Datasets:

ftopal
/

huggingface-models-processed

Dataset card Data Studio Files Files and versions Community

Split (1)

train · 320k rows

pipeline_tag stringclasses 48 values	library_name stringclasses 198 values	text stringlengths 1 900k	metadata stringlengths 2 438k	id stringlengths 5 122	last_modified null	tags sequencelengths 1 1.84k	sha null	created_at stringlengths 25 25	arxiv sequencelengths 0 201	languages sequencelengths 0 1.83k	tags_str stringlengths 17 9.34k	text_str stringlengths 0 389k	text_lists sequencelengths 0 722	processed_texts sequencelengths 1 723	tokens_length sequencelengths 1 723	input_texts sequencelengths 1 1
translation	transformers	### opus-mt-fi-bcl * source languages: fi * target languages: bcl * OPUS readme: [fi-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bcl/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-bcl/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bcl \| 38.4 \| 0.604 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-bcl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "bcl", "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 #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-bcl * source languages: fi * target languages: bcl * OPUS readme: fi-bcl * 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: 38.4, chr-F: 0.604	[ "### opus-mt-fi-bcl\n\n\n* source languages: fi\n* target languages: bcl\n* OPUS readme: fi-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.4, chr-F: 0.604" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-bcl\n\n\n* source languages: fi\n* target languages: bcl\n* OPUS readme: fi-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.4, chr-F: 0.604" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-bcl\n\n\n* source languages: fi\n* target languages: bcl\n* OPUS readme: fi-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.4, chr-F: 0.604" ]
translation	transformers	### opus-mt-fi-bem * source languages: fi * target languages: bem * OPUS readme: [fi-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bem/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-bem/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bem \| 21.4 \| 0.465 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-bem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "bem", "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 #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-bem * source languages: fi * target languages: bem * OPUS readme: fi-bem * 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: 21.4, chr-F: 0.465	[ "### opus-mt-fi-bem\n\n\n* source languages: fi\n* target languages: bem\n* OPUS readme: fi-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.465" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-bem\n\n\n* source languages: fi\n* target languages: bem\n* OPUS readme: fi-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.465" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-bem\n\n\n* source languages: fi\n* target languages: bem\n* OPUS readme: fi-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.465" ]
translation	transformers	### opus-mt-fi-bg * source languages: fi * target languages: bg * OPUS readme: [fi-bg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bg/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-bg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bg \| 27.8 \| 0.502 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-bg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "bg", "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 #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-bg * source languages: fi * target languages: bg * OPUS readme: fi-bg * 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: 0.502	[ "### opus-mt-fi-bg\n\n\n* source languages: fi\n* target languages: bg\n* OPUS readme: fi-bg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.502" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-bg\n\n\n* source languages: fi\n* target languages: bg\n* OPUS readme: fi-bg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.502" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-bg\n\n\n* source languages: fi\n* target languages: bg\n* OPUS readme: fi-bg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.502" ]
translation	transformers	### opus-mt-fi-bzs * source languages: fi * target languages: bzs * OPUS readme: [fi-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bzs/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-bzs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bzs \| 27.2 \| 0.459 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-bzs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-bzs * source languages: fi * target languages: bzs * OPUS readme: fi-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: 27.2, chr-F: 0.459	[ "### opus-mt-fi-bzs\n\n\n* source languages: fi\n* target languages: bzs\n* OPUS readme: fi-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: 27.2, chr-F: 0.459" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-bzs\n\n\n* source languages: fi\n* target languages: bzs\n* OPUS readme: fi-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: 27.2, chr-F: 0.459" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-bzs\n\n\n* source languages: fi\n* target languages: bzs\n* OPUS readme: fi-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: 27.2, chr-F: 0.459" ]
translation	transformers	### opus-mt-fi-ceb * source languages: fi * target languages: ceb * OPUS readme: [fi-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ceb/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-ceb/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ceb \| 35.1 \| 0.581 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ceb	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ceb * source languages: fi * target languages: ceb * OPUS readme: fi-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: 35.1, chr-F: 0.581	[ "### opus-mt-fi-ceb\n\n\n* source languages: fi\n* target languages: ceb\n* OPUS readme: fi-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: 35.1, chr-F: 0.581" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ceb\n\n\n* source languages: fi\n* target languages: ceb\n* OPUS readme: fi-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: 35.1, chr-F: 0.581" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ceb\n\n\n* source languages: fi\n* target languages: ceb\n* OPUS readme: fi-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: 35.1, chr-F: 0.581" ]
translation	transformers	### opus-mt-fi-crs * source languages: fi * target languages: crs * OPUS readme: [fi-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-crs/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-crs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.crs \| 29.6 \| 0.491 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-crs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-crs * source languages: fi * target languages: crs * OPUS readme: fi-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: 29.6, chr-F: 0.491	[ "### opus-mt-fi-crs\n\n\n* source languages: fi\n* target languages: crs\n* OPUS readme: fi-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: 29.6, chr-F: 0.491" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-crs\n\n\n* source languages: fi\n* target languages: crs\n* OPUS readme: fi-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: 29.6, chr-F: 0.491" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-crs\n\n\n* source languages: fi\n* target languages: crs\n* OPUS readme: fi-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: 29.6, chr-F: 0.491" ]
translation	transformers	### opus-mt-fi-cs * source languages: fi * target languages: cs * OPUS readme: [fi-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cs/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-cs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.cs \| 25.0 \| 0.470 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-cs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-cs * source languages: fi * target languages: cs * OPUS readme: fi-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: 25.0, chr-F: 0.470	[ "### opus-mt-fi-cs\n\n\n* source languages: fi\n* target languages: cs\n* OPUS readme: fi-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: 25.0, chr-F: 0.470" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-cs\n\n\n* source languages: fi\n* target languages: cs\n* OPUS readme: fi-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: 25.0, chr-F: 0.470" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-cs\n\n\n* source languages: fi\n* target languages: cs\n* OPUS readme: fi-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: 25.0, chr-F: 0.470" ]
translation	transformers	### opus-mt-fi-de * source languages: fi * target languages: de * OPUS readme: [fi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.zip) * test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.test.txt) * test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.de \| 45.2 \| 0.637 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-de * source languages: fi * target languages: de * OPUS readme: fi-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: 45.2, chr-F: 0.637	[ "### opus-mt-fi-de\n\n\n* source languages: fi\n* target languages: de\n* OPUS readme: fi-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: 45.2, chr-F: 0.637" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-de\n\n\n* source languages: fi\n* target languages: de\n* OPUS readme: fi-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: 45.2, chr-F: 0.637" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-de\n\n\n* source languages: fi\n* target languages: de\n* OPUS readme: fi-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: 45.2, chr-F: 0.637" ]
translation	transformers	### opus-mt-fi-ee * source languages: fi * target languages: ee * OPUS readme: [fi-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ee/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/fi-ee/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ee \| 28.0 \| 0.500 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ee	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ee * source languages: fi * target languages: ee * OPUS readme: fi-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: 28.0, chr-F: 0.500	[ "### opus-mt-fi-ee\n\n\n* source languages: fi\n* target languages: ee\n* OPUS readme: fi-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: 28.0, chr-F: 0.500" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ee\n\n\n* source languages: fi\n* target languages: ee\n* OPUS readme: fi-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: 28.0, chr-F: 0.500" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ee\n\n\n* source languages: fi\n* target languages: ee\n* OPUS readme: fi-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: 28.0, chr-F: 0.500" ]
translation	transformers	### opus-mt-fi-efi * source languages: fi * target languages: efi * OPUS readme: [fi-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-efi/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-efi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.efi \| 26.6 \| 0.482 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-efi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-efi * source languages: fi * target languages: efi * OPUS readme: fi-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: 26.6, chr-F: 0.482	[ "### opus-mt-fi-efi\n\n\n* source languages: fi\n* target languages: efi\n* OPUS readme: fi-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: 26.6, chr-F: 0.482" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-efi\n\n\n* source languages: fi\n* target languages: efi\n* OPUS readme: fi-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: 26.6, chr-F: 0.482" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-efi\n\n\n* source languages: fi\n* target languages: efi\n* OPUS readme: fi-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: 26.6, chr-F: 0.482" ]
translation	transformers	### opus-mt-fi-el * source languages: fi * target languages: el * OPUS readme: [fi-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-el/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-el/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.el \| 27.1 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-el	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-el * source languages: fi * target languages: el * OPUS readme: fi-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: 27.1, chr-F: 0.490	[ "### opus-mt-fi-el\n\n\n* source languages: fi\n* target languages: el\n* OPUS readme: fi-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: 27.1, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-el\n\n\n* source languages: fi\n* target languages: el\n* OPUS readme: fi-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: 27.1, chr-F: 0.490" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-el\n\n\n* source languages: fi\n* target languages: el\n* OPUS readme: fi-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: 27.1, chr-F: 0.490" ]
translation	transformers	### fin-eng * source group: Finnish * target group: English * OPUS readme: [fin-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md) * model: transformer-align * source language(s): fin * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-08-05.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip) * test set translations: [opus-2020-08-05.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt) * test set scores: [opus-2020-08-05.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2015-enfi-fineng.fin.eng \| 25.3 \| 0.536 \| \| newstest2015-enfi-fineng.fin.eng \| 26.9 \| 0.547 \| \| newstest2016-enfi-fineng.fin.eng \| 29.0 \| 0.571 \| \| newstest2017-enfi-fineng.fin.eng \| 32.3 \| 0.594 \| \| newstest2018-enfi-fineng.fin.eng \| 23.8 \| 0.517 \| \| newstest2019-fien-fineng.fin.eng \| 29.0 \| 0.565 \| \| newstestB2016-enfi-fineng.fin.eng \| 24.5 \| 0.527 \| \| newstestB2017-enfi-fineng.fin.eng \| 27.4 \| 0.557 \| \| newstestB2017-fien-fineng.fin.eng \| 27.4 \| 0.557 \| \| Tatoeba-test.fin.eng \| 53.4 \| 0.697 \| ### System Info: - hf_name: fin-eng - source_languages: fin - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'en'] - src_constituents: {'fin'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt - src_alpha3: fin - tgt_alpha3: eng - short_pair: fi-en - chrF2_score: 0.6970000000000001 - bleu: 53.4 - brevity_penalty: 0.99 - ref_len: 74651.0 - src_name: Finnish - tgt_name: English - train_date: 2020-08-05 - src_alpha2: fi - tgt_alpha2: en - prefer_old: False - long_pair: fin-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fi", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fi", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fin-eng * source group: Finnish * target group: English * OPUS readme: fin-eng * model: transformer-align * source language(s): fin * target language(s): eng * 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: 25.3, chr-F: 0.536 testset: URL, BLEU: 26.9, chr-F: 0.547 testset: URL, BLEU: 29.0, chr-F: 0.571 testset: URL, BLEU: 32.3, chr-F: 0.594 testset: URL, BLEU: 23.8, chr-F: 0.517 testset: URL, BLEU: 29.0, chr-F: 0.565 testset: URL, BLEU: 24.5, chr-F: 0.527 testset: URL, BLEU: 27.4, chr-F: 0.557 testset: URL, BLEU: 27.4, chr-F: 0.557 testset: URL, BLEU: 53.4, chr-F: 0.697 ### System Info: * hf\_name: fin-eng * source\_languages: fin * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fi', 'en'] * src\_constituents: {'fin'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fin * tgt\_alpha3: eng * short\_pair: fi-en * chrF2\_score: 0.6970000000000001 * bleu: 53.4 * brevity\_penalty: 0.99 * ref\_len: 74651.0 * src\_name: Finnish * tgt\_name: English * train\_date: 2020-08-05 * src\_alpha2: fi * tgt\_alpha2: en * prefer\_old: False * long\_pair: fin-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fin-eng\n\n\n* source group: Finnish\n* target group: English\n* OPUS readme: fin-eng\n* model: transformer-align\n* source language(s): fin\n* target language(s): eng\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: 25.3, chr-F: 0.536\ntestset: URL, BLEU: 26.9, chr-F: 0.547\ntestset: URL, BLEU: 29.0, chr-F: 0.571\ntestset: URL, BLEU: 32.3, chr-F: 0.594\ntestset: URL, BLEU: 23.8, chr-F: 0.517\ntestset: URL, BLEU: 29.0, chr-F: 0.565\ntestset: URL, BLEU: 24.5, chr-F: 0.527\ntestset: URL, BLEU: 27.4, chr-F: 0.557\ntestset: URL, BLEU: 27.4, chr-F: 0.557\ntestset: URL, BLEU: 53.4, chr-F: 0.697", "### System Info:\n\n\n* hf\\_name: fin-eng\n* source\\_languages: fin\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'en']\n* src\\_constituents: {'fin'}\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: fin\n* tgt\\_alpha3: eng\n* short\\_pair: fi-en\n* chrF2\\_score: 0.6970000000000001\n* bleu: 53.4\n* brevity\\_penalty: 0.99\n* ref\\_len: 74651.0\n* src\\_name: Finnish\n* tgt\\_name: English\n* train\\_date: 2020-08-05\n* src\\_alpha2: fi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fin-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 #fi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fin-eng\n\n\n* source group: Finnish\n* target group: English\n* OPUS readme: fin-eng\n* model: transformer-align\n* source language(s): fin\n* target language(s): eng\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: 25.3, chr-F: 0.536\ntestset: URL, BLEU: 26.9, chr-F: 0.547\ntestset: URL, BLEU: 29.0, chr-F: 0.571\ntestset: URL, BLEU: 32.3, chr-F: 0.594\ntestset: URL, BLEU: 23.8, chr-F: 0.517\ntestset: URL, BLEU: 29.0, chr-F: 0.565\ntestset: URL, BLEU: 24.5, chr-F: 0.527\ntestset: URL, BLEU: 27.4, chr-F: 0.557\ntestset: URL, BLEU: 27.4, chr-F: 0.557\ntestset: URL, BLEU: 53.4, chr-F: 0.697", "### System Info:\n\n\n* hf\\_name: fin-eng\n* source\\_languages: fin\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'en']\n* src\\_constituents: {'fin'}\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: fin\n* tgt\\_alpha3: eng\n* short\\_pair: fi-en\n* chrF2\\_score: 0.6970000000000001\n* bleu: 53.4\n* brevity\\_penalty: 0.99\n* ref\\_len: 74651.0\n* src\\_name: Finnish\n* tgt\\_name: English\n* train\\_date: 2020-08-05\n* src\\_alpha2: fi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fin-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 338, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fin-eng\n\n\n* source group: Finnish\n* target group: English\n* OPUS readme: fin-eng\n* model: transformer-align\n* source language(s): fin\n* target language(s): eng\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: 25.3, chr-F: 0.536\ntestset: URL, BLEU: 26.9, chr-F: 0.547\ntestset: URL, BLEU: 29.0, chr-F: 0.571\ntestset: URL, BLEU: 32.3, chr-F: 0.594\ntestset: URL, BLEU: 23.8, chr-F: 0.517\ntestset: URL, BLEU: 29.0, chr-F: 0.565\ntestset: URL, BLEU: 24.5, chr-F: 0.527\ntestset: URL, BLEU: 27.4, chr-F: 0.557\ntestset: URL, BLEU: 27.4, chr-F: 0.557\ntestset: URL, BLEU: 53.4, chr-F: 0.697### System Info:\n\n\n* hf\\_name: fin-eng\n* source\\_languages: fin\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'en']\n* src\\_constituents: {'fin'}\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: fin\n* tgt\\_alpha3: eng\n* short\\_pair: fi-en\n* chrF2\\_score: 0.6970000000000001\n* bleu: 53.4\n* brevity\\_penalty: 0.99\n* ref\\_len: 74651.0\n* src\\_name: Finnish\n* tgt\\_name: English\n* train\\_date: 2020-08-05\n* src\\_alpha2: fi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fin-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	### fin-epo * source group: Finnish * target group: Esperanto * OPUS readme: [fin-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md) * model: transformer-align * source language(s): fin * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fin.epo \| 22.5 \| 0.413 \| ### System Info: - hf_name: fin-epo - source_languages: fin - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'eo'] - src_constituents: {'fin'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt - src_alpha3: fin - tgt_alpha3: epo - short_pair: fi-eo - chrF2_score: 0.413 - bleu: 22.5 - brevity_penalty: 0.9490000000000001 - ref_len: 18881.0 - src_name: Finnish - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: fi - tgt_alpha2: eo - prefer_old: False - long_pair: fin-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fi", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fi", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fi #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fin-epo * source group: Finnish * target group: Esperanto * OPUS readme: fin-epo * model: transformer-align * source language(s): fin * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.5, chr-F: 0.413 ### System Info: * hf\_name: fin-epo * source\_languages: fin * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fi', 'eo'] * src\_constituents: {'fin'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fin * tgt\_alpha3: epo * short\_pair: fi-eo * chrF2\_score: 0.413 * bleu: 22.5 * brevity\_penalty: 0.9490000000000001 * ref\_len: 18881.0 * src\_name: Finnish * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: fi * tgt\_alpha2: eo * prefer\_old: False * long\_pair: fin-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fin-epo\n\n\n* source group: Finnish\n* target group: Esperanto\n* OPUS readme: fin-epo\n* model: transformer-align\n* source language(s): fin\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.413", "### System Info:\n\n\n* hf\\_name: fin-epo\n* source\\_languages: fin\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'eo']\n* src\\_constituents: {'fin'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fin\n* tgt\\_alpha3: epo\n* short\\_pair: fi-eo\n* chrF2\\_score: 0.413\n* bleu: 22.5\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 18881.0\n* src\\_name: Finnish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: fi\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: fin-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fin-epo\n\n\n* source group: Finnish\n* target group: Esperanto\n* OPUS readme: fin-epo\n* model: transformer-align\n* source language(s): fin\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.413", "### System Info:\n\n\n* hf\\_name: fin-epo\n* source\\_languages: fin\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'eo']\n* src\\_constituents: {'fin'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fin\n* tgt\\_alpha3: epo\n* short\\_pair: fi-eo\n* chrF2\\_score: 0.413\n* bleu: 22.5\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 18881.0\n* src\\_name: Finnish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: fi\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: fin-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 136, 407 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fin-epo\n\n\n* source group: Finnish\n* target group: Esperanto\n* OPUS readme: fin-epo\n* model: transformer-align\n* source language(s): fin\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.413### System Info:\n\n\n* hf\\_name: fin-epo\n* source\\_languages: fin\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'eo']\n* src\\_constituents: {'fin'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fin\n* tgt\\_alpha3: epo\n* short\\_pair: fi-eo\n* chrF2\\_score: 0.413\n* bleu: 22.5\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 18881.0\n* src\\_name: Finnish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: fi\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: fin-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fi-es * source languages: fi * target languages: es * OPUS readme: [fi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-es/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/fi-es/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.es \| 51.5 \| 0.700 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-es * source languages: fi * target languages: es * OPUS readme: fi-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: 51.5, chr-F: 0.700	[ "### opus-mt-fi-es\n\n\n* source languages: fi\n* target languages: es\n* OPUS readme: fi-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: 51.5, chr-F: 0.700" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-es\n\n\n* source languages: fi\n* target languages: es\n* OPUS readme: fi-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: 51.5, chr-F: 0.700" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-es\n\n\n* source languages: fi\n* target languages: es\n* OPUS readme: fi-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: 51.5, chr-F: 0.700" ]
translation	transformers	### opus-mt-fi-et * source languages: fi * target languages: et * OPUS readme: [fi-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-et/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-et/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.et \| 25.2 \| 0.519 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-et	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-et * source languages: fi * target languages: et * OPUS readme: fi-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: 25.2, chr-F: 0.519	[ "### opus-mt-fi-et\n\n\n* source languages: fi\n* target languages: et\n* OPUS readme: fi-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: 25.2, chr-F: 0.519" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-et\n\n\n* source languages: fi\n* target languages: et\n* OPUS readme: fi-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: 25.2, chr-F: 0.519" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-et\n\n\n* source languages: fi\n* target languages: et\n* OPUS readme: fi-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: 25.2, chr-F: 0.519" ]
translation	transformers	### opus-mt-fi-fi * source languages: fi * target languages: fi * OPUS readme: [fi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fi/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/fi-fi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.fi \| 23.3 \| 0.554 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "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 #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-fi * source languages: fi * target languages: fi * OPUS readme: fi-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.554	[ "### opus-mt-fi-fi\n\n\n* source languages: fi\n* target languages: fi\n* OPUS readme: fi-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.554" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-fi\n\n\n* source languages: fi\n* target languages: fi\n* OPUS readme: fi-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.554" ]	[ 49, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-fi\n\n\n* source languages: fi\n* target languages: fi\n* OPUS readme: fi-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.554" ]
translation	transformers	### opus-mt-fi-fj * source languages: fi * target languages: fj * OPUS readme: [fi-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-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/fi-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.fj \| 26.6 \| 0.500 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-fj	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-fj * source languages: fi * target languages: fj * OPUS readme: fi-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: 26.6, chr-F: 0.500	[ "### opus-mt-fi-fj\n\n\n* source languages: fi\n* target languages: fj\n* OPUS readme: fi-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: 26.6, chr-F: 0.500" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-fj\n\n\n* source languages: fi\n* target languages: fj\n* OPUS readme: fi-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: 26.6, chr-F: 0.500" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-fj\n\n\n* source languages: fi\n* target languages: fj\n* OPUS readme: fi-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: 26.6, chr-F: 0.500" ]
translation	transformers	### opus-mt-fi-fr * source languages: fi * target languages: fr * OPUS readme: [fi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.fr \| 50.7 \| 0.670 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-fr * source languages: fi * target languages: fr * OPUS readme: fi-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: 50.7, chr-F: 0.670	[ "### opus-mt-fi-fr\n\n\n* source languages: fi\n* target languages: fr\n* OPUS readme: fi-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: 50.7, chr-F: 0.670" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-fr\n\n\n* source languages: fi\n* target languages: fr\n* OPUS readme: fi-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: 50.7, chr-F: 0.670" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-fr\n\n\n* source languages: fi\n* target languages: fr\n* OPUS readme: fi-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: 50.7, chr-F: 0.670" ]
translation	transformers	### opus-mt-fi-fse * source languages: fi * target languages: fse * OPUS readme: [fi-fse](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fse/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-fse/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.fse \| 81.9 \| 0.882 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-fse	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "fse", "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 #fse #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-fse * source languages: fi * target languages: fse * OPUS readme: fi-fse * 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: 81.9, chr-F: 0.882	[ "### opus-mt-fi-fse\n\n\n* source languages: fi\n* target languages: fse\n* OPUS readme: fi-fse\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 81.9, chr-F: 0.882" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #fse #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-fse\n\n\n* source languages: fi\n* target languages: fse\n* OPUS readme: fi-fse\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 81.9, chr-F: 0.882" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #fse #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-fse\n\n\n* source languages: fi\n* target languages: fse\n* OPUS readme: fi-fse\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 81.9, chr-F: 0.882" ]
translation	transformers	### opus-mt-fi-gaa * source languages: fi * target languages: gaa * OPUS readme: [fi-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-gaa/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-gaa/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-gaa/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-gaa/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.gaa \| 30.5 \| 0.514 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-gaa	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-gaa * source languages: fi * target languages: gaa * OPUS readme: fi-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: 30.5, chr-F: 0.514	[ "### opus-mt-fi-gaa\n\n\n* source languages: fi\n* target languages: gaa\n* OPUS readme: fi-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: 30.5, chr-F: 0.514" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-gaa\n\n\n* source languages: fi\n* target languages: gaa\n* OPUS readme: fi-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: 30.5, chr-F: 0.514" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-gaa\n\n\n* source languages: fi\n* target languages: gaa\n* OPUS readme: fi-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: 30.5, chr-F: 0.514" ]
translation	transformers	### opus-mt-fi-gil * source languages: fi * target languages: gil * OPUS readme: [fi-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-gil/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-gil/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-gil/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-gil/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.gil \| 28.3 \| 0.518 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-gil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-gil * source languages: fi * target languages: gil * OPUS readme: fi-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: 28.3, chr-F: 0.518	[ "### opus-mt-fi-gil\n\n\n* source languages: fi\n* target languages: gil\n* OPUS readme: fi-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: 28.3, chr-F: 0.518" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-gil\n\n\n* source languages: fi\n* target languages: gil\n* OPUS readme: fi-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: 28.3, chr-F: 0.518" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-gil\n\n\n* source languages: fi\n* target languages: gil\n* OPUS readme: fi-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: 28.3, chr-F: 0.518" ]
translation	transformers	### opus-mt-fi-guw * source languages: fi * target languages: guw * OPUS readme: [fi-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-guw/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-guw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-guw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-guw/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.guw \| 32.4 \| 0.527 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-guw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-guw * source languages: fi * target languages: guw * OPUS readme: fi-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: 32.4, chr-F: 0.527	[ "### opus-mt-fi-guw\n\n\n* source languages: fi\n* target languages: guw\n* OPUS readme: fi-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: 32.4, chr-F: 0.527" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-guw\n\n\n* source languages: fi\n* target languages: guw\n* OPUS readme: fi-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: 32.4, chr-F: 0.527" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-guw\n\n\n* source languages: fi\n* target languages: guw\n* OPUS readme: fi-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: 32.4, chr-F: 0.527" ]
translation	transformers	### opus-mt-fi-ha * source languages: fi * target languages: ha * OPUS readme: [fi-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ha/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ha/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ha/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ha \| 24.2 \| 0.461 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ha	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ha * source languages: fi * target languages: ha * OPUS readme: fi-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: 24.2, chr-F: 0.461	[ "### opus-mt-fi-ha\n\n\n* source languages: fi\n* target languages: ha\n* OPUS readme: fi-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: 24.2, chr-F: 0.461" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ha\n\n\n* source languages: fi\n* target languages: ha\n* OPUS readme: fi-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: 24.2, chr-F: 0.461" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ha\n\n\n* source languages: fi\n* target languages: ha\n* OPUS readme: fi-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: 24.2, chr-F: 0.461" ]
translation	transformers	### opus-mt-fi-he * source languages: fi * target languages: he * OPUS readme: [fi-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-he/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-he/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-he/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-he/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.he \| 20.7 \| 0.424 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-he	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "he", "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 #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-he * source languages: fi * target languages: he * OPUS readme: fi-he * 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: 0.424	[ "### opus-mt-fi-he\n\n\n* source languages: fi\n* target languages: he\n* OPUS readme: fi-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.424" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-he\n\n\n* source languages: fi\n* target languages: he\n* OPUS readme: fi-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.424" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-he\n\n\n* source languages: fi\n* target languages: he\n* OPUS readme: fi-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.424" ]
translation	transformers	### opus-mt-fi-hil * source languages: fi * target languages: hil * OPUS readme: [fi-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-hil/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hil/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hil/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.hil \| 38.7 \| 0.610 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-hil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-hil * source languages: fi * target languages: hil * OPUS readme: fi-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: 38.7, chr-F: 0.610	[ "### opus-mt-fi-hil\n\n\n* source languages: fi\n* target languages: hil\n* OPUS readme: fi-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: 38.7, chr-F: 0.610" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-hil\n\n\n* source languages: fi\n* target languages: hil\n* OPUS readme: fi-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: 38.7, chr-F: 0.610" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-hil\n\n\n* source languages: fi\n* target languages: hil\n* OPUS readme: fi-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: 38.7, chr-F: 0.610" ]
translation	transformers	### opus-mt-fi-ho * source languages: fi * target languages: ho * OPUS readme: [fi-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ho/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-ho/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ho \| 25.7 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ho	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ho * source languages: fi * target languages: ho * OPUS readme: fi-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: 25.7, chr-F: 0.496	[ "### opus-mt-fi-ho\n\n\n* source languages: fi\n* target languages: ho\n* OPUS readme: fi-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: 25.7, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ho\n\n\n* source languages: fi\n* target languages: ho\n* OPUS readme: fi-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: 25.7, chr-F: 0.496" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ho\n\n\n* source languages: fi\n* target languages: ho\n* OPUS readme: fi-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: 25.7, chr-F: 0.496" ]
translation	transformers	### opus-mt-fi-hr * source languages: fi * target languages: hr * OPUS readme: [fi-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-hr/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-hr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.hr \| 23.5 \| 0.476 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-hr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-hr * source languages: fi * target languages: hr * OPUS readme: fi-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: 23.5, chr-F: 0.476	[ "### opus-mt-fi-hr\n\n\n* source languages: fi\n* target languages: hr\n* OPUS readme: fi-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: 23.5, chr-F: 0.476" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-hr\n\n\n* source languages: fi\n* target languages: hr\n* OPUS readme: fi-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: 23.5, chr-F: 0.476" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-hr\n\n\n* source languages: fi\n* target languages: hr\n* OPUS readme: fi-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: 23.5, chr-F: 0.476" ]
translation	transformers	### opus-mt-fi-ht * source languages: fi * target languages: ht * OPUS readme: [fi-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ht/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ht/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ht/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ht \| 27.1 \| 0.453 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ht	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ht * source languages: fi * target languages: ht * OPUS readme: fi-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: 27.1, chr-F: 0.453	[ "### opus-mt-fi-ht\n\n\n* source languages: fi\n* target languages: ht\n* OPUS readme: fi-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: 27.1, chr-F: 0.453" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ht\n\n\n* source languages: fi\n* target languages: ht\n* OPUS readme: fi-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: 27.1, chr-F: 0.453" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ht\n\n\n* source languages: fi\n* target languages: ht\n* OPUS readme: fi-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: 27.1, chr-F: 0.453" ]
translation	transformers	### opus-mt-fi-hu * source languages: fi * target languages: hu * OPUS readme: [fi-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-hu/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-hu/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hu/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hu/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.hu \| 50.4 \| 0.705 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-hu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "hu", "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 #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-hu * source languages: fi * target languages: hu * OPUS readme: fi-hu * 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: 50.4, chr-F: 0.705	[ "### opus-mt-fi-hu\n\n\n* source languages: fi\n* target languages: hu\n* OPUS readme: fi-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.4, chr-F: 0.705" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-hu\n\n\n* source languages: fi\n* target languages: hu\n* OPUS readme: fi-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.4, chr-F: 0.705" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-hu\n\n\n* source languages: fi\n* target languages: hu\n* OPUS readme: fi-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.4, chr-F: 0.705" ]
translation	transformers	### opus-mt-fi-id * source languages: fi * target languages: id * OPUS readme: [fi-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-id/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-id/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-id/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-id/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.id \| 33.8 \| 0.565 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-id	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-id * source languages: fi * target languages: id * OPUS readme: fi-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: 33.8, chr-F: 0.565	[ "### opus-mt-fi-id\n\n\n* source languages: fi\n* target languages: id\n* OPUS readme: fi-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: 33.8, chr-F: 0.565" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-id\n\n\n* source languages: fi\n* target languages: id\n* OPUS readme: fi-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: 33.8, chr-F: 0.565" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-id\n\n\n* source languages: fi\n* target languages: id\n* OPUS readme: fi-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: 33.8, chr-F: 0.565" ]
translation	transformers	### opus-mt-fi-ig * source languages: fi * target languages: ig * OPUS readme: [fi-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ig/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-ig/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ig/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ig/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ig \| 28.5 \| 0.456 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ig	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ig * source languages: fi * target languages: ig * OPUS readme: fi-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: 28.5, chr-F: 0.456	[ "### opus-mt-fi-ig\n\n\n* source languages: fi\n* target languages: ig\n* OPUS readme: fi-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: 28.5, chr-F: 0.456" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ig\n\n\n* source languages: fi\n* target languages: ig\n* OPUS readme: fi-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: 28.5, chr-F: 0.456" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ig\n\n\n* source languages: fi\n* target languages: ig\n* OPUS readme: fi-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: 28.5, chr-F: 0.456" ]
translation	transformers	### opus-mt-fi-ilo * source languages: fi * target languages: ilo * OPUS readme: [fi-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ilo/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-ilo/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ilo/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ilo/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ilo \| 32.1 \| 0.558 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ilo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ilo * source languages: fi * target languages: ilo * OPUS readme: fi-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: 32.1, chr-F: 0.558	[ "### opus-mt-fi-ilo\n\n\n* source languages: fi\n* target languages: ilo\n* OPUS readme: fi-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: 32.1, chr-F: 0.558" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ilo\n\n\n* source languages: fi\n* target languages: ilo\n* OPUS readme: fi-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: 32.1, chr-F: 0.558" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ilo\n\n\n* source languages: fi\n* target languages: ilo\n* OPUS readme: fi-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: 32.1, chr-F: 0.558" ]
translation	transformers	### opus-mt-fi-is * source languages: fi * target languages: is * OPUS readme: [fi-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-is/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-is/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-is/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-is/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.is \| 25.2 \| 0.452 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-is	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "is", "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 #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-is * source languages: fi * target languages: is * OPUS readme: fi-is * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.2, chr-F: 0.452	[ "### opus-mt-fi-is\n\n\n* source languages: fi\n* target languages: is\n* OPUS readme: fi-is\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.2, chr-F: 0.452" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-is\n\n\n* source languages: fi\n* target languages: is\n* OPUS readme: fi-is\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.2, chr-F: 0.452" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-is\n\n\n* source languages: fi\n* target languages: is\n* OPUS readme: fi-is\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.2, chr-F: 0.452" ]
translation	transformers	### opus-mt-fi-iso * source languages: fi * target languages: iso * OPUS readme: [fi-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-iso/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-iso/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-iso/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-iso/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.iso \| 26.0 \| 0.439 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-iso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-iso * source languages: fi * target languages: iso * OPUS readme: fi-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: 26.0, chr-F: 0.439	[ "### opus-mt-fi-iso\n\n\n* source languages: fi\n* target languages: iso\n* OPUS readme: fi-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: 26.0, chr-F: 0.439" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-iso\n\n\n* source languages: fi\n* target languages: iso\n* OPUS readme: fi-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: 26.0, chr-F: 0.439" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-iso\n\n\n* source languages: fi\n* target languages: iso\n* OPUS readme: fi-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: 26.0, chr-F: 0.439" ]
translation	transformers	### opus-mt-fi-it * source languages: fi * target languages: it * OPUS readme: [fi-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-it/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-it/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-it/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-it/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.it \| 42.7 \| 0.657 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-it	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-it * source languages: fi * target languages: it * OPUS readme: fi-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: 42.7, chr-F: 0.657	[ "### opus-mt-fi-it\n\n\n* source languages: fi\n* target languages: it\n* OPUS readme: fi-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: 42.7, chr-F: 0.657" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-it\n\n\n* source languages: fi\n* target languages: it\n* OPUS readme: fi-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: 42.7, chr-F: 0.657" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-it\n\n\n* source languages: fi\n* target languages: it\n* OPUS readme: fi-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: 42.7, chr-F: 0.657" ]
translation	transformers	### opus-mt-fi-kg * source languages: fi * target languages: kg * OPUS readme: [fi-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-kg/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-kg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kg/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.kg \| 29.5 \| 0.535 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-kg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-kg * source languages: fi * target languages: kg * OPUS readme: fi-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: 29.5, chr-F: 0.535	[ "### opus-mt-fi-kg\n\n\n* source languages: fi\n* target languages: kg\n* OPUS readme: fi-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: 29.5, chr-F: 0.535" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-kg\n\n\n* source languages: fi\n* target languages: kg\n* OPUS readme: fi-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: 29.5, chr-F: 0.535" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-kg\n\n\n* source languages: fi\n* target languages: kg\n* OPUS readme: fi-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: 29.5, chr-F: 0.535" ]
translation	transformers	### opus-mt-fi-kqn * source languages: fi * target languages: kqn * OPUS readme: [fi-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-kqn/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-kqn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kqn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kqn/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.kqn \| 22.3 \| 0.476 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-kqn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "kqn", "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 #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-kqn * source languages: fi * target languages: kqn * OPUS readme: fi-kqn * 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: 0.476	[ "### opus-mt-fi-kqn\n\n\n* source languages: fi\n* target languages: kqn\n* OPUS readme: fi-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.476" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-kqn\n\n\n* source languages: fi\n* target languages: kqn\n* OPUS readme: fi-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.476" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-kqn\n\n\n* source languages: fi\n* target languages: kqn\n* OPUS readme: fi-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.476" ]
translation	transformers	### opus-mt-fi-lg * source languages: fi * target languages: lg * OPUS readme: [fi-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.lg \| 21.7 \| 0.473 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-lg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "lg", "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 #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-lg * source languages: fi * target languages: lg * OPUS readme: fi-lg * 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: 0.473	[ "### opus-mt-fi-lg\n\n\n* source languages: fi\n* target languages: lg\n* OPUS readme: fi-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.473" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-lg\n\n\n* source languages: fi\n* target languages: lg\n* OPUS readme: fi-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.473" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-lg\n\n\n* source languages: fi\n* target languages: lg\n* OPUS readme: fi-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.473" ]
translation	transformers	### opus-mt-fi-ln * source languages: fi * target languages: ln * OPUS readme: [fi-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ln \| 29.2 \| 0.536 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ln	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ln * source languages: fi * target languages: ln * OPUS readme: fi-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: 29.2, chr-F: 0.536	[ "### opus-mt-fi-ln\n\n\n* source languages: fi\n* target languages: ln\n* OPUS readme: fi-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: 29.2, chr-F: 0.536" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ln\n\n\n* source languages: fi\n* target languages: ln\n* OPUS readme: fi-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: 29.2, chr-F: 0.536" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ln\n\n\n* source languages: fi\n* target languages: ln\n* OPUS readme: fi-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: 29.2, chr-F: 0.536" ]
translation	transformers	### opus-mt-fi-lu * source languages: fi * target languages: lu * OPUS readme: [fi-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lu/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-lu/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.lu \| 22.9 \| 0.475 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-lu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "lu", "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 #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-lu * source languages: fi * target languages: lu * OPUS readme: fi-lu * 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: 0.475	[ "### opus-mt-fi-lu\n\n\n* source languages: fi\n* target languages: lu\n* OPUS readme: fi-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.475" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-lu\n\n\n* source languages: fi\n* target languages: lu\n* OPUS readme: fi-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.475" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-lu\n\n\n* source languages: fi\n* target languages: lu\n* OPUS readme: fi-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.475" ]
translation	transformers	### opus-mt-fi-lua * source languages: fi * target languages: lua * OPUS readme: [fi-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lua/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-lua/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lua/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lua/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.lua \| 26.6 \| 0.505 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-lua	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-lua * source languages: fi * target languages: lua * OPUS readme: fi-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: 26.6, chr-F: 0.505	[ "### opus-mt-fi-lua\n\n\n* source languages: fi\n* target languages: lua\n* OPUS readme: fi-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: 26.6, chr-F: 0.505" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-lua\n\n\n* source languages: fi\n* target languages: lua\n* OPUS readme: fi-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: 26.6, chr-F: 0.505" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-lua\n\n\n* source languages: fi\n* target languages: lua\n* OPUS readme: fi-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: 26.6, chr-F: 0.505" ]
translation	transformers	### opus-mt-fi-lue * source languages: fi * target languages: lue * OPUS readme: [fi-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lue/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-lue/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.lue \| 22.4 \| 0.497 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-lue	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "lue", "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 #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-lue * source languages: fi * target languages: lue * OPUS readme: fi-lue * 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: 0.497	[ "### opus-mt-fi-lue\n\n\n* source languages: fi\n* target languages: lue\n* OPUS readme: fi-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.497" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-lue\n\n\n* source languages: fi\n* target languages: lue\n* OPUS readme: fi-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.497" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-lue\n\n\n* source languages: fi\n* target languages: lue\n* OPUS readme: fi-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.497" ]
translation	transformers	### opus-mt-fi-lus * source languages: fi * target languages: lus * OPUS readme: [fi-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lus/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-lus/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lus/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lus/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.lus \| 26.3 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-lus	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-lus * source languages: fi * target languages: lus * OPUS readme: fi-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: 26.3, chr-F: 0.480	[ "### opus-mt-fi-lus\n\n\n* source languages: fi\n* target languages: lus\n* OPUS readme: fi-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: 26.3, chr-F: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-lus\n\n\n* source languages: fi\n* target languages: lus\n* OPUS readme: fi-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: 26.3, chr-F: 0.480" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-lus\n\n\n* source languages: fi\n* target languages: lus\n* OPUS readme: fi-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: 26.3, chr-F: 0.480" ]
translation	transformers	### opus-mt-fi-lv * source languages: fi * target languages: lv * OPUS readme: [fi-lv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lv/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-lv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.lv \| 20.6 \| 0.439 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-lv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "lv", "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 #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-lv * source languages: fi * target languages: lv * OPUS readme: fi-lv * 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: 0.439	[ "### opus-mt-fi-lv\n\n\n* source languages: fi\n* target languages: lv\n* OPUS readme: fi-lv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.439" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-lv\n\n\n* source languages: fi\n* target languages: lv\n* OPUS readme: fi-lv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.439" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-lv\n\n\n* source languages: fi\n* target languages: lv\n* OPUS readme: fi-lv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.439" ]
translation	transformers	### opus-mt-fi-mfe * source languages: fi * target languages: mfe * OPUS readme: [fi-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mfe/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mfe/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mfe/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mfe/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.mfe \| 22.6 \| 0.426 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-mfe	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "mfe", "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 #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-mfe * source languages: fi * target languages: mfe * OPUS readme: fi-mfe * 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: 0.426	[ "### opus-mt-fi-mfe\n\n\n* source languages: fi\n* target languages: mfe\n* OPUS readme: fi-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.426" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-mfe\n\n\n* source languages: fi\n* target languages: mfe\n* OPUS readme: fi-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.426" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-mfe\n\n\n* source languages: fi\n* target languages: mfe\n* OPUS readme: fi-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.426" ]
translation	transformers	### opus-mt-fi-mg * source languages: fi * target languages: mg * OPUS readme: [fi-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.mg \| 21.7 \| 0.468 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-mg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "mg", "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 #mg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-mg * source languages: fi * target languages: mg * OPUS readme: fi-mg * 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: 0.468	[ "### opus-mt-fi-mg\n\n\n* source languages: fi\n* target languages: mg\n* OPUS readme: fi-mg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.468" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-mg\n\n\n* source languages: fi\n* target languages: mg\n* OPUS readme: fi-mg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.468" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-mg\n\n\n* source languages: fi\n* target languages: mg\n* OPUS readme: fi-mg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.468" ]
translation	transformers	### opus-mt-fi-mh * source languages: fi * target languages: mh * OPUS readme: [fi-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mh/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mh/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mh/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.mh \| 20.8 \| 0.404 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-mh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "mh", "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 #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-mh * source languages: fi * target languages: mh * OPUS readme: fi-mh * 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: 0.404	[ "### opus-mt-fi-mh\n\n\n* source languages: fi\n* target languages: mh\n* OPUS readme: fi-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.404" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-mh\n\n\n* source languages: fi\n* target languages: mh\n* OPUS readme: fi-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.404" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-mh\n\n\n* source languages: fi\n* target languages: mh\n* OPUS readme: fi-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.404" ]
translation	transformers	### opus-mt-fi-mk * source languages: fi * target languages: mk * OPUS readme: [fi-mk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mk/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mk/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mk/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.mk \| 28.9 \| 0.501 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-mk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "mk", "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 #mk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-mk * source languages: fi * target languages: mk * OPUS readme: fi-mk * 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: 0.501	[ "### opus-mt-fi-mk\n\n\n* source languages: fi\n* target languages: mk\n* OPUS readme: fi-mk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.501" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-mk\n\n\n* source languages: fi\n* target languages: mk\n* OPUS readme: fi-mk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.501" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-mk\n\n\n* source languages: fi\n* target languages: mk\n* OPUS readme: fi-mk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.501" ]
translation	transformers	### opus-mt-fi-mos * source languages: fi * target languages: mos * OPUS readme: [fi-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mos/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mos/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mos/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mos/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.mos \| 21.4 \| 0.366 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-mos	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "mos", "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 #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-mos * source languages: fi * target languages: mos * OPUS readme: fi-mos * 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: 21.4, chr-F: 0.366	[ "### opus-mt-fi-mos\n\n\n* source languages: fi\n* target languages: mos\n* OPUS readme: fi-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.366" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-mos\n\n\n* source languages: fi\n* target languages: mos\n* OPUS readme: fi-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.366" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-mos\n\n\n* source languages: fi\n* target languages: mos\n* OPUS readme: fi-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.366" ]
translation	transformers	### opus-mt-fi-mt * source languages: fi * target languages: mt * OPUS readme: [fi-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mt/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-mt/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mt/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mt/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.mt \| 29.9 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-mt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-mt * source languages: fi * target languages: mt * OPUS readme: fi-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: 29.9, chr-F: 0.490	[ "### opus-mt-fi-mt\n\n\n* source languages: fi\n* target languages: mt\n* OPUS readme: fi-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: 29.9, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-mt\n\n\n* source languages: fi\n* target languages: mt\n* OPUS readme: fi-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: 29.9, chr-F: 0.490" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-mt\n\n\n* source languages: fi\n* target languages: mt\n* OPUS readme: fi-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: 29.9, chr-F: 0.490" ]
translation	transformers	### opus-mt-fi-niu * source languages: fi * target languages: niu * OPUS readme: [fi-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-niu/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-niu/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-niu/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-niu/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.niu \| 35.3 \| 0.565 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-niu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-niu * source languages: fi * target languages: niu * OPUS readme: fi-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: 35.3, chr-F: 0.565	[ "### opus-mt-fi-niu\n\n\n* source languages: fi\n* target languages: niu\n* OPUS readme: fi-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: 35.3, chr-F: 0.565" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-niu\n\n\n* source languages: fi\n* target languages: niu\n* OPUS readme: fi-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: 35.3, chr-F: 0.565" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-niu\n\n\n* source languages: fi\n* target languages: niu\n* OPUS readme: fi-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: 35.3, chr-F: 0.565" ]
translation	transformers	### opus-mt-fi-nl * source languages: fi * target languages: nl * OPUS readme: [fi-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-nl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-nl/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nl/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nl/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.nl \| 30.5 \| 0.557 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-nl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-nl * source languages: fi * target languages: nl * OPUS readme: fi-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: 30.5, chr-F: 0.557	[ "### opus-mt-fi-nl\n\n\n* source languages: fi\n* target languages: nl\n* OPUS readme: fi-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: 30.5, chr-F: 0.557" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-nl\n\n\n* source languages: fi\n* target languages: nl\n* OPUS readme: fi-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: 30.5, chr-F: 0.557" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-nl\n\n\n* source languages: fi\n* target languages: nl\n* OPUS readme: fi-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: 30.5, chr-F: 0.557" ]
translation	transformers	### fin-nor * source group: Finnish * target group: Norwegian * OPUS readme: [fin-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-nor/README.md) * model: transformer-align * source language(s): fin * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fin.nor \| 23.5 \| 0.426 \| ### System Info: - hf_name: fin-nor - source_languages: fin - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'no'] - src_constituents: {'fin'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-nor/opus-2020-06-17.test.txt - src_alpha3: fin - tgt_alpha3: nor - short_pair: fi-no - chrF2_score: 0.426 - bleu: 23.5 - brevity_penalty: 1.0 - ref_len: 14768.0 - src_name: Finnish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: fi - tgt_alpha2: no - prefer_old: False - long_pair: fin-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fi", false], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-no	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	[]	[ "fi", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fi #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fin-nor * source group: Finnish * target group: Norwegian * OPUS readme: fin-nor * model: transformer-align * source language(s): fin * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.5, chr-F: 0.426 ### System Info: * hf\_name: fin-nor * source\_languages: fin * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fi', 'no'] * src\_constituents: {'fin'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fin * tgt\_alpha3: nor * short\_pair: fi-no * chrF2\_score: 0.426 * bleu: 23.5 * brevity\_penalty: 1.0 * ref\_len: 14768.0 * src\_name: Finnish * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: fi * tgt\_alpha2: no * prefer\_old: False * long\_pair: fin-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fin-nor\n\n\n* source group: Finnish\n* target group: Norwegian\n* OPUS readme: fin-nor\n* model: transformer-align\n* source language(s): fin\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.426", "### System Info:\n\n\n* hf\\_name: fin-nor\n* source\\_languages: fin\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'no']\n* src\\_constituents: {'fin'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fin\n* tgt\\_alpha3: nor\n* short\\_pair: fi-no\n* chrF2\\_score: 0.426\n* bleu: 23.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 14768.0\n* src\\_name: Finnish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fi\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fin-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 #fi #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fin-nor\n\n\n* source group: Finnish\n* target group: Norwegian\n* OPUS readme: fin-nor\n* model: transformer-align\n* source language(s): fin\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.426", "### System Info:\n\n\n* hf\\_name: fin-nor\n* source\\_languages: fin\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'no']\n* src\\_constituents: {'fin'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fin\n* tgt\\_alpha3: nor\n* short\\_pair: fi-no\n* chrF2\\_score: 0.426\n* bleu: 23.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 14768.0\n* src\\_name: Finnish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fi\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fin-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 161, 397 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fin-nor\n\n\n* source group: Finnish\n* target group: Norwegian\n* OPUS readme: fin-nor\n* model: transformer-align\n* source language(s): fin\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.426### System Info:\n\n\n* hf\\_name: fin-nor\n* source\\_languages: fin\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fi', 'no']\n* src\\_constituents: {'fin'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fin\n* tgt\\_alpha3: nor\n* short\\_pair: fi-no\n* chrF2\\_score: 0.426\n* bleu: 23.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 14768.0\n* src\\_name: Finnish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fi\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fin-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-fi-nso * source languages: fi * target languages: nso * OPUS readme: [fi-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-nso/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-nso/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nso/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nso/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.nso \| 35.8 \| 0.564 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-nso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-nso * source languages: fi * target languages: nso * OPUS readme: fi-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: 35.8, chr-F: 0.564	[ "### opus-mt-fi-nso\n\n\n* source languages: fi\n* target languages: nso\n* OPUS readme: fi-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: 35.8, chr-F: 0.564" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-nso\n\n\n* source languages: fi\n* target languages: nso\n* OPUS readme: fi-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: 35.8, chr-F: 0.564" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-nso\n\n\n* source languages: fi\n* target languages: nso\n* OPUS readme: fi-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: 35.8, chr-F: 0.564" ]
translation	transformers	### opus-mt-fi-ny * source languages: fi * target languages: ny * OPUS readme: [fi-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ny/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/fi-ny/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ny \| 22.6 \| 0.503 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ny	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ny * source languages: fi * target languages: ny * OPUS readme: fi-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: 22.6, chr-F: 0.503	[ "### opus-mt-fi-ny\n\n\n* source languages: fi\n* target languages: ny\n* OPUS readme: fi-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: 22.6, chr-F: 0.503" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ny\n\n\n* source languages: fi\n* target languages: ny\n* OPUS readme: fi-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: 22.6, chr-F: 0.503" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ny\n\n\n* source languages: fi\n* target languages: ny\n* OPUS readme: fi-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: 22.6, chr-F: 0.503" ]
translation	transformers	### opus-mt-fi-pag * source languages: fi * target languages: pag * OPUS readme: [fi-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-pag/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-pag/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pag/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pag/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.pag \| 28.0 \| 0.510 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-pag	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-pag * source languages: fi * target languages: pag * OPUS readme: fi-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: 28.0, chr-F: 0.510	[ "### opus-mt-fi-pag\n\n\n* source languages: fi\n* target languages: pag\n* OPUS readme: fi-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: 28.0, chr-F: 0.510" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-pag\n\n\n* source languages: fi\n* target languages: pag\n* OPUS readme: fi-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: 28.0, chr-F: 0.510" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-pag\n\n\n* source languages: fi\n* target languages: pag\n* OPUS readme: fi-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: 28.0, chr-F: 0.510" ]
translation	transformers	### opus-mt-fi-pap * source languages: fi * target languages: pap * OPUS readme: [fi-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-pap/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pap/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pap/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.pap \| 27.3 \| 0.478 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-pap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-pap * source languages: fi * target languages: pap * OPUS readme: fi-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: 27.3, chr-F: 0.478	[ "### opus-mt-fi-pap\n\n\n* source languages: fi\n* target languages: pap\n* OPUS readme: fi-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: 27.3, chr-F: 0.478" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-pap\n\n\n* source languages: fi\n* target languages: pap\n* OPUS readme: fi-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: 27.3, chr-F: 0.478" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-pap\n\n\n* source languages: fi\n* target languages: pap\n* OPUS readme: fi-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: 27.3, chr-F: 0.478" ]
translation	transformers	### opus-mt-fi-pis * source languages: fi * target languages: pis * OPUS readme: [fi-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-pis/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pis/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pis/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.pis \| 27.5 \| 0.493 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-pis	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-pis * source languages: fi * target languages: pis * OPUS readme: fi-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: 27.5, chr-F: 0.493	[ "### opus-mt-fi-pis\n\n\n* source languages: fi\n* target languages: pis\n* OPUS readme: fi-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: 27.5, chr-F: 0.493" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-pis\n\n\n* source languages: fi\n* target languages: pis\n* OPUS readme: fi-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: 27.5, chr-F: 0.493" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-pis\n\n\n* source languages: fi\n* target languages: pis\n* OPUS readme: fi-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: 27.5, chr-F: 0.493" ]
translation	transformers	### opus-mt-fi-pon * source languages: fi * target languages: pon * OPUS readme: [fi-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-pon/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-pon/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pon/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pon/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.pon \| 23.7 \| 0.475 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-pon	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-pon * source languages: fi * target languages: pon * OPUS readme: fi-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: 23.7, chr-F: 0.475	[ "### opus-mt-fi-pon\n\n\n* source languages: fi\n* target languages: pon\n* OPUS readme: fi-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: 23.7, chr-F: 0.475" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-pon\n\n\n* source languages: fi\n* target languages: pon\n* OPUS readme: fi-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: 23.7, chr-F: 0.475" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-pon\n\n\n* source languages: fi\n* target languages: pon\n* OPUS readme: fi-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: 23.7, chr-F: 0.475" ]
translation	transformers	### opus-mt-fi-ro * source languages: fi * target languages: ro * OPUS readme: [fi-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ro/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-ro/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ro/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ro/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ro \| 27.0 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ro	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ro * source languages: fi * target languages: ro * OPUS readme: fi-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: 27.0, chr-F: 0.490	[ "### opus-mt-fi-ro\n\n\n* source languages: fi\n* target languages: ro\n* OPUS readme: fi-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: 27.0, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ro\n\n\n* source languages: fi\n* target languages: ro\n* OPUS readme: fi-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: 27.0, chr-F: 0.490" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ro\n\n\n* source languages: fi\n* target languages: ro\n* OPUS readme: fi-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: 27.0, chr-F: 0.490" ]
translation	transformers	### opus-mt-fi-ru * source languages: fi * target languages: ru * OPUS readme: [fi-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ru/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/fi-ru/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ru/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ru/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.ru \| 46.3 \| 0.670 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ru * source languages: fi * target languages: ru * OPUS readme: fi-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: 46.3, chr-F: 0.670	[ "### opus-mt-fi-ru\n\n\n* source languages: fi\n* target languages: ru\n* OPUS readme: fi-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: 46.3, chr-F: 0.670" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ru\n\n\n* source languages: fi\n* target languages: ru\n* OPUS readme: fi-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: 46.3, chr-F: 0.670" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ru\n\n\n* source languages: fi\n* target languages: ru\n* OPUS readme: fi-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: 46.3, chr-F: 0.670" ]
translation	transformers	### opus-mt-fi-run * source languages: fi * target languages: run * OPUS readme: [fi-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-run/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/fi-run/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-run/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-run/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.run \| 23.2 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-run	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "run", "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 #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-run * source languages: fi * target languages: run * OPUS readme: fi-run * 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: 23.2, chr-F: 0.498	[ "### opus-mt-fi-run\n\n\n* source languages: fi\n* target languages: run\n* OPUS readme: fi-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-run\n\n\n* source languages: fi\n* target languages: run\n* OPUS readme: fi-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.498" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-run\n\n\n* source languages: fi\n* target languages: run\n* OPUS readme: fi-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.498" ]
translation	transformers	### opus-mt-fi-rw * source languages: fi * target languages: rw * OPUS readme: [fi-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-rw/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-rw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-rw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-rw/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.rw \| 25.3 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-rw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-rw * source languages: fi * target languages: rw * OPUS readme: fi-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: 25.3, chr-F: 0.509	[ "### opus-mt-fi-rw\n\n\n* source languages: fi\n* target languages: rw\n* OPUS readme: fi-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: 25.3, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-rw\n\n\n* source languages: fi\n* target languages: rw\n* OPUS readme: fi-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: 25.3, chr-F: 0.509" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-rw\n\n\n* source languages: fi\n* target languages: rw\n* OPUS readme: fi-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: 25.3, chr-F: 0.509" ]
translation	transformers	### opus-mt-fi-sg * source languages: fi * target languages: sg * OPUS readme: [fi-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sg/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sg/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sg/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sg \| 29.3 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sg * source languages: fi * target languages: sg * OPUS readme: fi-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: 29.3, chr-F: 0.480	[ "### opus-mt-fi-sg\n\n\n* source languages: fi\n* target languages: sg\n* OPUS readme: fi-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: 29.3, chr-F: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sg\n\n\n* source languages: fi\n* target languages: sg\n* OPUS readme: fi-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: 29.3, chr-F: 0.480" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sg\n\n\n* source languages: fi\n* target languages: sg\n* OPUS readme: fi-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: 29.3, chr-F: 0.480" ]
translation	transformers	### opus-mt-fi-sk * source languages: fi * target languages: sk * OPUS readme: [fi-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sk/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-sk/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sk \| 28.1 \| 0.501 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "sk", "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 #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sk * source languages: fi * target languages: sk * OPUS readme: fi-sk * 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: 0.501	[ "### opus-mt-fi-sk\n\n\n* source languages: fi\n* target languages: sk\n* OPUS readme: fi-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.501" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sk\n\n\n* source languages: fi\n* target languages: sk\n* OPUS readme: fi-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.501" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sk\n\n\n* source languages: fi\n* target languages: sk\n* OPUS readme: fi-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.501" ]
translation	transformers	### opus-mt-fi-sl * source languages: fi * target languages: sl * OPUS readme: [fi-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sl/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-sl/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sl/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sl/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sl \| 24.1 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sl * source languages: fi * target languages: sl * OPUS readme: fi-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: 24.1, chr-F: 0.481	[ "### opus-mt-fi-sl\n\n\n* source languages: fi\n* target languages: sl\n* OPUS readme: fi-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: 24.1, chr-F: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sl\n\n\n* source languages: fi\n* target languages: sl\n* OPUS readme: fi-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: 24.1, chr-F: 0.481" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sl\n\n\n* source languages: fi\n* target languages: sl\n* OPUS readme: fi-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: 24.1, chr-F: 0.481" ]
translation	transformers	### opus-mt-fi-sm * source languages: fi * target languages: sm * OPUS readme: [fi-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sm/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/fi-sm/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sm \| 24.0 \| 0.443 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sm	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sm * source languages: fi * target languages: sm * OPUS readme: fi-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: 24.0, chr-F: 0.443	[ "### opus-mt-fi-sm\n\n\n* source languages: fi\n* target languages: sm\n* OPUS readme: fi-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: 24.0, chr-F: 0.443" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sm\n\n\n* source languages: fi\n* target languages: sm\n* OPUS readme: fi-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: 24.0, chr-F: 0.443" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sm\n\n\n* source languages: fi\n* target languages: sm\n* OPUS readme: fi-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: 24.0, chr-F: 0.443" ]
translation	transformers	### opus-mt-fi-sn * source languages: fi * target languages: sn * OPUS readme: [fi-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sn/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-sn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sn/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sn \| 25.3 \| 0.547 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sn * source languages: fi * target languages: sn * OPUS readme: fi-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: 25.3, chr-F: 0.547	[ "### opus-mt-fi-sn\n\n\n* source languages: fi\n* target languages: sn\n* OPUS readme: fi-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: 25.3, chr-F: 0.547" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sn\n\n\n* source languages: fi\n* target languages: sn\n* OPUS readme: fi-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: 25.3, chr-F: 0.547" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sn\n\n\n* source languages: fi\n* target languages: sn\n* OPUS readme: fi-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: 25.3, chr-F: 0.547" ]
translation	transformers	### opus-mt-fi-sq * source languages: fi * target languages: sq * OPUS readme: [fi-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sq/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-sq/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sq/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sq/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sq \| 32.0 \| 0.535 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sq	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "sq", "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 #sq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sq * source languages: fi * target languages: sq * OPUS readme: fi-sq * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.0, chr-F: 0.535	[ "### opus-mt-fi-sq\n\n\n* source languages: fi\n* target languages: sq\n* OPUS readme: fi-sq\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.0, chr-F: 0.535" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sq\n\n\n* source languages: fi\n* target languages: sq\n* OPUS readme: fi-sq\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.0, chr-F: 0.535" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sq\n\n\n* source languages: fi\n* target languages: sq\n* OPUS readme: fi-sq\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.0, chr-F: 0.535" ]
translation	transformers	### opus-mt-fi-srn * source languages: fi * target languages: srn * OPUS readme: [fi-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-srn/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-srn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-srn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-srn/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.srn \| 29.2 \| 0.491 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-srn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-srn * source languages: fi * target languages: srn * OPUS readme: fi-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: 29.2, chr-F: 0.491	[ "### opus-mt-fi-srn\n\n\n* source languages: fi\n* target languages: srn\n* OPUS readme: fi-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: 29.2, chr-F: 0.491" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-srn\n\n\n* source languages: fi\n* target languages: srn\n* OPUS readme: fi-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: 29.2, chr-F: 0.491" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-srn\n\n\n* source languages: fi\n* target languages: srn\n* OPUS readme: fi-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: 29.2, chr-F: 0.491" ]
translation	transformers	### opus-mt-fi-st * source languages: fi * target languages: st * OPUS readme: [fi-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-st/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-st/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-st/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.st \| 37.1 \| 0.570 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-st	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-st * source languages: fi * target languages: st * OPUS readme: fi-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: 37.1, chr-F: 0.570	[ "### opus-mt-fi-st\n\n\n* source languages: fi\n* target languages: st\n* OPUS readme: fi-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: 37.1, chr-F: 0.570" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-st\n\n\n* source languages: fi\n* target languages: st\n* OPUS readme: fi-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: 37.1, chr-F: 0.570" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-st\n\n\n* source languages: fi\n* target languages: st\n* OPUS readme: fi-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: 37.1, chr-F: 0.570" ]
translation	transformers	### opus-mt-fi-sv * source languages: fi * target languages: sv * OPUS readme: [fi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sv/README.md) * dataset: opus+bt * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus+bt-2020-04-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.zip) * test set translations: [opus+bt-2020-04-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.test.txt) * test set scores: [opus+bt-2020-04-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| fiskmo_testset.fi.sv \| 27.4 \| 0.605 \| \| Tatoeba.fi.sv \| 54.7 \| 0.709 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sv * source languages: fi * target languages: sv * OPUS readme: fi-sv * dataset: opus+bt * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: opus+URL * test set translations: opus+URL * test set scores: opus+URL Benchmarks ---------- testset: fiskmo\_testset.URL, BLEU: 27.4, chr-F: 0.605 testset: URL, BLEU: 54.7, chr-F: 0.709	[ "### opus-mt-fi-sv\n\n\n* source languages: fi\n* target languages: sv\n* OPUS readme: fi-sv\n* dataset: opus+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: fiskmo\\_testset.URL, BLEU: 27.4, chr-F: 0.605\ntestset: URL, BLEU: 54.7, chr-F: 0.709" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sv\n\n\n* source languages: fi\n* target languages: sv\n* OPUS readme: fi-sv\n* dataset: opus+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: fiskmo\\_testset.URL, BLEU: 27.4, chr-F: 0.605\ntestset: URL, BLEU: 54.7, chr-F: 0.709" ]	[ 51, 145 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sv\n\n\n* source languages: fi\n* target languages: sv\n* OPUS readme: fi-sv\n* dataset: opus+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: fiskmo\\_testset.URL, BLEU: 27.4, chr-F: 0.605\ntestset: URL, BLEU: 54.7, chr-F: 0.709" ]
translation	transformers	### opus-mt-fi-sw * source languages: fi * target languages: sw * OPUS readme: [fi-sw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sw/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-sw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sw/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.sw \| 29.9 \| 0.548 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-sw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "sw", "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 #sw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-sw * source languages: fi * target languages: sw * OPUS readme: fi-sw * 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: 0.548	[ "### opus-mt-fi-sw\n\n\n* source languages: fi\n* target languages: sw\n* OPUS readme: fi-sw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.548" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-sw\n\n\n* source languages: fi\n* target languages: sw\n* OPUS readme: fi-sw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.548" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #sw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-sw\n\n\n* source languages: fi\n* target languages: sw\n* OPUS readme: fi-sw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.548" ]
translation	transformers	### opus-mt-fi-swc * source languages: fi * target languages: swc * OPUS readme: [fi-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-swc/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-swc/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-swc/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.swc \| 27.5 \| 0.515 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-swc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-swc * source languages: fi * target languages: swc * OPUS readme: fi-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: 27.5, chr-F: 0.515	[ "### opus-mt-fi-swc\n\n\n* source languages: fi\n* target languages: swc\n* OPUS readme: fi-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: 27.5, chr-F: 0.515" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-swc\n\n\n* source languages: fi\n* target languages: swc\n* OPUS readme: fi-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: 27.5, chr-F: 0.515" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-swc\n\n\n* source languages: fi\n* target languages: swc\n* OPUS readme: fi-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: 27.5, chr-F: 0.515" ]
translation	transformers	### opus-mt-fi-tiv * source languages: fi * target languages: tiv * OPUS readme: [fi-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tiv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.tiv \| 23.6 \| 0.425 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tiv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "tiv", "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 #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tiv * source languages: fi * target languages: tiv * OPUS readme: fi-tiv * 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: 0.425	[ "### opus-mt-fi-tiv\n\n\n* source languages: fi\n* target languages: tiv\n* OPUS readme: fi-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.425" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tiv\n\n\n* source languages: fi\n* target languages: tiv\n* OPUS readme: fi-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.425" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tiv\n\n\n* source languages: fi\n* target languages: tiv\n* OPUS readme: fi-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.425" ]
translation	transformers	### opus-mt-fi-tll * source languages: fi * target languages: tll * OPUS readme: [fi-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tll/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tll/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tll/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.tll \| 23.6 \| 0.478 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tll	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tll * source languages: fi * target languages: tll * OPUS readme: fi-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: 23.6, chr-F: 0.478	[ "### opus-mt-fi-tll\n\n\n* source languages: fi\n* target languages: tll\n* OPUS readme: fi-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: 23.6, chr-F: 0.478" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tll\n\n\n* source languages: fi\n* target languages: tll\n* OPUS readme: fi-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: 23.6, chr-F: 0.478" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tll\n\n\n* source languages: fi\n* target languages: tll\n* OPUS readme: fi-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: 23.6, chr-F: 0.478" ]
translation	transformers	### opus-mt-fi-tn * source languages: fi * target languages: tn * OPUS readme: [fi-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tn/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-tn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tn/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.tn \| 34.5 \| 0.555 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tn * source languages: fi * target languages: tn * OPUS readme: fi-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: 34.5, chr-F: 0.555	[ "### opus-mt-fi-tn\n\n\n* source languages: fi\n* target languages: tn\n* OPUS readme: fi-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: 34.5, chr-F: 0.555" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tn\n\n\n* source languages: fi\n* target languages: tn\n* OPUS readme: fi-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: 34.5, chr-F: 0.555" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tn\n\n\n* source languages: fi\n* target languages: tn\n* OPUS readme: fi-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: 34.5, chr-F: 0.555" ]
translation	transformers	### opus-mt-fi-to * source languages: fi * target languages: to * OPUS readme: [fi-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-to/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-to/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-to/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.to \| 38.3 \| 0.541 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-to	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-to * source languages: fi * target languages: to * OPUS readme: fi-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: 38.3, chr-F: 0.541	[ "### opus-mt-fi-to\n\n\n* source languages: fi\n* target languages: to\n* OPUS readme: fi-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: 38.3, chr-F: 0.541" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-to\n\n\n* source languages: fi\n* target languages: to\n* OPUS readme: fi-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: 38.3, chr-F: 0.541" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-to\n\n\n* source languages: fi\n* target languages: to\n* OPUS readme: fi-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: 38.3, chr-F: 0.541" ]
translation	transformers	### opus-mt-fi-toi * source languages: fi * target languages: toi * OPUS readme: [fi-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-toi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-toi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-toi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-toi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.toi \| 22.0 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-toi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "toi", "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 #toi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-toi * source languages: fi * target languages: toi * OPUS readme: fi-toi * 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: 22.0, chr-F: 0.509	[ "### opus-mt-fi-toi\n\n\n* source languages: fi\n* target languages: toi\n* OPUS readme: fi-toi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #toi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-toi\n\n\n* source languages: fi\n* target languages: toi\n* OPUS readme: fi-toi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.509" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #toi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-toi\n\n\n* source languages: fi\n* target languages: toi\n* OPUS readme: fi-toi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.509" ]
translation	transformers	### opus-mt-fi-tpi * source languages: fi * target languages: tpi * OPUS readme: [fi-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tpi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tpi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tpi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tpi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.tpi \| 30.5 \| 0.504 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tpi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tpi * source languages: fi * target languages: tpi * OPUS readme: fi-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: 30.5, chr-F: 0.504	[ "### opus-mt-fi-tpi\n\n\n* source languages: fi\n* target languages: tpi\n* OPUS readme: fi-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: 30.5, chr-F: 0.504" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tpi\n\n\n* source languages: fi\n* target languages: tpi\n* OPUS readme: fi-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: 30.5, chr-F: 0.504" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tpi\n\n\n* source languages: fi\n* target languages: tpi\n* OPUS readme: fi-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: 30.5, chr-F: 0.504" ]
translation	transformers	### opus-mt-fi-tr * source languages: fi * target languages: tr * OPUS readme: [fi-tr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tr/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/fi-tr/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.tr \| 31.6 \| 0.619 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "tr", "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 #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tr * source languages: fi * target languages: tr * OPUS readme: fi-tr * 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: 31.6, chr-F: 0.619	[ "### opus-mt-fi-tr\n\n\n* source languages: fi\n* target languages: tr\n* OPUS readme: fi-tr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.619" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tr\n\n\n* source languages: fi\n* target languages: tr\n* OPUS readme: fi-tr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.619" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tr\n\n\n* source languages: fi\n* target languages: tr\n* OPUS readme: fi-tr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.619" ]
translation	transformers	### opus-mt-fi-ts * source languages: fi * target languages: ts * OPUS readme: [fi-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ts/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ts/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ts/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ts/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ts \| 33.6 \| 0.563 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ts	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "ts", "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 #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ts * source languages: fi * target languages: ts * OPUS readme: fi-ts * 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: 0.563	[ "### opus-mt-fi-ts\n\n\n* source languages: fi\n* target languages: ts\n* OPUS readme: fi-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.563" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ts\n\n\n* source languages: fi\n* target languages: ts\n* OPUS readme: fi-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.563" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ts\n\n\n* source languages: fi\n* target languages: ts\n* OPUS readme: fi-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.563" ]
translation	transformers	### opus-mt-fi-tvl * source languages: fi * target languages: tvl * OPUS readme: [fi-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tvl/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-tvl/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tvl/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tvl/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.tvl \| 33.6 \| 0.517 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tvl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tvl * source languages: fi * target languages: tvl * OPUS readme: fi-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: 33.6, chr-F: 0.517	[ "### opus-mt-fi-tvl\n\n\n* source languages: fi\n* target languages: tvl\n* OPUS readme: fi-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: 33.6, chr-F: 0.517" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tvl\n\n\n* source languages: fi\n* target languages: tvl\n* OPUS readme: fi-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: 33.6, chr-F: 0.517" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tvl\n\n\n* source languages: fi\n* target languages: tvl\n* OPUS readme: fi-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: 33.6, chr-F: 0.517" ]
translation	transformers	### opus-mt-fi-tw * source languages: fi * target languages: tw * OPUS readme: [fi-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tw/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tw/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tw/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.tw \| 29.2 \| 0.504 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-tw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-tw * source languages: fi * target languages: tw * OPUS readme: fi-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: 29.2, chr-F: 0.504	[ "### opus-mt-fi-tw\n\n\n* source languages: fi\n* target languages: tw\n* OPUS readme: fi-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: 29.2, chr-F: 0.504" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-tw\n\n\n* source languages: fi\n* target languages: tw\n* OPUS readme: fi-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: 29.2, chr-F: 0.504" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-tw\n\n\n* source languages: fi\n* target languages: tw\n* OPUS readme: fi-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: 29.2, chr-F: 0.504" ]
translation	transformers	### opus-mt-fi-ty * source languages: fi * target languages: ty * OPUS readme: [fi-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ty/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ty/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ty/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ty \| 39.7 \| 0.565 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ty	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ty * source languages: fi * target languages: ty * OPUS readme: fi-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: 39.7, chr-F: 0.565	[ "### opus-mt-fi-ty\n\n\n* source languages: fi\n* target languages: ty\n* OPUS readme: fi-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: 39.7, chr-F: 0.565" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ty\n\n\n* source languages: fi\n* target languages: ty\n* OPUS readme: fi-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: 39.7, chr-F: 0.565" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ty\n\n\n* source languages: fi\n* target languages: ty\n* OPUS readme: fi-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: 39.7, chr-F: 0.565" ]
translation	transformers	### opus-mt-fi-uk * source languages: fi * target languages: uk * OPUS readme: [fi-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-uk/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-uk/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-uk/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-uk/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.uk \| 23.3 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "uk", "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 #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-uk * source languages: fi * target languages: uk * OPUS readme: fi-uk * 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: 0.445	[ "### opus-mt-fi-uk\n\n\n* source languages: fi\n* target languages: uk\n* OPUS readme: fi-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-uk\n\n\n* source languages: fi\n* target languages: uk\n* OPUS readme: fi-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.445" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-uk\n\n\n* source languages: fi\n* target languages: uk\n* OPUS readme: fi-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.445" ]
translation	transformers	### opus-mt-fi-ve * source languages: fi * target languages: ve * OPUS readme: [fi-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ve/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/fi-ve/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ve/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ve/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ve \| 26.0 \| 0.495 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-ve	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-ve * source languages: fi * target languages: ve * OPUS readme: fi-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: 26.0, chr-F: 0.495	[ "### opus-mt-fi-ve\n\n\n* source languages: fi\n* target languages: ve\n* OPUS readme: fi-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: 26.0, chr-F: 0.495" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-ve\n\n\n* source languages: fi\n* target languages: ve\n* OPUS readme: fi-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: 26.0, chr-F: 0.495" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-ve\n\n\n* source languages: fi\n* target languages: ve\n* OPUS readme: fi-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: 26.0, chr-F: 0.495" ]
translation	transformers	### opus-mt-fi-war * source languages: fi * target languages: war * OPUS readme: [fi-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-war/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-war/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-war/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-war/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.war \| 35.1 \| 0.565 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-war	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-war * source languages: fi * target languages: war * OPUS readme: fi-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: 35.1, chr-F: 0.565	[ "### opus-mt-fi-war\n\n\n* source languages: fi\n* target languages: war\n* OPUS readme: fi-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: 35.1, chr-F: 0.565" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-war\n\n\n* source languages: fi\n* target languages: war\n* OPUS readme: fi-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: 35.1, chr-F: 0.565" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-war\n\n\n* source languages: fi\n* target languages: war\n* OPUS readme: fi-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: 35.1, chr-F: 0.565" ]
translation	transformers	### opus-mt-fi-wls * source languages: fi * target languages: wls * OPUS readme: [fi-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-wls/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-wls/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-wls/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-wls/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.wls \| 24.7 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-wls	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-wls * source languages: fi * target languages: wls * OPUS readme: fi-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: 24.7, chr-F: 0.466	[ "### opus-mt-fi-wls\n\n\n* source languages: fi\n* target languages: wls\n* OPUS readme: fi-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: 24.7, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-wls\n\n\n* source languages: fi\n* target languages: wls\n* OPUS readme: fi-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: 24.7, chr-F: 0.466" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-wls\n\n\n* source languages: fi\n* target languages: wls\n* OPUS readme: fi-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: 24.7, chr-F: 0.466" ]
translation	transformers	### opus-mt-fi-xh * source languages: fi * target languages: xh * OPUS readme: [fi-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-xh/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-xh/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-xh/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-xh/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.xh \| 25.3 \| 0.554 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-xh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-xh * source languages: fi * target languages: xh * OPUS readme: fi-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: 25.3, chr-F: 0.554	[ "### opus-mt-fi-xh\n\n\n* source languages: fi\n* target languages: xh\n* OPUS readme: fi-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: 25.3, chr-F: 0.554" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-xh\n\n\n* source languages: fi\n* target languages: xh\n* OPUS readme: fi-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: 25.3, chr-F: 0.554" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-xh\n\n\n* source languages: fi\n* target languages: xh\n* OPUS readme: fi-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: 25.3, chr-F: 0.554" ]
translation	transformers	### opus-mt-fi-yap * source languages: fi * target languages: yap * OPUS readme: [fi-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-yap/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-yap/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yap/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yap/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.yap \| 25.4 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-yap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "yap", "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 #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-yap * source languages: fi * target languages: yap * OPUS readme: fi-yap * 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: 25.4, chr-F: 0.445	[ "### opus-mt-fi-yap\n\n\n* source languages: fi\n* target languages: yap\n* OPUS readme: fi-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-yap\n\n\n* source languages: fi\n* target languages: yap\n* OPUS readme: fi-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.445" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-yap\n\n\n* source languages: fi\n* target languages: yap\n* OPUS readme: fi-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.445" ]
translation	transformers	### opus-mt-fi-yo * source languages: fi * target languages: yo * OPUS readme: [fi-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-yo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.yo \| 25.8 \| 0.427 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-yo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "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 #fi #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-yo * source languages: fi * target languages: yo * OPUS readme: fi-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: 25.8, chr-F: 0.427	[ "### opus-mt-fi-yo\n\n\n* source languages: fi\n* target languages: yo\n* OPUS readme: fi-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: 25.8, chr-F: 0.427" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-yo\n\n\n* source languages: fi\n* target languages: yo\n* OPUS readme: fi-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: 25.8, chr-F: 0.427" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-yo\n\n\n* source languages: fi\n* target languages: yo\n* OPUS readme: fi-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: 25.8, chr-F: 0.427" ]
translation	transformers	### opus-mt-fi-zne * source languages: fi * target languages: zne * OPUS readme: [fi-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-zne/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.zne \| 22.7 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi-zne	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fi", "zne", "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 #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi-zne * source languages: fi * target languages: zne * OPUS readme: fi-zne * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.7, chr-F: 0.464	[ "### opus-mt-fi-zne\n\n\n* source languages: fi\n* target languages: zne\n* OPUS readme: fi-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi-zne\n\n\n* source languages: fi\n* target languages: zne\n* OPUS readme: fi-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.464" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-zne\n\n\n* source languages: fi\n* target languages: zne\n* OPUS readme: fi-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.464" ]
translation	transformers	### opus-mt-fi_nb_no_nn_ru_sv_en-SAMI * source languages: fi,nb,no,nn,ru,sv,en * target languages: se,sma,smj,smn,sms * OPUS readme: [fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/README.md) * dataset: opus+giella * 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+giella-2020-04-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.zip) * test set translations: [opus+giella-2020-04-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.test.txt) * test set scores: [opus+giella-2020-04-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| giella.fi.sms \| 58.4 \| 0.776 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fi_nb_no_nn_ru_sv_en-SAMI	null	[ "transformers", "pytorch", "marian", "text2text-generation", "translation", "fi", "nb", "no", "nn", "ru", "sv", "en", "sami", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fi\_nb\_no\_nn\_ru\_sv\_en-SAMI * source languages: fi,nb,no,nn,ru,sv,en * target languages: se,sma,smj,smn,sms * OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms * dataset: opus+giella * 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+URL * test set translations: opus+URL * test set scores: opus+URL Benchmarks ---------- testset: URL, BLEU: 58.4, chr-F: 0.776	[ "### opus-mt-fi\\_nb\\_no\\_nn\\_ru\\_sv\\_en-SAMI\n\n\n* source languages: fi,nb,no,nn,ru,sv,en\n* target languages: se,sma,smj,smn,sms\n* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms\n* dataset: opus+giella\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: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.776" ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fi\\_nb\\_no\\_nn\\_ru\\_sv\\_en-SAMI\n\n\n* source languages: fi,nb,no,nn,ru,sv,en\n* target languages: se,sma,smj,smn,sms\n* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms\n* dataset: opus+giella\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: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.776" ]	[ 62, 212 ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi\\_nb\\_no\\_nn\\_ru\\_sv\\_en-SAMI\n\n\n* source languages: fi,nb,no,nn,ru,sv,en\n* target languages: se,sma,smj,smn,sms\n* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms\n* dataset: opus+giella\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: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.776" ]
translation	transformers	### fiu-eng * source group: Finno-Ugrian languages * target group: English * OPUS readme: [fiu-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md) * model: transformer * source language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2015-enfi-fineng.fin.eng \| 22.9 \| 0.513 \| \| newsdev2018-enet-esteng.est.eng \| 26.3 \| 0.543 \| \| newssyscomb2009-huneng.hun.eng \| 21.2 \| 0.494 \| \| newstest2009-huneng.hun.eng \| 19.8 \| 0.486 \| \| newstest2015-enfi-fineng.fin.eng \| 24.1 \| 0.521 \| \| newstest2016-enfi-fineng.fin.eng \| 25.6 \| 0.541 \| \| newstest2017-enfi-fineng.fin.eng \| 28.7 \| 0.560 \| \| newstest2018-enet-esteng.est.eng \| 26.5 \| 0.549 \| \| newstest2018-enfi-fineng.fin.eng \| 21.2 \| 0.490 \| \| newstest2019-fien-fineng.fin.eng \| 25.6 \| 0.533 \| \| newstestB2016-enfi-fineng.fin.eng \| 21.6 \| 0.500 \| \| newstestB2017-enfi-fineng.fin.eng \| 24.3 \| 0.526 \| \| newstestB2017-fien-fineng.fin.eng \| 24.3 \| 0.526 \| \| Tatoeba-test.chm-eng.chm.eng \| 1.2 \| 0.163 \| \| Tatoeba-test.est-eng.est.eng \| 55.3 \| 0.706 \| \| Tatoeba-test.fin-eng.fin.eng \| 48.7 \| 0.660 \| \| Tatoeba-test.fkv-eng.fkv.eng \| 11.5 \| 0.384 \| \| Tatoeba-test.hun-eng.hun.eng \| 46.7 \| 0.638 \| \| Tatoeba-test.izh-eng.izh.eng \| 48.3 \| 0.678 \| \| Tatoeba-test.kom-eng.kom.eng \| 0.7 \| 0.113 \| \| Tatoeba-test.krl-eng.krl.eng \| 36.1 \| 0.485 \| \| Tatoeba-test.liv-eng.liv.eng \| 2.1 \| 0.086 \| \| Tatoeba-test.mdf-eng.mdf.eng \| 0.9 \| 0.120 \| \| Tatoeba-test.multi.eng \| 47.8 \| 0.648 \| \| Tatoeba-test.myv-eng.myv.eng \| 0.7 \| 0.121 \| \| Tatoeba-test.sma-eng.sma.eng \| 1.7 \| 0.101 \| \| Tatoeba-test.sme-eng.sme.eng \| 7.8 \| 0.229 \| \| Tatoeba-test.udm-eng.udm.eng \| 0.9 \| 0.166 \| ### System Info: - hf_name: fiu-eng - source_languages: fiu - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en'] - src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.test.txt - src_alpha3: fiu - tgt_alpha3: eng - short_pair: fiu-en - chrF2_score: 0.648 - bleu: 47.8 - brevity_penalty: 0.988 - ref_len: 71020.0 - src_name: Finno-Ugrian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: fiu - tgt_alpha2: en - prefer_old: False - long_pair: fiu-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["se", "fi", "hu", "et", "fiu", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fiu-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "se", "fi", "hu", "et", "fiu", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "se", "fi", "hu", "et", "fiu", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fiu-eng * source group: Finno-Ugrian languages * target group: English * OPUS readme: fiu-eng * model: transformer * source language(s): est fin fkv\_Latn hun izh kpv krl liv\_Latn mdf mhr myv sma sme udm vro * 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: 22.9, chr-F: 0.513 testset: URL, BLEU: 26.3, chr-F: 0.543 testset: URL, BLEU: 21.2, chr-F: 0.494 testset: URL, BLEU: 19.8, chr-F: 0.486 testset: URL, BLEU: 24.1, chr-F: 0.521 testset: URL, BLEU: 25.6, chr-F: 0.541 testset: URL, BLEU: 28.7, chr-F: 0.560 testset: URL, BLEU: 26.5, chr-F: 0.549 testset: URL, BLEU: 21.2, chr-F: 0.490 testset: URL, BLEU: 25.6, chr-F: 0.533 testset: URL, BLEU: 21.6, chr-F: 0.500 testset: URL, BLEU: 24.3, chr-F: 0.526 testset: URL, BLEU: 24.3, chr-F: 0.526 testset: URL, BLEU: 1.2, chr-F: 0.163 testset: URL, BLEU: 55.3, chr-F: 0.706 testset: URL, BLEU: 48.7, chr-F: 0.660 testset: URL, BLEU: 11.5, chr-F: 0.384 testset: URL, BLEU: 46.7, chr-F: 0.638 testset: URL, BLEU: 48.3, chr-F: 0.678 testset: URL, BLEU: 0.7, chr-F: 0.113 testset: URL, BLEU: 36.1, chr-F: 0.485 testset: URL, BLEU: 2.1, chr-F: 0.086 testset: URL, BLEU: 0.9, chr-F: 0.120 testset: URL, BLEU: 47.8, chr-F: 0.648 testset: URL, BLEU: 0.7, chr-F: 0.121 testset: URL, BLEU: 1.7, chr-F: 0.101 testset: URL, BLEU: 7.8, chr-F: 0.229 testset: URL, BLEU: 0.9, chr-F: 0.166 ### System Info: * hf\_name: fiu-eng * source\_languages: fiu * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en'] * src\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fiu * tgt\_alpha3: eng * short\_pair: fiu-en * chrF2\_score: 0.648 * bleu: 47.8 * brevity\_penalty: 0.988 * ref\_len: 71020.0 * src\_name: Finno-Ugrian languages * tgt\_name: English * train\_date: 2020-07-31 * src\_alpha2: fiu * tgt\_alpha2: en * prefer\_old: False * long\_pair: fiu-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fiu-eng\n\n\n* source group: Finno-Ugrian languages\n* target group: English\n* OPUS readme: fiu-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\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: 22.9, chr-F: 0.513\ntestset: URL, BLEU: 26.3, chr-F: 0.543\ntestset: URL, BLEU: 21.2, chr-F: 0.494\ntestset: URL, BLEU: 19.8, chr-F: 0.486\ntestset: URL, BLEU: 24.1, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.541\ntestset: URL, BLEU: 28.7, chr-F: 0.560\ntestset: URL, BLEU: 26.5, chr-F: 0.549\ntestset: URL, BLEU: 21.2, chr-F: 0.490\ntestset: URL, BLEU: 25.6, chr-F: 0.533\ntestset: URL, BLEU: 21.6, chr-F: 0.500\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 1.2, chr-F: 0.163\ntestset: URL, BLEU: 55.3, chr-F: 0.706\ntestset: URL, BLEU: 48.7, chr-F: 0.660\ntestset: URL, BLEU: 11.5, chr-F: 0.384\ntestset: URL, BLEU: 46.7, chr-F: 0.638\ntestset: URL, BLEU: 48.3, chr-F: 0.678\ntestset: URL, BLEU: 0.7, chr-F: 0.113\ntestset: URL, BLEU: 36.1, chr-F: 0.485\ntestset: URL, BLEU: 2.1, chr-F: 0.086\ntestset: URL, BLEU: 0.9, chr-F: 0.120\ntestset: URL, BLEU: 47.8, chr-F: 0.648\ntestset: URL, BLEU: 0.7, chr-F: 0.121\ntestset: URL, BLEU: 1.7, chr-F: 0.101\ntestset: URL, BLEU: 7.8, chr-F: 0.229\ntestset: URL, BLEU: 0.9, chr-F: 0.166", "### System Info:\n\n\n* hf\\_name: fiu-eng\n* source\\_languages: fiu\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: eng\n* short\\_pair: fiu-en\n* chrF2\\_score: 0.648\n* bleu: 47.8\n* brevity\\_penalty: 0.988\n* ref\\_len: 71020.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: fiu\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fiu-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 #se #fi #hu #et #fiu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fiu-eng\n\n\n* source group: Finno-Ugrian languages\n* target group: English\n* OPUS readme: fiu-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\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: 22.9, chr-F: 0.513\ntestset: URL, BLEU: 26.3, chr-F: 0.543\ntestset: URL, BLEU: 21.2, chr-F: 0.494\ntestset: URL, BLEU: 19.8, chr-F: 0.486\ntestset: URL, BLEU: 24.1, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.541\ntestset: URL, BLEU: 28.7, chr-F: 0.560\ntestset: URL, BLEU: 26.5, chr-F: 0.549\ntestset: URL, BLEU: 21.2, chr-F: 0.490\ntestset: URL, BLEU: 25.6, chr-F: 0.533\ntestset: URL, BLEU: 21.6, chr-F: 0.500\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 1.2, chr-F: 0.163\ntestset: URL, BLEU: 55.3, chr-F: 0.706\ntestset: URL, BLEU: 48.7, chr-F: 0.660\ntestset: URL, BLEU: 11.5, chr-F: 0.384\ntestset: URL, BLEU: 46.7, chr-F: 0.638\ntestset: URL, BLEU: 48.3, chr-F: 0.678\ntestset: URL, BLEU: 0.7, chr-F: 0.113\ntestset: URL, BLEU: 36.1, chr-F: 0.485\ntestset: URL, BLEU: 2.1, chr-F: 0.086\ntestset: URL, BLEU: 0.9, chr-F: 0.120\ntestset: URL, BLEU: 47.8, chr-F: 0.648\ntestset: URL, BLEU: 0.7, chr-F: 0.121\ntestset: URL, BLEU: 1.7, chr-F: 0.101\ntestset: URL, BLEU: 7.8, chr-F: 0.229\ntestset: URL, BLEU: 0.9, chr-F: 0.166", "### System Info:\n\n\n* hf\\_name: fiu-eng\n* source\\_languages: fiu\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: eng\n* short\\_pair: fiu-en\n* chrF2\\_score: 0.648\n* bleu: 47.8\n* brevity\\_penalty: 0.988\n* ref\\_len: 71020.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: fiu\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fiu-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 60, 781, 504 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fiu-eng\n\n\n* source group: Finno-Ugrian languages\n* target group: English\n* OPUS readme: fiu-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\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: 22.9, chr-F: 0.513\ntestset: URL, BLEU: 26.3, chr-F: 0.543\ntestset: URL, BLEU: 21.2, chr-F: 0.494\ntestset: URL, BLEU: 19.8, chr-F: 0.486\ntestset: URL, BLEU: 24.1, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.541\ntestset: URL, BLEU: 28.7, chr-F: 0.560\ntestset: URL, BLEU: 26.5, chr-F: 0.549\ntestset: URL, BLEU: 21.2, chr-F: 0.490\ntestset: URL, BLEU: 25.6, chr-F: 0.533\ntestset: URL, BLEU: 21.6, chr-F: 0.500\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 1.2, chr-F: 0.163\ntestset: URL, BLEU: 55.3, chr-F: 0.706\ntestset: URL, BLEU: 48.7, chr-F: 0.660\ntestset: URL, BLEU: 11.5, chr-F: 0.384\ntestset: URL, BLEU: 46.7, chr-F: 0.638\ntestset: URL, BLEU: 48.3, chr-F: 0.678\ntestset: URL, BLEU: 0.7, chr-F: 0.113\ntestset: URL, BLEU: 36.1, chr-F: 0.485\ntestset: URL, BLEU: 2.1, chr-F: 0.086\ntestset: URL, BLEU: 0.9, chr-F: 0.120\ntestset: URL, BLEU: 47.8, chr-F: 0.648\ntestset: URL, BLEU: 0.7, chr-F: 0.121\ntestset: URL, BLEU: 1.7, chr-F: 0.101\ntestset: URL, BLEU: 7.8, chr-F: 0.229\ntestset: URL, BLEU: 0.9, chr-F: 0.166### System Info:\n\n\n* hf\\_name: fiu-eng\n* source\\_languages: fiu\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: eng\n* short\\_pair: fiu-en\n* chrF2\\_score: 0.648\n* bleu: 47.8\n* brevity\\_penalty: 0.988\n* ref\\_len: 71020.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: fiu\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fiu-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	### fiu-fiu * source group: Finno-Ugrian languages * target group: Finno-Ugrian languages * OPUS readme: [fiu-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md) * model: transformer * source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro * target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.est-est.est.est \| 2.0 \| 0.252 \| \| Tatoeba-test.est-fin.est.fin \| 51.0 \| 0.704 \| \| Tatoeba-test.est-fkv.est.fkv \| 1.1 \| 0.211 \| \| Tatoeba-test.est-vep.est.vep \| 3.1 \| 0.272 \| \| Tatoeba-test.fin-est.fin.est \| 55.2 \| 0.722 \| \| Tatoeba-test.fin-fkv.fin.fkv \| 1.6 \| 0.207 \| \| Tatoeba-test.fin-hun.fin.hun \| 42.4 \| 0.663 \| \| Tatoeba-test.fin-izh.fin.izh \| 12.9 \| 0.509 \| \| Tatoeba-test.fin-krl.fin.krl \| 4.6 \| 0.292 \| \| Tatoeba-test.fkv-est.fkv.est \| 2.4 \| 0.148 \| \| Tatoeba-test.fkv-fin.fkv.fin \| 15.1 \| 0.427 \| \| Tatoeba-test.fkv-liv.fkv.liv \| 1.2 \| 0.261 \| \| Tatoeba-test.fkv-vep.fkv.vep \| 1.2 \| 0.233 \| \| Tatoeba-test.hun-fin.hun.fin \| 47.8 \| 0.681 \| \| Tatoeba-test.izh-fin.izh.fin \| 24.0 \| 0.615 \| \| Tatoeba-test.izh-krl.izh.krl \| 1.8 \| 0.114 \| \| Tatoeba-test.krl-fin.krl.fin \| 13.6 \| 0.407 \| \| Tatoeba-test.krl-izh.krl.izh \| 2.7 \| 0.096 \| \| Tatoeba-test.liv-fkv.liv.fkv \| 1.2 \| 0.164 \| \| Tatoeba-test.liv-vep.liv.vep \| 3.4 \| 0.181 \| \| Tatoeba-test.multi.multi \| 36.7 \| 0.581 \| \| Tatoeba-test.vep-est.vep.est \| 3.4 \| 0.251 \| \| Tatoeba-test.vep-fkv.vep.fkv \| 1.2 \| 0.215 \| \| Tatoeba-test.vep-liv.vep.liv \| 3.4 \| 0.179 \| ### System Info: - hf_name: fiu-fiu - source_languages: fiu - target_languages: fiu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['se', 'fi', 'hu', 'et', 'fiu'] - src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'} - tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt - src_alpha3: fiu - tgt_alpha3: fiu - short_pair: fiu-fiu - chrF2_score: 0.581 - bleu: 36.7 - brevity_penalty: 0.981 - ref_len: 19444.0 - src_name: Finno-Ugrian languages - tgt_name: Finno-Ugrian languages - train_date: 2020-07-26 - src_alpha2: fiu - tgt_alpha2: fiu - prefer_old: False - long_pair: fiu-fiu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["se", "fi", "hu", "et", "fiu"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fiu-fiu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "se", "fi", "hu", "et", "fiu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "se", "fi", "hu", "et", "fiu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fiu-fiu * source group: Finno-Ugrian languages * target group: Finno-Ugrian languages * OPUS readme: fiu-fiu * model: transformer * source language(s): est fin fkv\_Latn hun izh krl liv\_Latn vep vro * target language(s): est fin fkv\_Latn hun izh krl liv\_Latn vep vro * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 2.0, chr-F: 0.252 testset: URL, BLEU: 51.0, chr-F: 0.704 testset: URL, BLEU: 1.1, chr-F: 0.211 testset: URL, BLEU: 3.1, chr-F: 0.272 testset: URL, BLEU: 55.2, chr-F: 0.722 testset: URL, BLEU: 1.6, chr-F: 0.207 testset: URL, BLEU: 42.4, chr-F: 0.663 testset: URL, BLEU: 12.9, chr-F: 0.509 testset: URL, BLEU: 4.6, chr-F: 0.292 testset: URL, BLEU: 2.4, chr-F: 0.148 testset: URL, BLEU: 15.1, chr-F: 0.427 testset: URL, BLEU: 1.2, chr-F: 0.261 testset: URL, BLEU: 1.2, chr-F: 0.233 testset: URL, BLEU: 47.8, chr-F: 0.681 testset: URL, BLEU: 24.0, chr-F: 0.615 testset: URL, BLEU: 1.8, chr-F: 0.114 testset: URL, BLEU: 13.6, chr-F: 0.407 testset: URL, BLEU: 2.7, chr-F: 0.096 testset: URL, BLEU: 1.2, chr-F: 0.164 testset: URL, BLEU: 3.4, chr-F: 0.181 testset: URL, BLEU: 36.7, chr-F: 0.581 testset: URL, BLEU: 3.4, chr-F: 0.251 testset: URL, BLEU: 1.2, chr-F: 0.215 testset: URL, BLEU: 3.4, chr-F: 0.179 ### System Info: * hf\_name: fiu-fiu * source\_languages: fiu * target\_languages: fiu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['se', 'fi', 'hu', 'et', 'fiu'] * src\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'} * tgt\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fiu * tgt\_alpha3: fiu * short\_pair: fiu-fiu * chrF2\_score: 0.581 * bleu: 36.7 * brevity\_penalty: 0.981 * ref\_len: 19444.0 * src\_name: Finno-Ugrian languages * tgt\_name: Finno-Ugrian languages * train\_date: 2020-07-26 * src\_alpha2: fiu * tgt\_alpha2: fiu * prefer\_old: False * long\_pair: fiu-fiu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fiu-fiu\n\n\n* source group: Finno-Ugrian languages\n* target group: Finno-Ugrian languages\n* OPUS readme: fiu-fiu\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.0, chr-F: 0.252\ntestset: URL, BLEU: 51.0, chr-F: 0.704\ntestset: URL, BLEU: 1.1, chr-F: 0.211\ntestset: URL, BLEU: 3.1, chr-F: 0.272\ntestset: URL, BLEU: 55.2, chr-F: 0.722\ntestset: URL, BLEU: 1.6, chr-F: 0.207\ntestset: URL, BLEU: 42.4, chr-F: 0.663\ntestset: URL, BLEU: 12.9, chr-F: 0.509\ntestset: URL, BLEU: 4.6, chr-F: 0.292\ntestset: URL, BLEU: 2.4, chr-F: 0.148\ntestset: URL, BLEU: 15.1, chr-F: 0.427\ntestset: URL, BLEU: 1.2, chr-F: 0.261\ntestset: URL, BLEU: 1.2, chr-F: 0.233\ntestset: URL, BLEU: 47.8, chr-F: 0.681\ntestset: URL, BLEU: 24.0, chr-F: 0.615\ntestset: URL, BLEU: 1.8, chr-F: 0.114\ntestset: URL, BLEU: 13.6, chr-F: 0.407\ntestset: URL, BLEU: 2.7, chr-F: 0.096\ntestset: URL, BLEU: 1.2, chr-F: 0.164\ntestset: URL, BLEU: 3.4, chr-F: 0.181\ntestset: URL, BLEU: 36.7, chr-F: 0.581\ntestset: URL, BLEU: 3.4, chr-F: 0.251\ntestset: URL, BLEU: 1.2, chr-F: 0.215\ntestset: URL, BLEU: 3.4, chr-F: 0.179", "### System Info:\n\n\n* hf\\_name: fiu-fiu\n* source\\_languages: fiu\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: fiu\n* short\\_pair: fiu-fiu\n* chrF2\\_score: 0.581\n* bleu: 36.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 19444.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: fiu\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: fiu-fiu\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 #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fiu-fiu\n\n\n* source group: Finno-Ugrian languages\n* target group: Finno-Ugrian languages\n* OPUS readme: fiu-fiu\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.0, chr-F: 0.252\ntestset: URL, BLEU: 51.0, chr-F: 0.704\ntestset: URL, BLEU: 1.1, chr-F: 0.211\ntestset: URL, BLEU: 3.1, chr-F: 0.272\ntestset: URL, BLEU: 55.2, chr-F: 0.722\ntestset: URL, BLEU: 1.6, chr-F: 0.207\ntestset: URL, BLEU: 42.4, chr-F: 0.663\ntestset: URL, BLEU: 12.9, chr-F: 0.509\ntestset: URL, BLEU: 4.6, chr-F: 0.292\ntestset: URL, BLEU: 2.4, chr-F: 0.148\ntestset: URL, BLEU: 15.1, chr-F: 0.427\ntestset: URL, BLEU: 1.2, chr-F: 0.261\ntestset: URL, BLEU: 1.2, chr-F: 0.233\ntestset: URL, BLEU: 47.8, chr-F: 0.681\ntestset: URL, BLEU: 24.0, chr-F: 0.615\ntestset: URL, BLEU: 1.8, chr-F: 0.114\ntestset: URL, BLEU: 13.6, chr-F: 0.407\ntestset: URL, BLEU: 2.7, chr-F: 0.096\ntestset: URL, BLEU: 1.2, chr-F: 0.164\ntestset: URL, BLEU: 3.4, chr-F: 0.181\ntestset: URL, BLEU: 36.7, chr-F: 0.581\ntestset: URL, BLEU: 3.4, chr-F: 0.251\ntestset: URL, BLEU: 1.2, chr-F: 0.215\ntestset: URL, BLEU: 3.4, chr-F: 0.179", "### System Info:\n\n\n* hf\\_name: fiu-fiu\n* source\\_languages: fiu\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: fiu\n* short\\_pair: fiu-fiu\n* chrF2\\_score: 0.581\n* bleu: 36.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 19444.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: fiu\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: fiu-fiu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 58, 732, 596 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fiu-fiu\n\n\n* source group: Finno-Ugrian languages\n* target group: Finno-Ugrian languages\n* OPUS readme: fiu-fiu\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.0, chr-F: 0.252\ntestset: URL, BLEU: 51.0, chr-F: 0.704\ntestset: URL, BLEU: 1.1, chr-F: 0.211\ntestset: URL, BLEU: 3.1, chr-F: 0.272\ntestset: URL, BLEU: 55.2, chr-F: 0.722\ntestset: URL, BLEU: 1.6, chr-F: 0.207\ntestset: URL, BLEU: 42.4, chr-F: 0.663\ntestset: URL, BLEU: 12.9, chr-F: 0.509\ntestset: URL, BLEU: 4.6, chr-F: 0.292\ntestset: URL, BLEU: 2.4, chr-F: 0.148\ntestset: URL, BLEU: 15.1, chr-F: 0.427\ntestset: URL, BLEU: 1.2, chr-F: 0.261\ntestset: URL, BLEU: 1.2, chr-F: 0.233\ntestset: URL, BLEU: 47.8, chr-F: 0.681\ntestset: URL, BLEU: 24.0, chr-F: 0.615\ntestset: URL, BLEU: 1.8, chr-F: 0.114\ntestset: URL, BLEU: 13.6, chr-F: 0.407\ntestset: URL, BLEU: 2.7, chr-F: 0.096\ntestset: URL, BLEU: 1.2, chr-F: 0.164\ntestset: URL, BLEU: 3.4, chr-F: 0.181\ntestset: URL, BLEU: 36.7, chr-F: 0.581\ntestset: URL, BLEU: 3.4, chr-F: 0.251\ntestset: URL, BLEU: 1.2, chr-F: 0.215\ntestset: URL, BLEU: 3.4, chr-F: 0.179### System Info:\n\n\n* hf\\_name: fiu-fiu\n* source\\_languages: fiu\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: fiu\n* short\\_pair: fiu-fiu\n* chrF2\\_score: 0.581\n* bleu: 36.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 19444.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: fiu\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: fiu-fiu\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-fj-en * source languages: fj * target languages: en * OPUS readme: [fj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fj.en \| 31.0 \| 0.471 \| \| Tatoeba.fj.en \| 79.7 \| 0.835 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fj-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fj", "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 #fj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fj-en * source languages: fj * target languages: en * OPUS readme: fj-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: 31.0, chr-F: 0.471 testset: URL, BLEU: 79.7, chr-F: 0.835	[ "### opus-mt-fj-en\n\n\n* source languages: fj\n* target languages: en\n* OPUS readme: fj-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: 31.0, chr-F: 0.471\ntestset: URL, BLEU: 79.7, chr-F: 0.835" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fj-en\n\n\n* source languages: fj\n* target languages: en\n* OPUS readme: fj-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: 31.0, chr-F: 0.471\ntestset: URL, BLEU: 79.7, chr-F: 0.835" ]	[ 52, 132 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fj-en\n\n\n* source languages: fj\n* target languages: en\n* OPUS readme: fj-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: 31.0, chr-F: 0.471\ntestset: URL, BLEU: 79.7, chr-F: 0.835" ]
translation	transformers	### opus-mt-fj-fr * source languages: fj * target languages: fr * OPUS readme: [fj-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fj.fr \| 24.0 \| 0.407 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fj-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fj", "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 #fj #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fj-fr * source languages: fj * target languages: fr * OPUS readme: fj-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.0, chr-F: 0.407	[ "### opus-mt-fj-fr\n\n\n* source languages: fj\n* target languages: fr\n* OPUS readme: fj-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.407" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fj-fr\n\n\n* source languages: fj\n* target languages: fr\n* OPUS readme: fj-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.407" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fj-fr\n\n\n* source languages: fj\n* target languages: fr\n* OPUS readme: fj-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.407" ]
translation	transformers	### opus-mt-fr-af * source languages: fr * target languages: af * OPUS readme: [fr-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-af/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-af/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-af/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.af \| 36.0 \| 0.546 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-af	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "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 #fr #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-af * source languages: fr * target languages: af * OPUS readme: fr-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: 36.0, chr-F: 0.546	[ "### opus-mt-fr-af\n\n\n* source languages: fr\n* target languages: af\n* OPUS readme: fr-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: 36.0, chr-F: 0.546" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-af\n\n\n* source languages: fr\n* target languages: af\n* OPUS readme: fr-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: 36.0, chr-F: 0.546" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-af\n\n\n* source languages: fr\n* target languages: af\n* OPUS readme: fr-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: 36.0, chr-F: 0.546" ]
translation	transformers	### fra-ara * source group: French * target group: Arabic * OPUS readme: [fra-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md) * model: transformer * source language(s): fra * target language(s): apc ara arq arq_Latn ary arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.ara \| 14.4 \| 0.439 \| ### System Info: - hf_name: fra-ara - source_languages: fra - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'ar'] - src_constituents: {'fra'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt - src_alpha3: fra - tgt_alpha3: ara - short_pair: fr-ar - chrF2_score: 0.439 - bleu: 14.4 - brevity_penalty: 1.0 - ref_len: 7956.0 - src_name: French - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: fr - tgt_alpha2: ar - prefer_old: False - long_pair: fra-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", "ar"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ar	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-ara * source group: French * target group: Arabic * OPUS readme: fra-ara * model: transformer * source language(s): fra * target language(s): apc ara arq arq\_Latn ary arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 14.4, chr-F: 0.439 ### System Info: * hf\_name: fra-ara * source\_languages: fra * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'ar'] * src\_constituents: {'fra'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fra * tgt\_alpha3: ara * short\_pair: fr-ar * chrF2\_score: 0.439 * bleu: 14.4 * brevity\_penalty: 1.0 * ref\_len: 7956.0 * src\_name: French * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: fr * tgt\_alpha2: ar * prefer\_old: False * long\_pair: fra-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-ara\n\n\n* source group: French\n* target group: Arabic\n* OPUS readme: fra-ara\n* model: transformer\n* source language(s): fra\n* target language(s): apc ara arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.439", "### System Info:\n\n\n* hf\\_name: fra-ara\n* source\\_languages: fra\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ar']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: ara\n* short\\_pair: fr-ar\n* chrF2\\_score: 0.439\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7956.0\n* src\\_name: French\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: fra-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-ara\n\n\n* source group: French\n* target group: Arabic\n* OPUS readme: fra-ara\n* model: transformer\n* source language(s): fra\n* target language(s): apc ara arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.439", "### System Info:\n\n\n* hf\\_name: fra-ara\n* source\\_languages: fra\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ar']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: ara\n* short\\_pair: fr-ar\n* chrF2\\_score: 0.439\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7956.0\n* src\\_name: French\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: fra-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 169, 438 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-ara\n\n\n* source group: French\n* target group: Arabic\n* OPUS readme: fra-ara\n* model: transformer\n* source language(s): fra\n* target language(s): apc ara arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.439### System Info:\n\n\n* hf\\_name: fra-ara\n* source\\_languages: fra\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ar']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: ara\n* short\\_pair: fr-ar\n* chrF2\\_score: 0.439\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7956.0\n* src\\_name: French\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: fra-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.