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ftopal
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huggingface-models-processed

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translation	transformers	### opus-mt-sv-bcl * source languages: sv * target languages: bcl * OPUS readme: [sv-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bcl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.bcl \| 39.5 \| 0.607 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-bcl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-bcl * source languages: sv * target languages: bcl * OPUS readme: sv-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: 39.5, chr-F: 0.607	[ "### opus-mt-sv-bcl\n\n\n* source languages: sv\n* target languages: bcl\n* OPUS readme: sv-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: 39.5, chr-F: 0.607" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-bcl\n\n\n* source languages: sv\n* target languages: bcl\n* OPUS readme: sv-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: 39.5, chr-F: 0.607" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-bcl\n\n\n* source languages: sv\n* target languages: bcl\n* OPUS readme: sv-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: 39.5, chr-F: 0.607" ]
translation	transformers	### opus-mt-sv-bem * source languages: sv * target languages: bem * OPUS readme: [sv-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bem/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bem/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bem/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bem/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.bem \| 22.3 \| 0.473 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-bem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-bem * source languages: sv * target languages: bem * OPUS readme: sv-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: 22.3, chr-F: 0.473	[ "### opus-mt-sv-bem\n\n\n* source languages: sv\n* target languages: bem\n* OPUS readme: sv-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: 22.3, chr-F: 0.473" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-bem\n\n\n* source languages: sv\n* target languages: bem\n* OPUS readme: sv-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: 22.3, chr-F: 0.473" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-bem\n\n\n* source languages: sv\n* target languages: bem\n* OPUS readme: sv-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: 22.3, chr-F: 0.473" ]
translation	transformers	### opus-mt-sv-bg * source languages: sv * target languages: bg * OPUS readme: [sv-bg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.bg \| 29.6 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-bg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-bg * source languages: sv * target languages: bg * OPUS readme: sv-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: 29.6, chr-F: 0.509	[ "### opus-mt-sv-bg\n\n\n* source languages: sv\n* target languages: bg\n* OPUS readme: sv-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: 29.6, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-bg\n\n\n* source languages: sv\n* target languages: bg\n* OPUS readme: sv-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: 29.6, chr-F: 0.509" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-bg\n\n\n* source languages: sv\n* target languages: bg\n* OPUS readme: sv-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: 29.6, chr-F: 0.509" ]
translation	transformers	### opus-mt-sv-bi * source languages: sv * target languages: bi * OPUS readme: [sv-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bi/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bi/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bi/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.bi \| 30.8 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-bi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "bi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-bi * source languages: sv * target languages: bi * OPUS readme: sv-bi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.8, chr-F: 0.496	[ "### opus-mt-sv-bi\n\n\n* source languages: sv\n* target languages: bi\n* OPUS readme: sv-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.8, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-bi\n\n\n* source languages: sv\n* target languages: bi\n* OPUS readme: sv-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.8, chr-F: 0.496" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-bi\n\n\n* source languages: sv\n* target languages: bi\n* OPUS readme: sv-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.8, chr-F: 0.496" ]
translation	transformers	### opus-mt-sv-bzs * source languages: sv * target languages: bzs * OPUS readme: [sv-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bzs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bzs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bzs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.bzs \| 29.4 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-bzs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-bzs * source languages: sv * target languages: bzs * OPUS readme: sv-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: 29.4, chr-F: 0.484	[ "### opus-mt-sv-bzs\n\n\n* source languages: sv\n* target languages: bzs\n* OPUS readme: sv-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: 29.4, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-bzs\n\n\n* source languages: sv\n* target languages: bzs\n* OPUS readme: sv-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: 29.4, chr-F: 0.484" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-bzs\n\n\n* source languages: sv\n* target languages: bzs\n* OPUS readme: sv-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: 29.4, chr-F: 0.484" ]
translation	transformers	### opus-mt-sv-ceb * source languages: sv * target languages: ceb * OPUS readme: [sv-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ceb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ceb/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ceb/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ceb/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ceb \| 39.2 \| 0.609 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ceb	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ceb * source languages: sv * target languages: ceb * OPUS readme: sv-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: 39.2, chr-F: 0.609	[ "### opus-mt-sv-ceb\n\n\n* source languages: sv\n* target languages: ceb\n* OPUS readme: sv-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: 39.2, chr-F: 0.609" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ceb\n\n\n* source languages: sv\n* target languages: ceb\n* OPUS readme: sv-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: 39.2, chr-F: 0.609" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ceb\n\n\n* source languages: sv\n* target languages: ceb\n* OPUS readme: sv-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: 39.2, chr-F: 0.609" ]
translation	transformers	### opus-mt-sv-chk * source languages: sv * target languages: chk * OPUS readme: [sv-chk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-chk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-chk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-chk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-chk/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.chk \| 20.7 \| 0.421 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-chk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "chk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #chk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-chk * source languages: sv * target languages: chk * OPUS readme: sv-chk * 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: 0.421	[ "### opus-mt-sv-chk\n\n\n* source languages: sv\n* target languages: chk\n* OPUS readme: sv-chk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.421" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #chk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-chk\n\n\n* source languages: sv\n* target languages: chk\n* OPUS readme: sv-chk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.421" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #chk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-chk\n\n\n* source languages: sv\n* target languages: chk\n* OPUS readme: sv-chk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.421" ]
translation	transformers	### opus-mt-sv-crs * source languages: sv * target languages: crs * OPUS readme: [sv-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-crs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-crs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-crs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.crs \| 32.4 \| 0.512 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-crs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-crs * source languages: sv * target languages: crs * OPUS readme: sv-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: 32.4, chr-F: 0.512	[ "### opus-mt-sv-crs\n\n\n* source languages: sv\n* target languages: crs\n* OPUS readme: sv-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: 32.4, chr-F: 0.512" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-crs\n\n\n* source languages: sv\n* target languages: crs\n* OPUS readme: sv-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: 32.4, chr-F: 0.512" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-crs\n\n\n* source languages: sv\n* target languages: crs\n* OPUS readme: sv-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: 32.4, chr-F: 0.512" ]
translation	transformers	### opus-mt-sv-cs * source languages: sv * target languages: cs * OPUS readme: [sv-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-cs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-cs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.cs \| 27.5 \| 0.488 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-cs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-cs * source languages: sv * target languages: cs * OPUS readme: sv-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: 27.5, chr-F: 0.488	[ "### opus-mt-sv-cs\n\n\n* source languages: sv\n* target languages: cs\n* OPUS readme: sv-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: 27.5, chr-F: 0.488" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-cs\n\n\n* source languages: sv\n* target languages: cs\n* OPUS readme: sv-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: 27.5, chr-F: 0.488" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-cs\n\n\n* source languages: sv\n* target languages: cs\n* OPUS readme: sv-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: 27.5, chr-F: 0.488" ]
translation	transformers	### opus-mt-sv-ee * source languages: sv * target languages: ee * OPUS readme: [sv-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ee \| 29.7 \| 0.508 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ee	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ee * source languages: sv * target languages: ee * OPUS readme: sv-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: 29.7, chr-F: 0.508	[ "### opus-mt-sv-ee\n\n\n* source languages: sv\n* target languages: ee\n* OPUS readme: sv-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: 29.7, chr-F: 0.508" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ee\n\n\n* source languages: sv\n* target languages: ee\n* OPUS readme: sv-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: 29.7, chr-F: 0.508" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ee\n\n\n* source languages: sv\n* target languages: ee\n* OPUS readme: sv-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: 29.7, chr-F: 0.508" ]
translation	transformers	### opus-mt-sv-efi * source languages: sv * target languages: efi * OPUS readme: [sv-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-efi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-efi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-efi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-efi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.efi \| 29.4 \| 0.502 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-efi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-efi * source languages: sv * target languages: efi * OPUS readme: sv-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: 29.4, chr-F: 0.502	[ "### opus-mt-sv-efi\n\n\n* source languages: sv\n* target languages: efi\n* OPUS readme: sv-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: 29.4, chr-F: 0.502" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-efi\n\n\n* source languages: sv\n* target languages: efi\n* OPUS readme: sv-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: 29.4, chr-F: 0.502" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-efi\n\n\n* source languages: sv\n* target languages: efi\n* OPUS readme: sv-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: 29.4, chr-F: 0.502" ]
translation	transformers	### opus-mt-sv-el * source languages: sv * target languages: el * OPUS readme: [sv-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-el/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-el/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-el/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.sv.el \| 20.8 \| 0.456 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-el	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-el * source languages: sv * target languages: el * OPUS readme: sv-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: 20.8, chr-F: 0.456	[ "### opus-mt-sv-el\n\n\n* source languages: sv\n* target languages: el\n* OPUS readme: sv-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: 20.8, chr-F: 0.456" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-el\n\n\n* source languages: sv\n* target languages: el\n* OPUS readme: sv-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: 20.8, chr-F: 0.456" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-el\n\n\n* source languages: sv\n* target languages: el\n* OPUS readme: sv-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: 20.8, chr-F: 0.456" ]
translation	transformers	### opus-mt-sv-en * source languages: sv * target languages: en * OPUS readme: [sv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-en/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/sv-en/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sv.en \| 64.5 \| 0.763 \|	{"license": "apache-2.0", "pipeline_tag": "translation"}	Helsinki-NLP/opus-mt-sv-en	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "sv", "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 #rust #marian #text2text-generation #translation #sv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-en * source languages: sv * target languages: en * OPUS readme: sv-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: 64.5, chr-F: 0.763	[ "### opus-mt-sv-en\n\n\n* source languages: sv\n* target languages: en\n* OPUS readme: sv-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: 64.5, chr-F: 0.763" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #sv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-en\n\n\n* source languages: sv\n* target languages: en\n* OPUS readme: sv-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: 64.5, chr-F: 0.763" ]	[ 53, 106 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #sv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-en\n\n\n* source languages: sv\n* target languages: en\n* OPUS readme: sv-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: 64.5, chr-F: 0.763" ]
translation	transformers	### swe-epo * source group: Swedish * target group: Esperanto * OPUS readme: [swe-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-epo/README.md) * model: transformer-align * source language(s): swe * 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/swe-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.swe.epo \| 29.7 \| 0.498 \| ### System Info: - hf_name: swe-epo - source_languages: swe - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sv', 'eo'] - src_constituents: {'swe'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-epo/opus-2020-06-16.test.txt - src_alpha3: swe - tgt_alpha3: epo - short_pair: sv-eo - chrF2_score: 0.498 - bleu: 29.7 - brevity_penalty: 0.958 - ref_len: 10987.0 - src_name: Swedish - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: sv - tgt_alpha2: eo - prefer_old: False - long_pair: swe-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sv", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sv", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### swe-epo * source group: Swedish * target group: Esperanto * OPUS readme: swe-epo * model: transformer-align * source language(s): swe * 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: 29.7, chr-F: 0.498 ### System Info: * hf\_name: swe-epo * source\_languages: swe * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sv', 'eo'] * src\_constituents: {'swe'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: swe * tgt\_alpha3: epo * short\_pair: sv-eo * chrF2\_score: 0.498 * bleu: 29.7 * brevity\_penalty: 0.958 * ref\_len: 10987.0 * src\_name: Swedish * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: sv * tgt\_alpha2: eo * prefer\_old: False * long\_pair: swe-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### swe-epo\n\n\n* source group: Swedish\n* target group: Esperanto\n* OPUS readme: swe-epo\n* model: transformer-align\n* source language(s): swe\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: 29.7, chr-F: 0.498", "### System Info:\n\n\n* hf\\_name: swe-epo\n* source\\_languages: swe\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sv', 'eo']\n* src\\_constituents: {'swe'}\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: swe\n* tgt\\_alpha3: epo\n* short\\_pair: sv-eo\n* chrF2\\_score: 0.498\n* bleu: 29.7\n* brevity\\_penalty: 0.958\n* ref\\_len: 10987.0\n* src\\_name: Swedish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: sv\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: swe-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 #sv #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### swe-epo\n\n\n* source group: Swedish\n* target group: Esperanto\n* OPUS readme: swe-epo\n* model: transformer-align\n* source language(s): swe\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: 29.7, chr-F: 0.498", "### System Info:\n\n\n* hf\\_name: swe-epo\n* source\\_languages: swe\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sv', 'eo']\n* src\\_constituents: {'swe'}\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: swe\n* tgt\\_alpha3: epo\n* short\\_pair: sv-eo\n* chrF2\\_score: 0.498\n* bleu: 29.7\n* brevity\\_penalty: 0.958\n* ref\\_len: 10987.0\n* src\\_name: Swedish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: sv\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: swe-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 139, 407 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### swe-epo\n\n\n* source group: Swedish\n* target group: Esperanto\n* OPUS readme: swe-epo\n* model: transformer-align\n* source language(s): swe\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: 29.7, chr-F: 0.498### System Info:\n\n\n* hf\\_name: swe-epo\n* source\\_languages: swe\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sv', 'eo']\n* src\\_constituents: {'swe'}\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: swe\n* tgt\\_alpha3: epo\n* short\\_pair: sv-eo\n* chrF2\\_score: 0.498\n* bleu: 29.7\n* brevity\\_penalty: 0.958\n* ref\\_len: 10987.0\n* src\\_name: Swedish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: sv\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: swe-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-sv-es * source languages: sv * target languages: es * OPUS readme: [sv-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-es/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/sv-es/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-es/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-es/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sv.es \| 52.1 \| 0.683 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-es * source languages: sv * target languages: es * OPUS readme: sv-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: 52.1, chr-F: 0.683	[ "### opus-mt-sv-es\n\n\n* source languages: sv\n* target languages: es\n* OPUS readme: sv-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: 52.1, chr-F: 0.683" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-es\n\n\n* source languages: sv\n* target languages: es\n* OPUS readme: sv-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: 52.1, chr-F: 0.683" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-es\n\n\n* source languages: sv\n* target languages: es\n* OPUS readme: sv-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: 52.1, chr-F: 0.683" ]
translation	transformers	### opus-mt-sv-et * source languages: sv * target languages: et * OPUS readme: [sv-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-et/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-et/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-et/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-et/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.et \| 23.5 \| 0.497 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-et	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-et * source languages: sv * target languages: et * OPUS readme: sv-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: 23.5, chr-F: 0.497	[ "### opus-mt-sv-et\n\n\n* source languages: sv\n* target languages: et\n* OPUS readme: sv-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: 23.5, chr-F: 0.497" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-et\n\n\n* source languages: sv\n* target languages: et\n* OPUS readme: sv-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: 23.5, chr-F: 0.497" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-et\n\n\n* source languages: sv\n* target languages: et\n* OPUS readme: sv-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: 23.5, chr-F: 0.497" ]
translation	transformers	### opus-mt-sv-fi * source languages: sv * target languages: fi * OPUS readme: [sv-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fi/README.md) * dataset: opus+bt * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus+bt-2020-04-07.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-fi/opus+bt-2020-04-07.zip) * test set translations: [opus+bt-2020-04-07.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fi/opus+bt-2020-04-07.test.txt) * test set scores: [opus+bt-2020-04-07.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fi/opus+bt-2020-04-07.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| fiskmo_testset.sv.fi \| 26.9 \| 0.623 \| \| Tatoeba.sv.fi \| 45.2 \| 0.678 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-fi * source languages: sv * target languages: fi * OPUS readme: sv-fi * 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: 26.9, chr-F: 0.623 testset: URL, BLEU: 45.2, chr-F: 0.678	[ "### opus-mt-sv-fi\n\n\n* source languages: sv\n* target languages: fi\n* OPUS readme: sv-fi\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: 26.9, chr-F: 0.623\ntestset: URL, BLEU: 45.2, chr-F: 0.678" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-fi\n\n\n* source languages: sv\n* target languages: fi\n* OPUS readme: sv-fi\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: 26.9, chr-F: 0.623\ntestset: URL, BLEU: 45.2, chr-F: 0.678" ]	[ 51, 145 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-fi\n\n\n* source languages: sv\n* target languages: fi\n* OPUS readme: sv-fi\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: 26.9, chr-F: 0.623\ntestset: URL, BLEU: 45.2, chr-F: 0.678" ]
translation	transformers	### opus-mt-sv-fj * source languages: sv * target languages: fj * OPUS readme: [sv-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-fj/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fj/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fj/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.fj \| 27.8 \| 0.504 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-fj	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-fj * source languages: sv * target languages: fj * OPUS readme: sv-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: 27.8, chr-F: 0.504	[ "### opus-mt-sv-fj\n\n\n* source languages: sv\n* target languages: fj\n* OPUS readme: sv-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: 27.8, chr-F: 0.504" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-fj\n\n\n* source languages: sv\n* target languages: fj\n* OPUS readme: sv-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: 27.8, chr-F: 0.504" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-fj\n\n\n* source languages: sv\n* target languages: fj\n* OPUS readme: sv-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: 27.8, chr-F: 0.504" ]
translation	transformers	### opus-mt-sv-fr * source languages: sv * target languages: fr * OPUS readme: [sv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fr/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/sv-fr/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fr/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fr/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sv.fr \| 59.7 \| 0.731 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-fr * source languages: sv * target languages: fr * OPUS readme: sv-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: 59.7, chr-F: 0.731	[ "### opus-mt-sv-fr\n\n\n* source languages: sv\n* target languages: fr\n* OPUS readme: sv-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: 59.7, chr-F: 0.731" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-fr\n\n\n* source languages: sv\n* target languages: fr\n* OPUS readme: sv-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: 59.7, chr-F: 0.731" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-fr\n\n\n* source languages: sv\n* target languages: fr\n* OPUS readme: sv-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: 59.7, chr-F: 0.731" ]
translation	transformers	### opus-mt-sv-gaa * source languages: sv * target languages: gaa * OPUS readme: [sv-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-gaa/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-gaa/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-gaa/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.gaa \| 31.3 \| 0.522 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-gaa	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-gaa * source languages: sv * target languages: gaa * OPUS readme: sv-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: 31.3, chr-F: 0.522	[ "### opus-mt-sv-gaa\n\n\n* source languages: sv\n* target languages: gaa\n* OPUS readme: sv-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: 31.3, chr-F: 0.522" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-gaa\n\n\n* source languages: sv\n* target languages: gaa\n* OPUS readme: sv-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: 31.3, chr-F: 0.522" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-gaa\n\n\n* source languages: sv\n* target languages: gaa\n* OPUS readme: sv-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: 31.3, chr-F: 0.522" ]
translation	transformers	### opus-mt-sv-gil * source languages: sv * target languages: gil * OPUS readme: [sv-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-gil/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-gil/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-gil/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.gil \| 28.9 \| 0.520 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-gil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-gil * source languages: sv * target languages: gil * OPUS readme: sv-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: 28.9, chr-F: 0.520	[ "### opus-mt-sv-gil\n\n\n* source languages: sv\n* target languages: gil\n* OPUS readme: sv-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: 28.9, chr-F: 0.520" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-gil\n\n\n* source languages: sv\n* target languages: gil\n* OPUS readme: sv-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: 28.9, chr-F: 0.520" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-gil\n\n\n* source languages: sv\n* target languages: gil\n* OPUS readme: sv-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: 28.9, chr-F: 0.520" ]
translation	transformers	### opus-mt-sv-guw * source languages: sv * target languages: guw * OPUS readme: [sv-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-guw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-guw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-guw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.guw \| 33.5 \| 0.531 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-guw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-guw * source languages: sv * target languages: guw * OPUS readme: sv-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: 33.5, chr-F: 0.531	[ "### opus-mt-sv-guw\n\n\n* source languages: sv\n* target languages: guw\n* OPUS readme: sv-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: 33.5, chr-F: 0.531" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-guw\n\n\n* source languages: sv\n* target languages: guw\n* OPUS readme: sv-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: 33.5, chr-F: 0.531" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-guw\n\n\n* source languages: sv\n* target languages: guw\n* OPUS readme: sv-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: 33.5, chr-F: 0.531" ]
translation	transformers	### opus-mt-sv-ha * source languages: sv * target languages: ha * OPUS readme: [sv-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ha/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ha/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ha/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ha \| 26.2 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ha	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ha * source languages: sv * target languages: ha * OPUS readme: sv-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: 26.2, chr-F: 0.481	[ "### opus-mt-sv-ha\n\n\n* source languages: sv\n* target languages: ha\n* OPUS readme: sv-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: 26.2, chr-F: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ha\n\n\n* source languages: sv\n* target languages: ha\n* OPUS readme: sv-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: 26.2, chr-F: 0.481" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ha\n\n\n* source languages: sv\n* target languages: ha\n* OPUS readme: sv-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: 26.2, chr-F: 0.481" ]
translation	transformers	### opus-mt-sv-he * source languages: sv * target languages: he * OPUS readme: [sv-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-he/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-he/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-he/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-he/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.he \| 23.1 \| 0.440 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-he	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-he * source languages: sv * target languages: he * OPUS readme: sv-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: 23.1, chr-F: 0.440	[ "### opus-mt-sv-he\n\n\n* source languages: sv\n* target languages: he\n* OPUS readme: sv-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: 23.1, chr-F: 0.440" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-he\n\n\n* source languages: sv\n* target languages: he\n* OPUS readme: sv-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: 23.1, chr-F: 0.440" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-he\n\n\n* source languages: sv\n* target languages: he\n* OPUS readme: sv-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: 23.1, chr-F: 0.440" ]
translation	transformers	### opus-mt-sv-hil * source languages: sv * target languages: hil * OPUS readme: [sv-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-hil/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hil/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hil/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.hil \| 38.2 \| 0.610 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-hil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-hil * source languages: sv * target languages: hil * OPUS readme: sv-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: 38.2, chr-F: 0.610	[ "### opus-mt-sv-hil\n\n\n* source languages: sv\n* target languages: hil\n* OPUS readme: sv-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: 38.2, chr-F: 0.610" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-hil\n\n\n* source languages: sv\n* target languages: hil\n* OPUS readme: sv-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: 38.2, chr-F: 0.610" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-hil\n\n\n* source languages: sv\n* target languages: hil\n* OPUS readme: sv-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: 38.2, chr-F: 0.610" ]
translation	transformers	### opus-mt-sv-ho * source languages: sv * target languages: ho * OPUS readme: [sv-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ho/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ho/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ho/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ho \| 26.7 \| 0.503 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ho	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ho * source languages: sv * target languages: ho * OPUS readme: sv-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: 26.7, chr-F: 0.503	[ "### opus-mt-sv-ho\n\n\n* source languages: sv\n* target languages: ho\n* OPUS readme: sv-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: 26.7, chr-F: 0.503" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ho\n\n\n* source languages: sv\n* target languages: ho\n* OPUS readme: sv-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: 26.7, chr-F: 0.503" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ho\n\n\n* source languages: sv\n* target languages: ho\n* OPUS readme: sv-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: 26.7, chr-F: 0.503" ]
translation	transformers	### opus-mt-sv-hr * source languages: sv * target languages: hr * OPUS readme: [sv-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.hr \| 25.7 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-hr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-hr * source languages: sv * target languages: hr * OPUS readme: sv-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: 25.7, chr-F: 0.498	[ "### opus-mt-sv-hr\n\n\n* source languages: sv\n* target languages: hr\n* OPUS readme: sv-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: 25.7, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-hr\n\n\n* source languages: sv\n* target languages: hr\n* OPUS readme: sv-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: 25.7, chr-F: 0.498" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-hr\n\n\n* source languages: sv\n* target languages: hr\n* OPUS readme: sv-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: 25.7, chr-F: 0.498" ]
translation	transformers	### opus-mt-sv-ht * source languages: sv * target languages: ht * OPUS readme: [sv-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ht/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ht/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ht/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ht \| 28.0 \| 0.457 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ht	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ht * source languages: sv * target languages: ht * OPUS readme: sv-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: 28.0, chr-F: 0.457	[ "### opus-mt-sv-ht\n\n\n* source languages: sv\n* target languages: ht\n* OPUS readme: sv-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: 28.0, chr-F: 0.457" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ht\n\n\n* source languages: sv\n* target languages: ht\n* OPUS readme: sv-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: 28.0, chr-F: 0.457" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ht\n\n\n* source languages: sv\n* target languages: ht\n* OPUS readme: sv-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: 28.0, chr-F: 0.457" ]
translation	transformers	### opus-mt-sv-hu * source languages: sv * target languages: hu * OPUS readme: [sv-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-hu/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hu/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hu/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sv.hu \| 44.6 \| 0.660 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-hu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-hu * source languages: sv * target languages: hu * OPUS readme: sv-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: 44.6, chr-F: 0.660	[ "### opus-mt-sv-hu\n\n\n* source languages: sv\n* target languages: hu\n* OPUS readme: sv-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: 44.6, chr-F: 0.660" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-hu\n\n\n* source languages: sv\n* target languages: hu\n* OPUS readme: sv-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: 44.6, chr-F: 0.660" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-hu\n\n\n* source languages: sv\n* target languages: hu\n* OPUS readme: sv-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: 44.6, chr-F: 0.660" ]
translation	transformers	### opus-mt-sv-id * source languages: sv * target languages: id * OPUS readme: [sv-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-id/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.id \| 35.6 \| 0.581 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-id	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-id * source languages: sv * target languages: id * OPUS readme: sv-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: 35.6, chr-F: 0.581	[ "### opus-mt-sv-id\n\n\n* source languages: sv\n* target languages: id\n* OPUS readme: sv-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: 35.6, chr-F: 0.581" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-id\n\n\n* source languages: sv\n* target languages: id\n* OPUS readme: sv-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: 35.6, chr-F: 0.581" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-id\n\n\n* source languages: sv\n* target languages: id\n* OPUS readme: sv-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: 35.6, chr-F: 0.581" ]
translation	transformers	### opus-mt-sv-ig * source languages: sv * target languages: ig * OPUS readme: [sv-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ig \| 31.1 \| 0.479 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ig	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ig * source languages: sv * target languages: ig * OPUS readme: sv-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: 31.1, chr-F: 0.479	[ "### opus-mt-sv-ig\n\n\n* source languages: sv\n* target languages: ig\n* OPUS readme: sv-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: 31.1, chr-F: 0.479" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ig\n\n\n* source languages: sv\n* target languages: ig\n* OPUS readme: sv-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: 31.1, chr-F: 0.479" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ig\n\n\n* source languages: sv\n* target languages: ig\n* OPUS readme: sv-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: 31.1, chr-F: 0.479" ]
translation	transformers	### opus-mt-sv-ilo * source languages: sv * target languages: ilo * OPUS readme: [sv-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ilo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ilo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ilo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ilo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ilo \| 34.8 \| 0.578 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ilo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ilo * source languages: sv * target languages: ilo * OPUS readme: sv-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: 34.8, chr-F: 0.578	[ "### opus-mt-sv-ilo\n\n\n* source languages: sv\n* target languages: ilo\n* OPUS readme: sv-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: 34.8, chr-F: 0.578" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ilo\n\n\n* source languages: sv\n* target languages: ilo\n* OPUS readme: sv-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: 34.8, chr-F: 0.578" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ilo\n\n\n* source languages: sv\n* target languages: ilo\n* OPUS readme: sv-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: 34.8, chr-F: 0.578" ]
translation	transformers	### opus-mt-sv-is * source languages: sv * target languages: is * OPUS readme: [sv-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-is/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-is/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-is/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-is/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.is \| 27.1 \| 0.471 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-is	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-is * source languages: sv * target languages: is * OPUS readme: sv-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: 27.1, chr-F: 0.471	[ "### opus-mt-sv-is\n\n\n* source languages: sv\n* target languages: is\n* OPUS readme: sv-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: 27.1, chr-F: 0.471" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-is\n\n\n* source languages: sv\n* target languages: is\n* OPUS readme: sv-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: 27.1, chr-F: 0.471" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-is\n\n\n* source languages: sv\n* target languages: is\n* OPUS readme: sv-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: 27.1, chr-F: 0.471" ]
translation	transformers	### opus-mt-sv-iso * source languages: sv * target languages: iso * OPUS readme: [sv-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-iso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-iso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-iso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.iso \| 27.2 \| 0.447 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-iso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-iso * source languages: sv * target languages: iso * OPUS readme: sv-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: 27.2, chr-F: 0.447	[ "### opus-mt-sv-iso\n\n\n* source languages: sv\n* target languages: iso\n* OPUS readme: sv-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: 27.2, chr-F: 0.447" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-iso\n\n\n* source languages: sv\n* target languages: iso\n* OPUS readme: sv-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: 27.2, chr-F: 0.447" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-iso\n\n\n* source languages: sv\n* target languages: iso\n* OPUS readme: sv-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: 27.2, chr-F: 0.447" ]
translation	transformers	### opus-mt-sv-kg * source languages: sv * target languages: kg * OPUS readme: [sv-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-kg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.kg \| 30.7 \| 0.538 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-kg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-kg * source languages: sv * target languages: kg * OPUS readme: sv-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: 30.7, chr-F: 0.538	[ "### opus-mt-sv-kg\n\n\n* source languages: sv\n* target languages: kg\n* OPUS readme: sv-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: 30.7, chr-F: 0.538" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-kg\n\n\n* source languages: sv\n* target languages: kg\n* OPUS readme: sv-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: 30.7, chr-F: 0.538" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-kg\n\n\n* source languages: sv\n* target languages: kg\n* OPUS readme: sv-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: 30.7, chr-F: 0.538" ]
translation	transformers	### opus-mt-sv-kqn * source languages: sv * target languages: kqn * OPUS readme: [sv-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-kqn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-kqn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kqn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kqn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.kqn \| 24.0 \| 0.491 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-kqn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-kqn * source languages: sv * target languages: kqn * OPUS readme: sv-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: 24.0, chr-F: 0.491	[ "### opus-mt-sv-kqn\n\n\n* source languages: sv\n* target languages: kqn\n* OPUS readme: sv-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: 24.0, chr-F: 0.491" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-kqn\n\n\n* source languages: sv\n* target languages: kqn\n* OPUS readme: sv-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: 24.0, chr-F: 0.491" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-kqn\n\n\n* source languages: sv\n* target languages: kqn\n* OPUS readme: sv-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: 24.0, chr-F: 0.491" ]
translation	transformers	### opus-mt-sv-kwy * source languages: sv * target languages: kwy * OPUS readme: [sv-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-kwy/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-kwy/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kwy/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kwy/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.kwy \| 21.4 \| 0.437 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-kwy	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "kwy", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-kwy * source languages: sv * target languages: kwy * OPUS readme: sv-kwy * 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: 0.437	[ "### opus-mt-sv-kwy\n\n\n* source languages: sv\n* target languages: kwy\n* OPUS readme: sv-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.437" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-kwy\n\n\n* source languages: sv\n* target languages: kwy\n* OPUS readme: sv-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.437" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-kwy\n\n\n* source languages: sv\n* target languages: kwy\n* OPUS readme: sv-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.437" ]
translation	transformers	### opus-mt-sv-lg * source languages: sv * target languages: lg * OPUS readme: [sv-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.lg \| 22.2 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-lg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-lg * source languages: sv * target languages: lg * OPUS readme: sv-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: 22.2, chr-F: 0.481	[ "### opus-mt-sv-lg\n\n\n* source languages: sv\n* target languages: lg\n* OPUS readme: sv-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: 22.2, chr-F: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-lg\n\n\n* source languages: sv\n* target languages: lg\n* OPUS readme: sv-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: 22.2, chr-F: 0.481" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-lg\n\n\n* source languages: sv\n* target languages: lg\n* OPUS readme: sv-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: 22.2, chr-F: 0.481" ]
translation	transformers	### opus-mt-sv-ln * source languages: sv * target languages: ln * OPUS readme: [sv-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ln/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ln/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ln/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ln \| 30.6 \| 0.541 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ln	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ln * source languages: sv * target languages: ln * OPUS readme: sv-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: 30.6, chr-F: 0.541	[ "### opus-mt-sv-ln\n\n\n* source languages: sv\n* target languages: ln\n* OPUS readme: sv-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: 30.6, chr-F: 0.541" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ln\n\n\n* source languages: sv\n* target languages: ln\n* OPUS readme: sv-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: 30.6, chr-F: 0.541" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ln\n\n\n* source languages: sv\n* target languages: ln\n* OPUS readme: sv-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: 30.6, chr-F: 0.541" ]
translation	transformers	### opus-mt-sv-lu * source languages: sv * target languages: lu * OPUS readme: [sv-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lu/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lu/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lu/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.lu \| 24.8 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-lu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-lu * source languages: sv * target languages: lu * OPUS readme: sv-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: 24.8, chr-F: 0.484	[ "### opus-mt-sv-lu\n\n\n* source languages: sv\n* target languages: lu\n* OPUS readme: sv-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: 24.8, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-lu\n\n\n* source languages: sv\n* target languages: lu\n* OPUS readme: sv-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: 24.8, chr-F: 0.484" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-lu\n\n\n* source languages: sv\n* target languages: lu\n* OPUS readme: sv-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: 24.8, chr-F: 0.484" ]
translation	transformers	### opus-mt-sv-lua * source languages: sv * target languages: lua * OPUS readme: [sv-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lua/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.lua \| 27.2 \| 0.513 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-lua	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-lua * source languages: sv * target languages: lua * OPUS readme: sv-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: 27.2, chr-F: 0.513	[ "### opus-mt-sv-lua\n\n\n* source languages: sv\n* target languages: lua\n* OPUS readme: sv-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: 27.2, chr-F: 0.513" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-lua\n\n\n* source languages: sv\n* target languages: lua\n* OPUS readme: sv-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: 27.2, chr-F: 0.513" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-lua\n\n\n* source languages: sv\n* target languages: lua\n* OPUS readme: sv-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: 27.2, chr-F: 0.513" ]
translation	transformers	### opus-mt-sv-lue * source languages: sv * target languages: lue * OPUS readme: [sv-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lue/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.lue \| 22.6 \| 0.502 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-lue	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-lue * source languages: sv * target languages: lue * OPUS readme: sv-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: 22.6, chr-F: 0.502	[ "### opus-mt-sv-lue\n\n\n* source languages: sv\n* target languages: lue\n* OPUS readme: sv-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: 22.6, chr-F: 0.502" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-lue\n\n\n* source languages: sv\n* target languages: lue\n* OPUS readme: sv-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: 22.6, chr-F: 0.502" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-lue\n\n\n* source languages: sv\n* target languages: lue\n* OPUS readme: sv-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: 22.6, chr-F: 0.502" ]
translation	transformers	### opus-mt-sv-lus * source languages: sv * target languages: lus * OPUS readme: [sv-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lus/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lus/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lus/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lus/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.lus \| 26.7 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-lus	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-lus * source languages: sv * target languages: lus * OPUS readme: sv-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: 26.7, chr-F: 0.484	[ "### opus-mt-sv-lus\n\n\n* source languages: sv\n* target languages: lus\n* OPUS readme: sv-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: 26.7, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-lus\n\n\n* source languages: sv\n* target languages: lus\n* OPUS readme: sv-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: 26.7, chr-F: 0.484" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-lus\n\n\n* source languages: sv\n* target languages: lus\n* OPUS readme: sv-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: 26.7, chr-F: 0.484" ]
translation	transformers	### opus-mt-sv-lv * source languages: sv * target languages: lv * OPUS readme: [sv-lv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.lv \| 20.2 \| 0.433 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-lv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-lv * source languages: sv * target languages: lv * OPUS readme: sv-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: 20.2, chr-F: 0.433	[ "### opus-mt-sv-lv\n\n\n* source languages: sv\n* target languages: lv\n* OPUS readme: sv-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: 20.2, chr-F: 0.433" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-lv\n\n\n* source languages: sv\n* target languages: lv\n* OPUS readme: sv-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: 20.2, chr-F: 0.433" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #lv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-lv\n\n\n* source languages: sv\n* target languages: lv\n* OPUS readme: sv-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: 20.2, chr-F: 0.433" ]
translation	transformers	### opus-mt-sv-mfe * source languages: sv * target languages: mfe * OPUS readme: [sv-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mfe/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-mfe/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mfe/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mfe/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.mfe \| 24.3 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-mfe	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-mfe * source languages: sv * target languages: mfe * OPUS readme: sv-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: 24.3, chr-F: 0.445	[ "### opus-mt-sv-mfe\n\n\n* source languages: sv\n* target languages: mfe\n* OPUS readme: sv-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: 24.3, chr-F: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-mfe\n\n\n* source languages: sv\n* target languages: mfe\n* OPUS readme: sv-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: 24.3, chr-F: 0.445" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-mfe\n\n\n* source languages: sv\n* target languages: mfe\n* OPUS readme: sv-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: 24.3, chr-F: 0.445" ]
translation	transformers	### opus-mt-sv-mh * source languages: sv * target languages: mh * OPUS readme: [sv-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-mh/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mh/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mh/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.mh \| 23.8 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-mh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-mh * source languages: sv * target languages: mh * OPUS readme: sv-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: 23.8, chr-F: 0.434	[ "### opus-mt-sv-mh\n\n\n* source languages: sv\n* target languages: mh\n* OPUS readme: sv-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: 23.8, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-mh\n\n\n* source languages: sv\n* target languages: mh\n* OPUS readme: sv-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: 23.8, chr-F: 0.434" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-mh\n\n\n* source languages: sv\n* target languages: mh\n* OPUS readme: sv-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: 23.8, chr-F: 0.434" ]
translation	transformers	### opus-mt-sv-mos * source languages: sv * target languages: mos * OPUS readme: [sv-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mos/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.mos \| 22.4 \| 0.379 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-mos	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-mos * source languages: sv * target languages: mos * OPUS readme: sv-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: 22.4, chr-F: 0.379	[ "### opus-mt-sv-mos\n\n\n* source languages: sv\n* target languages: mos\n* OPUS readme: sv-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: 22.4, chr-F: 0.379" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-mos\n\n\n* source languages: sv\n* target languages: mos\n* OPUS readme: sv-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: 22.4, chr-F: 0.379" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-mos\n\n\n* source languages: sv\n* target languages: mos\n* OPUS readme: sv-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: 22.4, chr-F: 0.379" ]
translation	transformers	### opus-mt-sv-mt * source languages: sv * target languages: mt * OPUS readme: [sv-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-mt/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mt/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mt/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.mt \| 32.2 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-mt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-mt * source languages: sv * target languages: mt * OPUS readme: sv-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: 32.2, chr-F: 0.509	[ "### opus-mt-sv-mt\n\n\n* source languages: sv\n* target languages: mt\n* OPUS readme: sv-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: 32.2, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-mt\n\n\n* source languages: sv\n* target languages: mt\n* OPUS readme: sv-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: 32.2, chr-F: 0.509" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-mt\n\n\n* source languages: sv\n* target languages: mt\n* OPUS readme: sv-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: 32.2, chr-F: 0.509" ]
translation	transformers	### opus-mt-sv-niu * source languages: sv * target languages: niu * OPUS readme: [sv-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-niu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-niu/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-niu/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-niu/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.niu \| 37.0 \| 0.575 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-niu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-niu * source languages: sv * target languages: niu * OPUS readme: sv-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: 37.0, chr-F: 0.575	[ "### opus-mt-sv-niu\n\n\n* source languages: sv\n* target languages: niu\n* OPUS readme: sv-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: 37.0, chr-F: 0.575" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-niu\n\n\n* source languages: sv\n* target languages: niu\n* OPUS readme: sv-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: 37.0, chr-F: 0.575" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-niu\n\n\n* source languages: sv\n* target languages: niu\n* OPUS readme: sv-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: 37.0, chr-F: 0.575" ]
translation	transformers	### opus-mt-sv-nl * source languages: sv * target languages: nl * OPUS readme: [sv-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.sv.nl \| 24.3 \| 0.522 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-nl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-nl * source languages: sv * target languages: nl * OPUS readme: sv-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: 24.3, chr-F: 0.522	[ "### opus-mt-sv-nl\n\n\n* source languages: sv\n* target languages: nl\n* OPUS readme: sv-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: 24.3, chr-F: 0.522" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-nl\n\n\n* source languages: sv\n* target languages: nl\n* OPUS readme: sv-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: 24.3, chr-F: 0.522" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-nl\n\n\n* source languages: sv\n* target languages: nl\n* OPUS readme: sv-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: 24.3, chr-F: 0.522" ]
translation	transformers	### swe-nor * source group: Swedish * target group: Norwegian * OPUS readme: [swe-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-nor/README.md) * model: transformer-align * source language(s): swe * 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/swe-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.swe.nor \| 65.8 \| 0.796 \| ### System Info: - hf_name: swe-nor - source_languages: swe - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sv', 'no'] - src_constituents: {'swe'} - 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/swe-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.test.txt - src_alpha3: swe - tgt_alpha3: nor - short_pair: sv-no - chrF2_score: 0.7959999999999999 - bleu: 65.8 - brevity_penalty: 0.991 - ref_len: 3682.0 - src_name: Swedish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: sv - tgt_alpha2: no - prefer_old: False - long_pair: swe-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sv", false], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-no	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "sv", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### swe-nor * source group: Swedish * target group: Norwegian * OPUS readme: swe-nor * model: transformer-align * source language(s): swe * 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: 65.8, chr-F: 0.796 ### System Info: * hf\_name: swe-nor * source\_languages: swe * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sv', 'no'] * src\_constituents: {'swe'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: swe * tgt\_alpha3: nor * short\_pair: sv-no * chrF2\_score: 0.7959999999999999 * bleu: 65.8 * brevity\_penalty: 0.991 * ref\_len: 3682.0 * src\_name: Swedish * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: sv * tgt\_alpha2: no * prefer\_old: False * long\_pair: swe-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### swe-nor\n\n\n* source group: Swedish\n* target group: Norwegian\n* OPUS readme: swe-nor\n* model: transformer-align\n* source language(s): swe\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: 65.8, chr-F: 0.796", "### System Info:\n\n\n* hf\\_name: swe-nor\n* source\\_languages: swe\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sv', 'no']\n* src\\_constituents: {'swe'}\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: swe\n* tgt\\_alpha3: nor\n* short\\_pair: sv-no\n* chrF2\\_score: 0.7959999999999999\n* bleu: 65.8\n* brevity\\_penalty: 0.991\n* ref\\_len: 3682.0\n* src\\_name: Swedish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sv\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: swe-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 #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### swe-nor\n\n\n* source group: Swedish\n* target group: Norwegian\n* OPUS readme: swe-nor\n* model: transformer-align\n* source language(s): swe\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: 65.8, chr-F: 0.796", "### System Info:\n\n\n* hf\\_name: swe-nor\n* source\\_languages: swe\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sv', 'no']\n* src\\_constituents: {'swe'}\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: swe\n* tgt\\_alpha3: nor\n* short\\_pair: sv-no\n* chrF2\\_score: 0.7959999999999999\n* bleu: 65.8\n* brevity\\_penalty: 0.991\n* ref\\_len: 3682.0\n* src\\_name: Swedish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sv\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: swe-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 164, 415 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### swe-nor\n\n\n* source group: Swedish\n* target group: Norwegian\n* OPUS readme: swe-nor\n* model: transformer-align\n* source language(s): swe\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: 65.8, chr-F: 0.796### System Info:\n\n\n* hf\\_name: swe-nor\n* source\\_languages: swe\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sv', 'no']\n* src\\_constituents: {'swe'}\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: swe\n* tgt\\_alpha3: nor\n* short\\_pair: sv-no\n* chrF2\\_score: 0.7959999999999999\n* bleu: 65.8\n* brevity\\_penalty: 0.991\n* ref\\_len: 3682.0\n* src\\_name: Swedish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: sv\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: swe-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-sv-nso * source languages: sv * target languages: nso * OPUS readme: [sv-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.nso \| 37.9 \| 0.575 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-nso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-nso * source languages: sv * target languages: nso * OPUS readme: sv-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: 37.9, chr-F: 0.575	[ "### opus-mt-sv-nso\n\n\n* source languages: sv\n* target languages: nso\n* OPUS readme: sv-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: 37.9, chr-F: 0.575" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-nso\n\n\n* source languages: sv\n* target languages: nso\n* OPUS readme: sv-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: 37.9, chr-F: 0.575" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-nso\n\n\n* source languages: sv\n* target languages: nso\n* OPUS readme: sv-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: 37.9, chr-F: 0.575" ]
translation	transformers	### opus-mt-sv-ny * source languages: sv * target languages: ny * OPUS readme: [sv-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ny/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ny/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ny/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ny/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ny \| 25.9 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ny	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ny * source languages: sv * target languages: ny * OPUS readme: sv-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: 25.9, chr-F: 0.523	[ "### opus-mt-sv-ny\n\n\n* source languages: sv\n* target languages: ny\n* OPUS readme: sv-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: 25.9, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ny\n\n\n* source languages: sv\n* target languages: ny\n* OPUS readme: sv-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: 25.9, chr-F: 0.523" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ny\n\n\n* source languages: sv\n* target languages: ny\n* OPUS readme: sv-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: 25.9, chr-F: 0.523" ]
translation	transformers	### opus-mt-sv-pag * source languages: sv * target languages: pag * OPUS readme: [sv-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pag/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-pag/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pag/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pag/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.pag \| 29.3 \| 0.522 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-pag	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-pag * source languages: sv * target languages: pag * OPUS readme: sv-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: 29.3, chr-F: 0.522	[ "### opus-mt-sv-pag\n\n\n* source languages: sv\n* target languages: pag\n* OPUS readme: sv-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: 29.3, chr-F: 0.522" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-pag\n\n\n* source languages: sv\n* target languages: pag\n* OPUS readme: sv-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: 29.3, chr-F: 0.522" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-pag\n\n\n* source languages: sv\n* target languages: pag\n* OPUS readme: sv-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: 29.3, chr-F: 0.522" ]
translation	transformers	### opus-mt-sv-pap * source languages: sv * target languages: pap * OPUS readme: [sv-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.pap \| 31.0 \| 0.505 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-pap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-pap * source languages: sv * target languages: pap * OPUS readme: sv-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: 31.0, chr-F: 0.505	[ "### opus-mt-sv-pap\n\n\n* source languages: sv\n* target languages: pap\n* OPUS readme: sv-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: 31.0, chr-F: 0.505" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-pap\n\n\n* source languages: sv\n* target languages: pap\n* OPUS readme: sv-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: 31.0, chr-F: 0.505" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-pap\n\n\n* source languages: sv\n* target languages: pap\n* OPUS readme: sv-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: 31.0, chr-F: 0.505" ]
translation	transformers	### opus-mt-sv-pis * source languages: sv * target languages: pis * OPUS readme: [sv-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-pis/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pis/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pis/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.pis \| 30.9 \| 0.519 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-pis	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-pis * source languages: sv * target languages: pis * OPUS readme: sv-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: 30.9, chr-F: 0.519	[ "### opus-mt-sv-pis\n\n\n* source languages: sv\n* target languages: pis\n* OPUS readme: sv-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: 30.9, chr-F: 0.519" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-pis\n\n\n* source languages: sv\n* target languages: pis\n* OPUS readme: sv-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: 30.9, chr-F: 0.519" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-pis\n\n\n* source languages: sv\n* target languages: pis\n* OPUS readme: sv-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: 30.9, chr-F: 0.519" ]
translation	transformers	### opus-mt-sv-pon * source languages: sv * target languages: pon * OPUS readme: [sv-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pon/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-pon/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pon/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pon/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.pon \| 26.0 \| 0.491 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-pon	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-pon * source languages: sv * target languages: pon * OPUS readme: sv-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: 26.0, chr-F: 0.491	[ "### opus-mt-sv-pon\n\n\n* source languages: sv\n* target languages: pon\n* OPUS readme: sv-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: 26.0, chr-F: 0.491" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-pon\n\n\n* source languages: sv\n* target languages: pon\n* OPUS readme: sv-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: 26.0, chr-F: 0.491" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-pon\n\n\n* source languages: sv\n* target languages: pon\n* OPUS readme: sv-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: 26.0, chr-F: 0.491" ]
translation	transformers	### opus-mt-sv-rnd * source languages: sv * target languages: rnd * OPUS readme: [sv-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-rnd/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-rnd/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rnd/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rnd/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.rnd \| 20.3 \| 0.433 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-rnd	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "rnd", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-rnd * source languages: sv * target languages: rnd * OPUS readme: sv-rnd * 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: 20.3, chr-F: 0.433	[ "### opus-mt-sv-rnd\n\n\n* source languages: sv\n* target languages: rnd\n* OPUS readme: sv-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.433" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-rnd\n\n\n* source languages: sv\n* target languages: rnd\n* OPUS readme: sv-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.433" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-rnd\n\n\n* source languages: sv\n* target languages: rnd\n* OPUS readme: sv-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.433" ]
translation	transformers	### opus-mt-sv-ro * source languages: sv * target languages: ro * OPUS readme: [sv-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ro/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ro/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ro/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ro \| 29.5 \| 0.510 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ro	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ro * source languages: sv * target languages: ro * OPUS readme: sv-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: 29.5, chr-F: 0.510	[ "### opus-mt-sv-ro\n\n\n* source languages: sv\n* target languages: ro\n* OPUS readme: sv-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: 29.5, chr-F: 0.510" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ro\n\n\n* source languages: sv\n* target languages: ro\n* OPUS readme: sv-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: 29.5, chr-F: 0.510" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ro\n\n\n* source languages: sv\n* target languages: ro\n* OPUS readme: sv-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: 29.5, chr-F: 0.510" ]
translation	transformers	### opus-mt-sv-ru * source languages: sv * target languages: ru * OPUS readme: [sv-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ru/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/sv-ru/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ru/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ru/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sv.ru \| 46.6 \| 0.662 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ru * source languages: sv * target languages: ru * OPUS readme: sv-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: 46.6, chr-F: 0.662	[ "### opus-mt-sv-ru\n\n\n* source languages: sv\n* target languages: ru\n* OPUS readme: sv-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: 46.6, chr-F: 0.662" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ru\n\n\n* source languages: sv\n* target languages: ru\n* OPUS readme: sv-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: 46.6, chr-F: 0.662" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ru\n\n\n* source languages: sv\n* target languages: ru\n* OPUS readme: sv-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: 46.6, chr-F: 0.662" ]
translation	transformers	### opus-mt-sv-run * source languages: sv * target languages: run * OPUS readme: [sv-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-run/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-run/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-run/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-run/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.run \| 24.4 \| 0.502 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-run	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-run * source languages: sv * target languages: run * OPUS readme: sv-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: 24.4, chr-F: 0.502	[ "### opus-mt-sv-run\n\n\n* source languages: sv\n* target languages: run\n* OPUS readme: sv-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: 24.4, chr-F: 0.502" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-run\n\n\n* source languages: sv\n* target languages: run\n* OPUS readme: sv-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: 24.4, chr-F: 0.502" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-run\n\n\n* source languages: sv\n* target languages: run\n* OPUS readme: sv-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: 24.4, chr-F: 0.502" ]
translation	transformers	### opus-mt-sv-rw * source languages: sv * target languages: rw * OPUS readme: [sv-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-rw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.rw \| 26.7 \| 0.514 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-rw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-rw * source languages: sv * target languages: rw * OPUS readme: sv-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: 26.7, chr-F: 0.514	[ "### opus-mt-sv-rw\n\n\n* source languages: sv\n* target languages: rw\n* OPUS readme: sv-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: 26.7, chr-F: 0.514" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-rw\n\n\n* source languages: sv\n* target languages: rw\n* OPUS readme: sv-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: 26.7, chr-F: 0.514" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-rw\n\n\n* source languages: sv\n* target languages: rw\n* OPUS readme: sv-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: 26.7, chr-F: 0.514" ]
translation	transformers	### opus-mt-sv-sg * source languages: sv * target languages: sg * OPUS readme: [sv-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sg/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sg/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sg/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.sg \| 30.0 \| 0.487 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sg * source languages: sv * target languages: sg * OPUS readme: sv-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: 30.0, chr-F: 0.487	[ "### opus-mt-sv-sg\n\n\n* source languages: sv\n* target languages: sg\n* OPUS readme: sv-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: 30.0, chr-F: 0.487" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sg\n\n\n* source languages: sv\n* target languages: sg\n* OPUS readme: sv-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: 30.0, chr-F: 0.487" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sg\n\n\n* source languages: sv\n* target languages: sg\n* OPUS readme: sv-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: 30.0, chr-F: 0.487" ]
translation	transformers	### opus-mt-sv-sk * source languages: sv * target languages: sk * OPUS readme: [sv-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sk/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.sk \| 30.7 \| 0.516 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sk * source languages: sv * target languages: sk * OPUS readme: sv-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: 30.7, chr-F: 0.516	[ "### opus-mt-sv-sk\n\n\n* source languages: sv\n* target languages: sk\n* OPUS readme: sv-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: 30.7, chr-F: 0.516" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sk\n\n\n* source languages: sv\n* target languages: sk\n* OPUS readme: sv-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: 30.7, chr-F: 0.516" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sk\n\n\n* source languages: sv\n* target languages: sk\n* OPUS readme: sv-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: 30.7, chr-F: 0.516" ]
translation	transformers	### opus-mt-sv-sl * source languages: sv * target languages: sl * OPUS readme: [sv-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.sl \| 25.1 \| 0.487 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sl * source languages: sv * target languages: sl * OPUS readme: sv-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: 25.1, chr-F: 0.487	[ "### opus-mt-sv-sl\n\n\n* source languages: sv\n* target languages: sl\n* OPUS readme: sv-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: 25.1, chr-F: 0.487" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sl\n\n\n* source languages: sv\n* target languages: sl\n* OPUS readme: sv-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: 25.1, chr-F: 0.487" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sl\n\n\n* source languages: sv\n* target languages: sl\n* OPUS readme: sv-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: 25.1, chr-F: 0.487" ]
translation	transformers	### opus-mt-sv-sm * source languages: sv * target languages: sm * OPUS readme: [sv-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sm/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sm/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sm/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sm/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.sm \| 30.1 \| 0.500 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sm	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sm * source languages: sv * target languages: sm * OPUS readme: sv-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: 30.1, chr-F: 0.500	[ "### opus-mt-sv-sm\n\n\n* source languages: sv\n* target languages: sm\n* OPUS readme: sv-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: 30.1, chr-F: 0.500" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sm\n\n\n* source languages: sv\n* target languages: sm\n* OPUS readme: sv-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: 30.1, chr-F: 0.500" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sm\n\n\n* source languages: sv\n* target languages: sm\n* OPUS readme: sv-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: 30.1, chr-F: 0.500" ]
translation	transformers	### opus-mt-sv-sn * source languages: sv * target languages: sn * OPUS readme: [sv-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.sn \| 27.4 \| 0.557 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sn * source languages: sv * target languages: sn * OPUS readme: sv-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: 27.4, chr-F: 0.557	[ "### opus-mt-sv-sn\n\n\n* source languages: sv\n* target languages: sn\n* OPUS readme: sv-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: 27.4, chr-F: 0.557" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sn\n\n\n* source languages: sv\n* target languages: sn\n* OPUS readme: sv-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: 27.4, chr-F: 0.557" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sn\n\n\n* source languages: sv\n* target languages: sn\n* OPUS readme: sv-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: 27.4, chr-F: 0.557" ]
translation	transformers	### opus-mt-sv-sq * source languages: sv * target languages: sq * OPUS readme: [sv-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sq/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.sq \| 34.4 \| 0.553 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sq	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #sq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sq * source languages: sv * target languages: sq * OPUS readme: sv-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: 34.4, chr-F: 0.553	[ "### opus-mt-sv-sq\n\n\n* source languages: sv\n* target languages: sq\n* OPUS readme: sv-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: 34.4, chr-F: 0.553" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sq\n\n\n* source languages: sv\n* target languages: sq\n* OPUS readme: sv-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: 34.4, chr-F: 0.553" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #sq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sq\n\n\n* source languages: sv\n* target languages: sq\n* OPUS readme: sv-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: 34.4, chr-F: 0.553" ]
translation	transformers	### opus-mt-sv-srn * source languages: sv * target languages: srn * OPUS readme: [sv-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-srn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-srn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-srn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-srn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.srn \| 31.3 \| 0.506 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-srn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-srn * source languages: sv * target languages: srn * OPUS readme: sv-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: 31.3, chr-F: 0.506	[ "### opus-mt-sv-srn\n\n\n* source languages: sv\n* target languages: srn\n* OPUS readme: sv-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: 31.3, chr-F: 0.506" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-srn\n\n\n* source languages: sv\n* target languages: srn\n* OPUS readme: sv-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: 31.3, chr-F: 0.506" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-srn\n\n\n* source languages: sv\n* target languages: srn\n* OPUS readme: sv-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: 31.3, chr-F: 0.506" ]
translation	transformers	### opus-mt-sv-st * source languages: sv * target languages: st * OPUS readme: [sv-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-st/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-st/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-st/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.st \| 38.8 \| 0.584 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-st	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-st * source languages: sv * target languages: st * OPUS readme: sv-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: 38.8, chr-F: 0.584	[ "### opus-mt-sv-st\n\n\n* source languages: sv\n* target languages: st\n* OPUS readme: sv-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: 38.8, chr-F: 0.584" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-st\n\n\n* source languages: sv\n* target languages: st\n* OPUS readme: sv-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: 38.8, chr-F: 0.584" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-st\n\n\n* source languages: sv\n* target languages: st\n* OPUS readme: sv-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: 38.8, chr-F: 0.584" ]
translation	transformers	### opus-mt-sv-sv * source languages: sv * target languages: sv * OPUS readme: [sv-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sv/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sv/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sv/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.sv.sv \| 49.2 \| 0.741 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "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 #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-sv * source languages: sv * target languages: sv * OPUS readme: sv-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 49.2, chr-F: 0.741	[ "### opus-mt-sv-sv\n\n\n* source languages: sv\n* target languages: sv\n* OPUS readme: sv-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.741" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-sv\n\n\n* source languages: sv\n* target languages: sv\n* OPUS readme: sv-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.741" ]	[ 49, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-sv\n\n\n* source languages: sv\n* target languages: sv\n* OPUS readme: sv-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.741" ]
translation	transformers	### opus-mt-sv-swc * source languages: sv * target languages: swc * OPUS readme: [sv-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-swc/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-swc/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-swc/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.swc \| 30.1 \| 0.536 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-swc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-swc * source languages: sv * target languages: swc * OPUS readme: sv-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: 30.1, chr-F: 0.536	[ "### opus-mt-sv-swc\n\n\n* source languages: sv\n* target languages: swc\n* OPUS readme: sv-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: 30.1, chr-F: 0.536" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-swc\n\n\n* source languages: sv\n* target languages: swc\n* OPUS readme: sv-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: 30.1, chr-F: 0.536" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-swc\n\n\n* source languages: sv\n* target languages: swc\n* OPUS readme: sv-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: 30.1, chr-F: 0.536" ]
translation	transformers	### opus-mt-sv-th * source languages: sv * target languages: th * OPUS readme: [sv-th](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-th/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-th/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-th/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-th/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.th \| 21.2 \| 0.373 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-th	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "th", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #th #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-th * source languages: sv * target languages: th * OPUS readme: sv-th * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.2, chr-F: 0.373	[ "### opus-mt-sv-th\n\n\n* source languages: sv\n* target languages: th\n* OPUS readme: sv-th\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.373" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #th #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-th\n\n\n* source languages: sv\n* target languages: th\n* OPUS readme: sv-th\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.373" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #th #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-th\n\n\n* source languages: sv\n* target languages: th\n* OPUS readme: sv-th\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.373" ]
translation	transformers	### opus-mt-sv-tiv * source languages: sv * target languages: tiv * OPUS readme: [sv-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tiv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tiv \| 25.2 \| 0.439 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tiv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tiv * source languages: sv * target languages: tiv * OPUS readme: sv-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: 25.2, chr-F: 0.439	[ "### opus-mt-sv-tiv\n\n\n* source languages: sv\n* target languages: tiv\n* OPUS readme: sv-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: 25.2, chr-F: 0.439" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tiv\n\n\n* source languages: sv\n* target languages: tiv\n* OPUS readme: sv-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: 25.2, chr-F: 0.439" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tiv\n\n\n* source languages: sv\n* target languages: tiv\n* OPUS readme: sv-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: 25.2, chr-F: 0.439" ]
translation	transformers	### opus-mt-sv-tll * source languages: sv * target languages: tll * OPUS readme: [sv-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tll/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tll/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tll/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tll \| 24.9 \| 0.484 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tll	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tll * source languages: sv * target languages: tll * OPUS readme: sv-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: 24.9, chr-F: 0.484	[ "### opus-mt-sv-tll\n\n\n* source languages: sv\n* target languages: tll\n* OPUS readme: sv-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: 24.9, chr-F: 0.484" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tll\n\n\n* source languages: sv\n* target languages: tll\n* OPUS readme: sv-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: 24.9, chr-F: 0.484" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tll\n\n\n* source languages: sv\n* target languages: tll\n* OPUS readme: sv-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: 24.9, chr-F: 0.484" ]
translation	transformers	### opus-mt-sv-tn * source languages: sv * target languages: tn * OPUS readme: [sv-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tn \| 36.3 \| 0.561 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tn * source languages: sv * target languages: tn * OPUS readme: sv-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: 36.3, chr-F: 0.561	[ "### opus-mt-sv-tn\n\n\n* source languages: sv\n* target languages: tn\n* OPUS readme: sv-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: 36.3, chr-F: 0.561" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tn\n\n\n* source languages: sv\n* target languages: tn\n* OPUS readme: sv-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: 36.3, chr-F: 0.561" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tn\n\n\n* source languages: sv\n* target languages: tn\n* OPUS readme: sv-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: 36.3, chr-F: 0.561" ]
translation	transformers	### opus-mt-sv-to * source languages: sv * target languages: to * OPUS readme: [sv-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.to \| 41.8 \| 0.564 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-to	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-to * source languages: sv * target languages: to * OPUS readme: sv-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: 41.8, chr-F: 0.564	[ "### opus-mt-sv-to\n\n\n* source languages: sv\n* target languages: to\n* OPUS readme: sv-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: 41.8, chr-F: 0.564" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-to\n\n\n* source languages: sv\n* target languages: to\n* OPUS readme: sv-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: 41.8, chr-F: 0.564" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-to\n\n\n* source languages: sv\n* target languages: to\n* OPUS readme: sv-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: 41.8, chr-F: 0.564" ]
translation	transformers	### opus-mt-sv-toi * source languages: sv * target languages: toi * OPUS readme: [sv-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-toi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-toi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-toi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-toi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.toi \| 23.2 \| 0.512 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-toi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #toi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-toi * source languages: sv * target languages: toi * OPUS readme: sv-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: 23.2, chr-F: 0.512	[ "### opus-mt-sv-toi\n\n\n* source languages: sv\n* target languages: toi\n* OPUS readme: sv-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: 23.2, chr-F: 0.512" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #toi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-toi\n\n\n* source languages: sv\n* target languages: toi\n* OPUS readme: sv-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: 23.2, chr-F: 0.512" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #toi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-toi\n\n\n* source languages: sv\n* target languages: toi\n* OPUS readme: sv-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: 23.2, chr-F: 0.512" ]
translation	transformers	### opus-mt-sv-tpi * source languages: sv * target languages: tpi * OPUS readme: [sv-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tpi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tpi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tpi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tpi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tpi \| 31.4 \| 0.513 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tpi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tpi * source languages: sv * target languages: tpi * OPUS readme: sv-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: 31.4, chr-F: 0.513	[ "### opus-mt-sv-tpi\n\n\n* source languages: sv\n* target languages: tpi\n* OPUS readme: sv-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: 31.4, chr-F: 0.513" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tpi\n\n\n* source languages: sv\n* target languages: tpi\n* OPUS readme: sv-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: 31.4, chr-F: 0.513" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tpi\n\n\n* source languages: sv\n* target languages: tpi\n* OPUS readme: sv-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: 31.4, chr-F: 0.513" ]
translation	transformers	### opus-mt-sv-ts * source languages: sv * target languages: ts * OPUS readme: [sv-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ts/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ts/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ts/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ts/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ts \| 34.4 \| 0.567 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ts	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ts * source languages: sv * target languages: ts * OPUS readme: sv-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: 34.4, chr-F: 0.567	[ "### opus-mt-sv-ts\n\n\n* source languages: sv\n* target languages: ts\n* OPUS readme: sv-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: 34.4, chr-F: 0.567" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ts\n\n\n* source languages: sv\n* target languages: ts\n* OPUS readme: sv-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: 34.4, chr-F: 0.567" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ts\n\n\n* source languages: sv\n* target languages: ts\n* OPUS readme: sv-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: 34.4, chr-F: 0.567" ]
translation	transformers	### opus-mt-sv-tum * source languages: sv * target languages: tum * OPUS readme: [sv-tum](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tum/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tum/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tum/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tum/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tum \| 22.0 \| 0.475 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tum	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tum", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tum * source languages: sv * target languages: tum * OPUS readme: sv-tum * 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: 0.475	[ "### opus-mt-sv-tum\n\n\n* source languages: sv\n* target languages: tum\n* OPUS readme: sv-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.475" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tum\n\n\n* source languages: sv\n* target languages: tum\n* OPUS readme: sv-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.475" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tum\n\n\n* source languages: sv\n* target languages: tum\n* OPUS readme: sv-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.475" ]
translation	transformers	### opus-mt-sv-tvl * source languages: sv * target languages: tvl * OPUS readme: [sv-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tvl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tvl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tvl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tvl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tvl \| 34.4 \| 0.521 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tvl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tvl * source languages: sv * target languages: tvl * OPUS readme: sv-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: 34.4, chr-F: 0.521	[ "### opus-mt-sv-tvl\n\n\n* source languages: sv\n* target languages: tvl\n* OPUS readme: sv-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: 34.4, chr-F: 0.521" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tvl\n\n\n* source languages: sv\n* target languages: tvl\n* OPUS readme: sv-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: 34.4, chr-F: 0.521" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tvl\n\n\n* source languages: sv\n* target languages: tvl\n* OPUS readme: sv-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: 34.4, chr-F: 0.521" ]
translation	transformers	### opus-mt-sv-tw * source languages: sv * target languages: tw * OPUS readme: [sv-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.tw \| 30.7 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-tw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-tw * source languages: sv * target languages: tw * OPUS readme: sv-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: 30.7, chr-F: 0.509	[ "### opus-mt-sv-tw\n\n\n* source languages: sv\n* target languages: tw\n* OPUS readme: sv-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: 30.7, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-tw\n\n\n* source languages: sv\n* target languages: tw\n* OPUS readme: sv-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: 30.7, chr-F: 0.509" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-tw\n\n\n* source languages: sv\n* target languages: tw\n* OPUS readme: sv-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: 30.7, chr-F: 0.509" ]
translation	transformers	### opus-mt-sv-ty * source languages: sv * target languages: ty * OPUS readme: [sv-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ty/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ty/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ty/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ty \| 40.5 \| 0.571 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ty	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ty * source languages: sv * target languages: ty * OPUS readme: sv-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: 40.5, chr-F: 0.571	[ "### opus-mt-sv-ty\n\n\n* source languages: sv\n* target languages: ty\n* OPUS readme: sv-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: 40.5, chr-F: 0.571" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ty\n\n\n* source languages: sv\n* target languages: ty\n* OPUS readme: sv-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: 40.5, chr-F: 0.571" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ty\n\n\n* source languages: sv\n* target languages: ty\n* OPUS readme: sv-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: 40.5, chr-F: 0.571" ]
translation	transformers	### opus-mt-sv-uk * source languages: sv * target languages: uk * OPUS readme: [sv-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-uk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-uk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-uk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-uk/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.uk \| 24.0 \| 0.447 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-uk * source languages: sv * target languages: uk * OPUS readme: sv-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: 24.0, chr-F: 0.447	[ "### opus-mt-sv-uk\n\n\n* source languages: sv\n* target languages: uk\n* OPUS readme: sv-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: 24.0, chr-F: 0.447" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-uk\n\n\n* source languages: sv\n* target languages: uk\n* OPUS readme: sv-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: 24.0, chr-F: 0.447" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-uk\n\n\n* source languages: sv\n* target languages: uk\n* OPUS readme: sv-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: 24.0, chr-F: 0.447" ]
translation	transformers	### opus-mt-sv-umb * source languages: sv * target languages: umb * OPUS readme: [sv-umb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-umb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-umb/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-umb/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-umb/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.umb \| 20.4 \| 0.431 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-umb	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "umb", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #umb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-umb * source languages: sv * target languages: umb * OPUS readme: sv-umb * 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: 20.4, chr-F: 0.431	[ "### opus-mt-sv-umb\n\n\n* source languages: sv\n* target languages: umb\n* OPUS readme: sv-umb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.431" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #umb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-umb\n\n\n* source languages: sv\n* target languages: umb\n* OPUS readme: sv-umb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.431" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #umb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-umb\n\n\n* source languages: sv\n* target languages: umb\n* OPUS readme: sv-umb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.431" ]
translation	transformers	### opus-mt-sv-ve * source languages: sv * target languages: ve * OPUS readme: [sv-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ve/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ve/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ve/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ve/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ve \| 26.4 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-ve	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ve * source languages: sv * target languages: ve * OPUS readme: sv-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: 26.4, chr-F: 0.496	[ "### opus-mt-sv-ve\n\n\n* source languages: sv\n* target languages: ve\n* OPUS readme: sv-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: 26.4, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ve\n\n\n* source languages: sv\n* target languages: ve\n* OPUS readme: sv-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: 26.4, chr-F: 0.496" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ve\n\n\n* source languages: sv\n* target languages: ve\n* OPUS readme: sv-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: 26.4, chr-F: 0.496" ]
translation	transformers	### opus-mt-sv-war * source languages: sv * target languages: war * OPUS readme: [sv-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-war/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-war/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-war/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-war/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.war \| 36.7 \| 0.576 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-war	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-war * source languages: sv * target languages: war * OPUS readme: sv-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: 36.7, chr-F: 0.576	[ "### opus-mt-sv-war\n\n\n* source languages: sv\n* target languages: war\n* OPUS readme: sv-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: 36.7, chr-F: 0.576" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-war\n\n\n* source languages: sv\n* target languages: war\n* OPUS readme: sv-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: 36.7, chr-F: 0.576" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-war\n\n\n* source languages: sv\n* target languages: war\n* OPUS readme: sv-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: 36.7, chr-F: 0.576" ]
translation	transformers	### opus-mt-sv-wls * source languages: sv * target languages: wls * OPUS readme: [sv-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-wls/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-wls/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-wls/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-wls/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.wls \| 29.0 \| 0.501 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-wls	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-wls * source languages: sv * target languages: wls * OPUS readme: sv-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: 29.0, chr-F: 0.501	[ "### opus-mt-sv-wls\n\n\n* source languages: sv\n* target languages: wls\n* OPUS readme: sv-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: 29.0, chr-F: 0.501" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-wls\n\n\n* source languages: sv\n* target languages: wls\n* OPUS readme: sv-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: 29.0, chr-F: 0.501" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-wls\n\n\n* source languages: sv\n* target languages: wls\n* OPUS readme: sv-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: 29.0, chr-F: 0.501" ]
translation	transformers	### opus-mt-sv-xh * source languages: sv * target languages: xh * OPUS readme: [sv-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-xh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-xh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-xh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-xh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.xh \| 26.7 \| 0.561 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-xh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-xh * source languages: sv * target languages: xh * OPUS readme: sv-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: 26.7, chr-F: 0.561	[ "### opus-mt-sv-xh\n\n\n* source languages: sv\n* target languages: xh\n* OPUS readme: sv-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: 26.7, chr-F: 0.561" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-xh\n\n\n* source languages: sv\n* target languages: xh\n* OPUS readme: sv-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: 26.7, chr-F: 0.561" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-xh\n\n\n* source languages: sv\n* target languages: xh\n* OPUS readme: sv-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: 26.7, chr-F: 0.561" ]
translation	transformers	### opus-mt-sv-yap * source languages: sv * target languages: yap * OPUS readme: [sv-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-yap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.yap \| 27.3 \| 0.461 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-yap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-yap * source languages: sv * target languages: yap * OPUS readme: sv-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: 27.3, chr-F: 0.461	[ "### opus-mt-sv-yap\n\n\n* source languages: sv\n* target languages: yap\n* OPUS readme: sv-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: 27.3, chr-F: 0.461" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-yap\n\n\n* source languages: sv\n* target languages: yap\n* OPUS readme: sv-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: 27.3, chr-F: 0.461" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-yap\n\n\n* source languages: sv\n* target languages: yap\n* OPUS readme: sv-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: 27.3, chr-F: 0.461" ]
translation	transformers	### opus-mt-sv-yo * source languages: sv * target languages: yo * OPUS readme: [sv-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-yo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-yo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.yo \| 26.4 \| 0.432 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-yo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-yo * source languages: sv * target languages: yo * OPUS readme: sv-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: 26.4, chr-F: 0.432	[ "### opus-mt-sv-yo\n\n\n* source languages: sv\n* target languages: yo\n* OPUS readme: sv-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: 26.4, chr-F: 0.432" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-yo\n\n\n* source languages: sv\n* target languages: yo\n* OPUS readme: sv-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: 26.4, chr-F: 0.432" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-yo\n\n\n* source languages: sv\n* target languages: yo\n* OPUS readme: sv-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: 26.4, chr-F: 0.432" ]
translation	transformers	### opus-mt-sv-zne * source languages: sv * target languages: zne * OPUS readme: [sv-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-zne/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.zne \| 23.8 \| 0.474 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-sv-zne	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "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 #sv #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-zne * source languages: sv * target languages: zne * OPUS readme: sv-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: 23.8, chr-F: 0.474	[ "### opus-mt-sv-zne\n\n\n* source languages: sv\n* target languages: zne\n* OPUS readme: sv-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: 23.8, chr-F: 0.474" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-zne\n\n\n* source languages: sv\n* target languages: zne\n* OPUS readme: sv-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: 23.8, chr-F: 0.474" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-zne\n\n\n* source languages: sv\n* target languages: zne\n* OPUS readme: sv-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: 23.8, chr-F: 0.474" ]
translation	transformers	### opus-mt-swc-en * source languages: swc * target languages: en * OPUS readme: [swc-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.swc.en \| 41.1 \| 0.569 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-swc-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "swc", "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 #swc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-swc-en * source languages: swc * target languages: en * OPUS readme: swc-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: 41.1, chr-F: 0.569	[ "### opus-mt-swc-en\n\n\n* source languages: swc\n* target languages: en\n* OPUS readme: swc-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: 41.1, chr-F: 0.569" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-swc-en\n\n\n* source languages: swc\n* target languages: en\n* OPUS readme: swc-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: 41.1, chr-F: 0.569" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-en\n\n\n* source languages: swc\n* target languages: en\n* OPUS readme: swc-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: 41.1, chr-F: 0.569" ]
translation	transformers	### opus-mt-swc-es * source languages: swc * target languages: es * OPUS readme: [swc-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.swc.es \| 27.4 \| 0.458 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-swc-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "swc", "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 #swc #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-swc-es * source languages: swc * target languages: es * OPUS readme: swc-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.4, chr-F: 0.458	[ "### opus-mt-swc-es\n\n\n* source languages: swc\n* target languages: es\n* OPUS readme: swc-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.458" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-swc-es\n\n\n* source languages: swc\n* target languages: es\n* OPUS readme: swc-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.458" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-es\n\n\n* source languages: swc\n* target languages: es\n* OPUS readme: swc-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.458" ]
translation	transformers	### opus-mt-swc-fi * source languages: swc * target languages: fi * OPUS readme: [swc-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.swc.fi \| 26.0 \| 0.489 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-swc-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "swc", "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 #swc #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-swc-fi * source languages: swc * target languages: fi * OPUS readme: swc-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.0, chr-F: 0.489	[ "### opus-mt-swc-fi\n\n\n* source languages: swc\n* target languages: fi\n* OPUS readme: swc-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.489" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-swc-fi\n\n\n* source languages: swc\n* target languages: fi\n* OPUS readme: swc-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.489" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-fi\n\n\n* source languages: swc\n* target languages: fi\n* OPUS readme: swc-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.489" ]
translation	transformers	### opus-mt-swc-fr * source languages: swc * target languages: fr * OPUS readme: [swc-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.swc.fr \| 28.6 \| 0.470 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-swc-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "swc", "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 #swc #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-swc-fr * source languages: swc * target languages: fr * OPUS readme: swc-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.6, chr-F: 0.470	[ "### opus-mt-swc-fr\n\n\n* source languages: swc\n* target languages: fr\n* OPUS readme: swc-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.470" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-swc-fr\n\n\n* source languages: swc\n* target languages: fr\n* OPUS readme: swc-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.470" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-fr\n\n\n* source languages: swc\n* target languages: fr\n* OPUS readme: swc-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.470" ]
translation	transformers	### opus-mt-swc-sv * source languages: swc * target languages: sv * OPUS readme: [swc-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.swc.sv \| 30.7 \| 0.495 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-swc-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "swc", "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 #swc #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-swc-sv * source languages: swc * target languages: sv * OPUS readme: swc-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.7, chr-F: 0.495	[ "### opus-mt-swc-sv\n\n\n* source languages: swc\n* target languages: sv\n* OPUS readme: swc-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.495" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-swc-sv\n\n\n* source languages: swc\n* target languages: sv\n* OPUS readme: swc-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.495" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-sv\n\n\n* source languages: swc\n* target languages: sv\n* OPUS readme: swc-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.495" ]
translation	transformers	### taw-eng * source group: Tai * target group: English * OPUS readme: [taw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md) * model: transformer * source language(s): lao tha * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-28.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.zip) * test set translations: [opus-2020-06-28.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.test.txt) * test set scores: [opus-2020-06-28.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lao-eng.lao.eng \| 1.1 \| 0.133 \| \| Tatoeba-test.multi.eng \| 38.9 \| 0.572 \| \| Tatoeba-test.tha-eng.tha.eng \| 40.6 \| 0.588 \| ### System Info: - hf_name: taw-eng - source_languages: taw - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lo', 'th', 'taw', 'en'] - src_constituents: {'lao', 'tha'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.test.txt - src_alpha3: taw - tgt_alpha3: eng - short_pair: taw-en - chrF2_score: 0.5720000000000001 - bleu: 38.9 - brevity_penalty: 1.0 - ref_len: 7630.0 - src_name: Tai - tgt_name: English - train_date: 2020-06-28 - src_alpha2: taw - tgt_alpha2: en - prefer_old: False - long_pair: taw-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lo", "th", "taw", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-taw-en	null	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "lo", "th", "taw", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "lo", "th", "taw", "en" ]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #lo #th #taw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### taw-eng * source group: Tai * target group: English * OPUS readme: taw-eng * model: transformer * source language(s): lao tha * 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: 1.1, chr-F: 0.133 testset: URL, BLEU: 38.9, chr-F: 0.572 testset: URL, BLEU: 40.6, chr-F: 0.588 ### System Info: * hf\_name: taw-eng * source\_languages: taw * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lo', 'th', 'taw', 'en'] * src\_constituents: {'lao', 'tha'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: taw * tgt\_alpha3: eng * short\_pair: taw-en * chrF2\_score: 0.5720000000000001 * bleu: 38.9 * brevity\_penalty: 1.0 * ref\_len: 7630.0 * src\_name: Tai * tgt\_name: English * train\_date: 2020-06-28 * src\_alpha2: taw * tgt\_alpha2: en * prefer\_old: False * long\_pair: taw-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### taw-eng\n\n\n* source group: Tai\n* target group: English\n* OPUS readme: taw-eng\n* model: transformer\n* source language(s): lao tha\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: 1.1, chr-F: 0.133\ntestset: URL, BLEU: 38.9, chr-F: 0.572\ntestset: URL, BLEU: 40.6, chr-F: 0.588", "### System Info:\n\n\n* hf\\_name: taw-eng\n* source\\_languages: taw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lo', 'th', 'taw', 'en']\n* src\\_constituents: {'lao', 'tha'}\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: taw\n* tgt\\_alpha3: eng\n* short\\_pair: taw-en\n* chrF2\\_score: 0.5720000000000001\n* bleu: 38.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 7630.0\n* src\\_name: Tai\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: taw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: taw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #lo #th #taw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### taw-eng\n\n\n* source group: Tai\n* target group: English\n* OPUS readme: taw-eng\n* model: transformer\n* source language(s): lao tha\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: 1.1, chr-F: 0.133\ntestset: URL, BLEU: 38.9, chr-F: 0.572\ntestset: URL, BLEU: 40.6, chr-F: 0.588", "### System Info:\n\n\n* hf\\_name: taw-eng\n* source\\_languages: taw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lo', 'th', 'taw', 'en']\n* src\\_constituents: {'lao', 'tha'}\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: taw\n* tgt\\_alpha3: eng\n* short\\_pair: taw-en\n* chrF2\\_score: 0.5720000000000001\n* bleu: 38.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 7630.0\n* src\\_name: Tai\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: taw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: taw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 60, 175, 415 ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #lo #th #taw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### taw-eng\n\n\n* source group: Tai\n* target group: English\n* OPUS readme: taw-eng\n* model: transformer\n* source language(s): lao tha\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: 1.1, chr-F: 0.133\ntestset: URL, BLEU: 38.9, chr-F: 0.572\ntestset: URL, BLEU: 40.6, chr-F: 0.588### System Info:\n\n\n* hf\\_name: taw-eng\n* source\\_languages: taw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lo', 'th', 'taw', 'en']\n* src\\_constituents: {'lao', 'tha'}\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: taw\n* tgt\\_alpha3: eng\n* short\\_pair: taw-en\n* chrF2\\_score: 0.5720000000000001\n* bleu: 38.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 7630.0\n* src\\_name: Tai\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: taw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: taw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	# opus-mt-tc-base-gmw-gmw Neural machine translation model for translating from West Germanic languages (gmw) to West Germanic languages (gmw). This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train). * Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) ``` @inproceedings{tiedemann-thottingal-2020-opus, title = "{OPUS}-{MT} {--} Building open translation services for the World", author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh}, booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation", month = nov, year = "2020", address = "Lisboa, Portugal", publisher = "European Association for Machine Translation", url = "https://aclanthology.org/2020.eamt-1.61", pages = "479--480", } @inproceedings{tiedemann-2020-tatoeba, title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}", author = {Tiedemann, J{\"o}rg}, booktitle = "Proceedings of the Fifth Conference on Machine Translation", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2020.wmt-1.139", pages = "1174--1182", } ``` ## Model info * Release: 2021-02-23 * source language(s): afr deu eng fry gos hrx ltz nds nld pdc yid * target language(s): afr deu eng fry nds nld * valid target language labels: >>afr<< >>ang_Latn<< >>deu<< >>eng<< >>fry<< >>ltz<< >>nds<< >>nld<< >>sco<< >>yid<< * model: transformer (base) * data: opus ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge)) * tokenization: SentencePiece (spm32k,spm32k) * original model: [opus-2021-02-23.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.zip) * more information released models: [OPUS-MT gmw-gmw README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md) * more information about the model: [MarianMT](https://huggingface.co/docs/transformers/model_doc/marian) This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>afr<<` ## Usage A short example code: ```python from transformers import MarianMTModel, MarianTokenizer src_text = [ ">>nld<< You need help.", ">>afr<< I love your son." ] model_name = "pytorch-models/opus-mt-tc-base-gmw-gmw" tokenizer = MarianTokenizer.from_pretrained(model_name) model = MarianMTModel.from_pretrained(model_name) translated = model.generate(*tokenizer(src_text, return_tensors="pt", padding=True)) for t in translated: print( tokenizer.decode(t, skip_special_tokens=True) ) # expected output: # Je hebt hulp nodig. # Ek is lief vir jou seun. ``` You can also use OPUS-MT models with the transformers pipelines, for example: ```python from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-gmw-gmw") print(pipe(>>nld<< You need help.)) # expected output: Je hebt hulp nodig. ``` ## Benchmarks test set translations: [opus-2021-02-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.test.txt) * test set scores: [opus-2021-02-23.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.eval.txt) * benchmark results: [benchmark_results.txt](benchmark_results.txt) * benchmark output: [benchmark_translations.zip](benchmark_translations.zip) \| langpair \| testset \| chr-F \| BLEU \| #sent \| #words \| \|----------\|---------\|-------\|-------\|-------\|--------\| \| afr-deu \| tatoeba-test-v2021-08-07 \| 0.674 \| 48.1 \| 1583 \| 9105 \| \| afr-eng \| tatoeba-test-v2021-08-07 \| 0.728 \| 58.8 \| 1374 \| 9622 \| \| afr-nld \| tatoeba-test-v2021-08-07 \| 0.711 \| 54.5 \| 1056 \| 6710 \| \| deu-afr \| tatoeba-test-v2021-08-07 \| 0.696 \| 52.4 \| 1583 \| 9507 \| \| deu-eng \| tatoeba-test-v2021-08-07 \| 0.609 \| 42.1 \| 17565 \| 149462 \| \| deu-nds \| tatoeba-test-v2021-08-07 \| 0.442 \| 18.6 \| 9999 \| 76137 \| \| deu-nld \| tatoeba-test-v2021-08-07 \| 0.672 \| 48.7 \| 10218 \| 75235 \| \| eng-afr \| tatoeba-test-v2021-08-07 \| 0.735 \| 56.5 \| 1374 \| 10317 \| \| eng-deu \| tatoeba-test-v2021-08-07 \| 0.580 \| 35.9 \| 17565 \| 151568 \| \| eng-nds \| tatoeba-test-v2021-08-07 \| 0.412 \| 16.6 \| 2500 \| 18264 \| \| eng-nld \| tatoeba-test-v2021-08-07 \| 0.663 \| 48.3 \| 12696 \| 91796 \| \| fry-eng \| tatoeba-test-v2021-08-07 \| 0.500 \| 32.5 \| 220 \| 1573 \| \| fry-nld \| tatoeba-test-v2021-08-07 \| 0.633 \| 43.1 \| 260 \| 1854 \| \| gos-nld \| tatoeba-test-v2021-08-07 \| 0.405 \| 15.6 \| 1852 \| 9903 \| \| hrx-deu \| tatoeba-test-v2021-08-07 \| 0.484 \| 24.7 \| 471 \| 2805 \| \| hrx-eng \| tatoeba-test-v2021-08-07 \| 0.362 \| 20.4 \| 221 \| 1235 \| \| ltz-deu \| tatoeba-test-v2021-08-07 \| 0.556 \| 37.2 \| 347 \| 2208 \| \| ltz-eng \| tatoeba-test-v2021-08-07 \| 0.485 \| 32.4 \| 293 \| 1840 \| \| ltz-nld \| tatoeba-test-v2021-08-07 \| 0.534 \| 39.3 \| 292 \| 1685 \| \| nds-deu \| tatoeba-test-v2021-08-07 \| 0.572 \| 34.5 \| 9999 \| 74564 \| \| nds-eng \| tatoeba-test-v2021-08-07 \| 0.493 \| 29.9 \| 2500 \| 17589 \| \| nds-nld \| tatoeba-test-v2021-08-07 \| 0.621 \| 42.3 \| 1657 \| 11490 \| \| nld-afr \| tatoeba-test-v2021-08-07 \| 0.755 \| 58.8 \| 1056 \| 6823 \| \| nld-deu \| tatoeba-test-v2021-08-07 \| 0.686 \| 50.4 \| 10218 \| 74131 \| \| nld-eng \| tatoeba-test-v2021-08-07 \| 0.690 \| 53.1 \| 12696 \| 89978 \| \| nld-fry \| tatoeba-test-v2021-08-07 \| 0.478 \| 25.1 \| 260 \| 1857 \| \| nld-nds \| tatoeba-test-v2021-08-07 \| 0.462 \| 21.4 \| 1657 \| 11711 \| \| afr-deu \| flores101-devtest \| 0.524 \| 21.6 \| 1012 \| 25094 \| \| afr-eng \| flores101-devtest \| 0.693 \| 46.8 \| 1012 \| 24721 \| \| afr-nld \| flores101-devtest \| 0.509 \| 18.4 \| 1012 \| 25467 \| \| deu-afr \| flores101-devtest \| 0.534 \| 21.4 \| 1012 \| 25740 \| \| deu-eng \| flores101-devtest \| 0.616 \| 33.8 \| 1012 \| 24721 \| \| deu-nld \| flores101-devtest \| 0.516 \| 19.2 \| 1012 \| 25467 \| \| eng-afr \| flores101-devtest \| 0.628 \| 33.8 \| 1012 \| 25740 \| \| eng-deu \| flores101-devtest \| 0.581 \| 29.1 \| 1012 \| 25094 \| \| eng-nld \| flores101-devtest \| 0.533 \| 21.0 \| 1012 \| 25467 \| \| ltz-afr \| flores101-devtest \| 0.430 \| 12.9 \| 1012 \| 25740 \| \| ltz-deu \| flores101-devtest \| 0.482 \| 17.1 \| 1012 \| 25094 \| \| ltz-eng \| flores101-devtest \| 0.468 \| 18.8 \| 1012 \| 24721 \| \| ltz-nld \| flores101-devtest \| 0.409 \| 10.7 \| 1012 \| 25467 \| \| nld-afr \| flores101-devtest \| 0.494 \| 16.8 \| 1012 \| 25740 \| \| nld-deu \| flores101-devtest \| 0.501 \| 17.9 \| 1012 \| 25094 \| \| nld-eng \| flores101-devtest \| 0.551 \| 25.6 \| 1012 \| 24721 \| \| deu-eng \| multi30k_test_2016_flickr \| 0.546 \| 32.2 \| 1000 \| 12955 \| \| eng-deu \| multi30k_test_2016_flickr \| 0.582 \| 28.8 \| 1000 \| 12106 \| \| deu-eng \| multi30k_test_2017_flickr \| 0.561 \| 32.7 \| 1000 \| 11374 \| \| eng-deu \| multi30k_test_2017_flickr \| 0.573 \| 27.6 \| 1000 \| 10755 \| \| deu-eng \| multi30k_test_2017_mscoco \| 0.499 \| 25.5 \| 461 \| 5231 \| \| eng-deu \| multi30k_test_2017_mscoco \| 0.514 \| 22.0 \| 461 \| 5158 \| \| deu-eng \| multi30k_test_2018_flickr \| 0.535 \| 30.0 \| 1071 \| 14689 \| \| eng-deu \| multi30k_test_2018_flickr \| 0.547 \| 25.3 \| 1071 \| 13703 \| \| deu-eng \| newssyscomb2009 \| 0.527 \| 25.4 \| 502 \| 11818 \| \| eng-deu \| newssyscomb2009 \| 0.504 \| 19.3 \| 502 \| 11271 \| \| deu-eng \| news-test2008 \| 0.518 \| 23.8 \| 2051 \| 49380 \| \| eng-deu \| news-test2008 \| 0.492 \| 19.3 \| 2051 \| 47447 \| \| deu-eng \| newstest2009 \| 0.516 \| 23.4 \| 2525 \| 65399 \| \| eng-deu \| newstest2009 \| 0.498 \| 18.8 \| 2525 \| 62816 \| \| deu-eng \| newstest2010 \| 0.546 \| 25.8 \| 2489 \| 61711 \| \| eng-deu \| newstest2010 \| 0.508 \| 20.7 \| 2489 \| 61503 \| \| deu-eng \| newstest2011 \| 0.524 \| 23.7 \| 3003 \| 74681 \| \| eng-deu \| newstest2011 \| 0.493 \| 19.2 \| 3003 \| 72981 \| \| deu-eng \| newstest2012 \| 0.532 \| 24.8 \| 3003 \| 72812 \| \| eng-deu \| newstest2012 \| 0.493 \| 19.5 \| 3003 \| 72886 \| \| deu-eng \| newstest2013 \| 0.548 \| 27.7 \| 3000 \| 64505 \| \| eng-deu \| newstest2013 \| 0.517 \| 22.5 \| 3000 \| 63737 \| \| deu-eng \| newstest2014-deen \| 0.548 \| 27.3 \| 3003 \| 67337 \| \| eng-deu \| newstest2014-deen \| 0.532 \| 22.0 \| 3003 \| 62688 \| \| deu-eng \| newstest2015-deen \| 0.553 \| 28.6 \| 2169 \| 46443 \| \| eng-deu \| newstest2015-ende \| 0.544 \| 25.7 \| 2169 \| 44260 \| \| deu-eng \| newstest2016-deen \| 0.596 \| 33.3 \| 2999 \| 64119 \| \| eng-deu \| newstest2016-ende \| 0.580 \| 30.0 \| 2999 \| 62669 \| \| deu-eng \| newstest2017-deen \| 0.561 \| 29.5 \| 3004 \| 64399 \| \| eng-deu \| newstest2017-ende \| 0.535 \| 24.1 \| 3004 \| 61287 \| \| deu-eng \| newstest2018-deen \| 0.610 \| 36.1 \| 2998 \| 67012 \| \| eng-deu \| newstest2018-ende \| 0.613 \| 35.4 \| 2998 \| 64276 \| \| deu-eng \| newstest2019-deen \| 0.582 \| 32.3 \| 2000 \| 39227 \| \| eng-deu \| newstest2019-ende \| 0.583 \| 31.2 \| 1997 \| 48746 \| \| deu-eng \| newstest2020-deen \| 0.604 \| 32.0 \| 785 \| 38220 \| \| eng-deu \| newstest2020-ende \| 0.542 \| 23.9 \| 1418 \| 52383 \| \| deu-eng \| newstestB2020-deen \| 0.598 \| 31.2 \| 785 \| 37696 \| \| eng-deu \| newstestB2020-ende \| 0.532 \| 23.3 \| 1418 \| 53092 \| ## Acknowledgements The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland. ## Model conversion info * transformers version: 4.12.3 * OPUS-MT git hash: e56a06b * port time: Sun Feb 13 14:42:10 EET 2022 * port machine: LM0-400-22516.local	{"language": ["af", "de", "en", "fy", "gmw", "gos", "hrx", "lb", "nds", "nl", "pdc", "yi"], "license": "cc-by-4.0", "tags": ["translation", "opus-mt-tc"], "model-index": [{"name": "opus-mt-tc-base-gmw-gmw", "results": [{"task": {"type": "translation", "name": "Translation afr-deu"}, "dataset": {"name": "flores101-devtest", "type": "flores_101", "args": "afr deu devtest"}, "metrics": [{"type": "bleu", "value": 21.6, "name": "BLEU"}, {"type": "bleu", "value": 46.8, "name": "BLEU"}, {"type": "bleu", "value": 21.4, "name": "BLEU"}, {"type": "bleu", "value": 33.8, "name": "BLEU"}, {"type": "bleu", "value": 33.8, "name": "BLEU"}, {"type": "bleu", "value": 29.1, "name": "BLEU"}, {"type": "bleu", "value": 21.0, "name": "BLEU"}, {"type": "bleu", "value": 25.6, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2016_flickr", "type": "multi30k-2016_flickr", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.2, "name": "BLEU"}, {"type": "bleu", "value": 28.8, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2017_flickr", "type": "multi30k-2017_flickr", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.7, "name": "BLEU"}, {"type": "bleu", "value": 27.6, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2017_mscoco", "type": "multi30k-2017_mscoco", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 25.5, "name": "BLEU"}, {"type": "bleu", "value": 22.0, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2018_flickr", "type": "multi30k-2018_flickr", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 30.0, "name": "BLEU"}, {"type": "bleu", "value": 25.3, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "news-test2008", "type": "news-test2008", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 23.8, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation afr-deu"}, "dataset": {"name": "tatoeba-test-v2021-08-07", "type": "tatoeba_mt", "args": "afr-deu"}, "metrics": [{"type": "bleu", "value": 48.1, "name": "BLEU"}, {"type": "bleu", "value": 58.8, "name": "BLEU"}, {"type": "bleu", "value": 54.5, "name": "BLEU"}, {"type": "bleu", "value": 52.4, "name": "BLEU"}, {"type": "bleu", "value": 42.1, "name": "BLEU"}, {"type": "bleu", "value": 48.7, "name": "BLEU"}, {"type": "bleu", "value": 56.5, "name": "BLEU"}, {"type": "bleu", "value": 35.9, "name": "BLEU"}, {"type": "bleu", "value": 48.3, "name": "BLEU"}, {"type": "bleu", "value": 32.5, "name": "BLEU"}, {"type": "bleu", "value": 43.1, "name": "BLEU"}, {"type": "bleu", "value": 24.7, "name": "BLEU"}, {"type": "bleu", "value": 20.4, "name": "BLEU"}, {"type": "bleu", "value": 37.2, "name": "BLEU"}, {"type": "bleu", "value": 32.4, "name": "BLEU"}, {"type": "bleu", "value": 39.3, "name": "BLEU"}, {"type": "bleu", "value": 34.5, "name": "BLEU"}, {"type": "bleu", "value": 29.9, "name": "BLEU"}, {"type": "bleu", "value": 42.3, "name": "BLEU"}, {"type": "bleu", "value": 58.8, "name": "BLEU"}, {"type": "bleu", "value": 50.4, "name": "BLEU"}, {"type": "bleu", "value": 53.1, "name": "BLEU"}, {"type": "bleu", "value": 25.1, "name": "BLEU"}, {"type": "bleu", "value": 21.4, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2009", "type": "wmt-2009-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 23.4, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2010", "type": "wmt-2010-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 25.8, "name": "BLEU"}, {"type": "bleu", "value": 20.7, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2011", "type": "wmt-2011-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 23.7, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2012", "type": "wmt-2012-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 24.8, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2013", "type": "wmt-2013-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 27.7, "name": "BLEU"}, {"type": "bleu", "value": 22.5, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2014-deen", "type": "wmt-2014-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 27.3, "name": "BLEU"}, {"type": "bleu", "value": 22.0, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2015-deen", "type": "wmt-2015-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 28.6, "name": "BLEU"}, {"type": "bleu", "value": 25.7, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2016-deen", "type": "wmt-2016-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 33.3, "name": "BLEU"}, {"type": "bleu", "value": 30.0, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2017-deen", "type": "wmt-2017-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 29.5, "name": "BLEU"}, {"type": "bleu", "value": 24.1, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2018-deen", "type": "wmt-2018-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 36.1, "name": "BLEU"}, {"type": "bleu", "value": 35.4, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2019-deen", "type": "wmt-2019-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.3, "name": "BLEU"}, {"type": "bleu", "value": 31.2, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2020-deen", "type": "wmt-2020-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.0, "name": "BLEU"}, {"type": "bleu", "value": 23.9, "name": "BLEU"}]}]}]}	Helsinki-NLP/opus-mt-tc-base-gmw-gmw	null	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "opus-mt-tc", "af", "de", "en", "fy", "gmw", "gos", "hrx", "lb", "nds", "nl", "pdc", "yi", "license:cc-by-4.0", "model-index", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "af", "de", "en", "fy", "gmw", "gos", "hrx", "lb", "nds", "nl", "pdc", "yi" ]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #opus-mt-tc #af #de #en #fy #gmw #gos #hrx #lb #nds #nl #pdc #yi #license-cc-by-4.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us	opus-mt-tc-base-gmw-gmw ======================= Neural machine translation model for translating from West Germanic languages (gmw) to West Germanic languages (gmw). This model is part of the OPUS-MT project, an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of Marian NMT, an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from OPUS and training pipelines use the procedures of OPUS-MT-train. * Publications: OPUS-MT – Building open translation services for the World and The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT (Please, cite if you use this model.) Model info ---------- * Release: 2021-02-23 * source language(s): afr deu eng fry gos hrx ltz nds nld pdc yid * target language(s): afr deu eng fry nds nld * valid target language labels: >>afr<< >>ang\_Latn<< >>deu<< >>eng<< >>fry<< >>ltz<< >>nds<< >>nld<< >>sco<< >>yid<< * model: transformer (base) * data: opus (source) * tokenization: SentencePiece (spm32k,spm32k) * original model: URL * more information released models: OPUS-MT gmw-gmw README * more information about the model: MarianMT This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of '>>id<<' (id = valid target language ID), e.g. '>>afr<<' Usage ----- A short example code: You can also use OPUS-MT models with the transformers pipelines, for example: Benchmarks ---------- * test set translations: URL * test set scores: URL * benchmark results: benchmark\_results.txt * benchmark output: benchmark\_translations.zip Acknowledgements ---------------- The work is supported by the European Language Grid as pilot project 2866, by the FoTran project, funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the MeMAD project, funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by CSC -- IT Center for Science, Finland. Model conversion info --------------------- * transformers version: 4.12.3 * OPUS-MT git hash: e56a06b * port time: Sun Feb 13 14:42:10 EET 2022 * port machine: URL	[]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #opus-mt-tc #af #de #en #fy #gmw #gos #hrx #lb #nds #nl #pdc #yi #license-cc-by-4.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n" ]	[ 93 ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #opus-mt-tc #af #de #en #fy #gmw #gos #hrx #lb #nds #nl #pdc #yi #license-cc-by-4.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n" ]

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