eus-eng.eus.eng \| 41.5 \| 0.594 \| ### System Info: - hf_name: euq-eng - source_languages: euq - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['euq', 'en'] - src_constituents: {'eus'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt - src_alpha3: euq - tgt_alpha3: eng - short_pair: euq-en - chrF2_score: 0.594 - bleu: 41.5 - brevity_penalty: 0.9640000000000001 - ref_len: 8157.0 - src_name: Basque (family) - tgt_name: English - train_date: 2020-07-26 - src_alpha2: euq - tgt_alpha2: en - prefer_old: False - long_pair: euq-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["euq", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-euq-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "euq", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "euq", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #euq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### euq-eng * source group: Basque (family) * target group: English * OPUS readme: euq-eng * model: transformer * source language(s): eus * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.5, chr-F: 0.594 testset: URL, BLEU: 41.5, chr-F: 0.594 ### System Info: * hf\_name: euq-eng * source\_languages: euq * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['euq', 'en'] * src\_constituents: {'eus'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: euq * tgt\_alpha3: eng * short\_pair: euq-en * chrF2\_score: 0.594 * bleu: 41.5 * brevity\_penalty: 0.9640000000000001 * ref\_len: 8157.0 * src\_name: Basque (family) * tgt\_name: English * train\_date: 2020-07-26 * src\_alpha2: euq * tgt\_alpha2: en * prefer\_old: False * long\_pair: euq-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### euq-eng\n\n\n* source group: Basque (family)\n* target group: English\n* OPUS readme: euq-eng\n* model: transformer\n* source language(s): eus\n* target language(s): eng\n* model: transformer\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: 41.5, chr-F: 0.594\ntestset: URL, BLEU: 41.5, chr-F: 0.594", "### System Info:\n\n\n* hf\\_name: euq-eng\n* source\\_languages: euq\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['euq', 'en']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'eng'}\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: euq\n* tgt\\_alpha3: eng\n* short\\_pair: euq-en\n* chrF2\\_score: 0.594\n* bleu: 41.5\n* brevity\\_penalty: 0.9640000000000001\n* ref\\_len: 8157.0\n* src\\_name: Basque (family)\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: euq\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: euq-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 #euq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### euq-eng\n\n\n* source group: Basque (family)\n* target group: English\n* OPUS readme: euq-eng\n* model: transformer\n* source language(s): eus\n* target language(s): eng\n* model: transformer\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: 41.5, chr-F: 0.594\ntestset: URL, BLEU: 41.5, chr-F: 0.594", "### System Info:\n\n\n* hf\\_name: euq-eng\n* source\\_languages: euq\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['euq', 'en']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'eng'}\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: euq\n* tgt\\_alpha3: eng\n* short\\_pair: euq-en\n* chrF2\\_score: 0.594\n* bleu: 41.5\n* brevity\\_penalty: 0.9640000000000001\n* ref\\_len: 8157.0\n* src\\_name: Basque (family)\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: euq\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: euq-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 156, 408 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #euq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### euq-eng\n\n\n* source group: Basque (family)\n* target group: English\n* OPUS readme: euq-eng\n* model: transformer\n* source language(s): eus\n* target language(s): eng\n* model: transformer\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: 41.5, chr-F: 0.594\ntestset: URL, BLEU: 41.5, chr-F: 0.594### System Info:\n\n\n* hf\\_name: euq-eng\n* source\\_languages: euq\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['euq', 'en']\n* src\\_constituents: {'eus'}\n* tgt\\_constituents: {'eng'}\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: euq\n* tgt\\_alpha3: eng\n* short\\_pair: euq-en\n* chrF2\\_score: 0.594\n* bleu: 41.5\n* brevity\\_penalty: 0.9640000000000001\n* ref\\_len: 8157.0\n* src\\_name: Basque (family)\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: euq\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: euq-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-fi-NORWAY * source languages: fi * target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no * OPUS readme: [fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-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/fi-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/fi-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/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.no \| 34.2 \| 0.545 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-NORWAY	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-NORWAY * source languages: fi * target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no * OPUS readme: fi-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: 34.2, chr-F: 0.545	[ "### opus-mt-fi-NORWAY\n\n\n* source languages: fi\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: fi-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: 34.2, chr-F: 0.545" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-NORWAY\n\n\n* source languages: fi\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: fi-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: 34.2, chr-F: 0.545" ]	[ 51, 187 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-NORWAY\n\n\n* source languages: fi\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: fi-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: 34.2, chr-F: 0.545" ]
translation	transformers	### opus-mt-fi-ZH * source languages: fi * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [fi-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/fi-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/fi-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/fi-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/fi-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.fi.zh \| 23.4 \| 0.326 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ZH	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ZH * source languages: fi * target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh * OPUS readme: fi-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: 23.4, chr-F: 0.326	[ "### opus-mt-fi-ZH\n\n\n* source languages: fi\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: fi-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: 23.4, chr-F: 0.326" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ZH\n\n\n* source languages: fi\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: fi-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: 23.4, chr-F: 0.326" ]	[ 52, 249 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ZH\n\n\n* source languages: fi\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: fi-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: 23.4, chr-F: 0.326" ]
translation	transformers	### opus-mt-fi-af * source languages: fi * target languages: af * OPUS readme: [fi-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.af \| 39.3 \| 0.588 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-af	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-af * source languages: fi * target languages: af * OPUS readme: fi-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: 39.3, chr-F: 0.588	[ "### opus-mt-fi-af\n\n\n* source languages: fi\n* target languages: af\n* OPUS readme: fi-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: 39.3, chr-F: 0.588" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-af\n\n\n* source languages: fi\n* target languages: af\n* OPUS readme: fi-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: 39.3, chr-F: 0.588" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-af\n\n\n* source languages: fi\n* target languages: af\n* OPUS readme: fi-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: 39.3, chr-F: 0.588" ]

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