Datasets:

ftopal
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huggingface-models-embeddings

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train · 241k rows

sha null	last_modified null	library_name stringclasses 154 values	text stringlengths 1 900k	metadata stringlengths 2 348k	pipeline_tag stringclasses 45 values	id stringlengths 5 122	tags sequencelengths 1 1.84k	created_at stringlengths 25 25	arxiv sequencelengths 0 201	languages sequencelengths 0 1.83k	tags_str stringlengths 17 9.34k	text_str stringlengths 0 389k	text_lists sequencelengths 0 722	processed_texts sequencelengths 1 723	tokens_length sequencelengths 1 723	input_texts sequencelengths 1 61	embeddings sequencelengths 768 768
null	null	transformers	### opus-mt-st-es * source languages: st * target languages: es * OPUS readme: [st-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.es \| 31.3 \| 0.499 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-st-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-es * source languages: st * target languages: es * OPUS readme: st-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.3, chr-F: 0.499	[ "### opus-mt-st-es\n\n\n* source languages: st\n* target languages: es\n* OPUS readme: st-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.499" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-es\n\n\n* source languages: st\n* target languages: es\n* OPUS readme: st-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.499" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-es\n\n\n* source languages: st\n* target languages: es\n* OPUS readme: st-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-st-fi * source languages: st * target languages: fi * OPUS readme: [st-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.fi \| 28.8 \| 0.520 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-st-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-fi * source languages: st * target languages: fi * OPUS readme: st-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.8, chr-F: 0.520	[ "### opus-mt-st-fi\n\n\n* source languages: st\n* target languages: fi\n* OPUS readme: st-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.520" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-fi\n\n\n* source languages: st\n* target languages: fi\n* OPUS readme: st-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.520" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-fi\n\n\n* source languages: st\n* target languages: fi\n* OPUS readme: st-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-st-fr * source languages: st * target languages: fr * OPUS readme: [st-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.fr \| 30.7 \| 0.490 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-st-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-fr * source languages: st * target languages: fr * OPUS readme: st-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.7, chr-F: 0.490	[ "### opus-mt-st-fr\n\n\n* source languages: st\n* target languages: fr\n* OPUS readme: st-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.490" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-fr\n\n\n* source languages: st\n* target languages: fr\n* OPUS readme: st-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.490" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-fr\n\n\n* source languages: st\n* target languages: fr\n* OPUS readme: st-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-st-sv * source languages: st * target languages: sv * OPUS readme: [st-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.st.sv \| 33.5 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-st-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "st", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #st #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-st-sv * source languages: st * target languages: sv * OPUS readme: st-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 33.5, chr-F: 0.523	[ "### opus-mt-st-sv\n\n\n* source languages: st\n* target languages: sv\n* OPUS readme: st-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.5, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-st-sv\n\n\n* source languages: st\n* target languages: sv\n* OPUS readme: st-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.5, chr-F: 0.523" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #st #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-st-sv\n\n\n* source languages: st\n* target languages: sv\n* OPUS readme: st-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-sv-NORWAY * source languages: sv * target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no * OPUS readme: [sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.no \| 39.3 \| 0.590 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-sv-NORWAY	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-NORWAY * source languages: sv * target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no * OPUS readme: sv-nb\_NO+nb+nn\_NO+nn+nog+no\_nb+no * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 39.3, chr-F: 0.590	[ "### opus-mt-sv-NORWAY\n\n\n* source languages: sv\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: sv-nb\\_NO+nb+nn\\_NO+nn+nog+no\\_nb+no\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.3, chr-F: 0.590" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-NORWAY\n\n\n* source languages: sv\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: sv-nb\\_NO+nb+nn\\_NO+nn+nog+no\\_nb+no\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.3, chr-F: 0.590" ]	[ 61, 176 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-NORWAY\n\n\n* source languages: sv\n* target languages: nb\\_NO,nb,nn\\_NO,nn,nog,no\\_nb,no\n* OPUS readme: sv-nb\\_NO+nb+nn\\_NO+nn+nog+no\\_nb+no\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.3, chr-F: 0.590" ]	[ -0.1074955090880394, 0.18300695717334747, -0.005234386771917343, 0.060085479170084, 0.031017741188406944, -0.0018564453348517418, 0.07319231331348419, 0.15375731885433197, -0.013925060629844666, 0.07031791657209396, 0.13315539062023163, 0.06953007727861404, 0.02888122759759426, 0.11738720536231995, -0.04961179941892624, -0.0838993489742279, 0.021701673045754433, 0.039472632110118866, -0.0022033359855413437, 0.13197791576385498, 0.05707820504903793, -0.011526699177920818, 0.048942361027002335, -0.05912868678569794, -0.033721309155225754, 0.05433110147714615, 0.004437608644366264, -0.01890588365495205, 0.019837742671370506, 0.037697430700063705, -0.001775620155967772, 0.09547042101621628, -0.022047903388738632, -0.21769201755523682, 0.0007299567805603147, 0.007303845137357712, -0.041216570883989334, 0.01144373882561922, 0.05654281750321388, -0.07676026225090027, 0.08004648238420486, -0.10696732252836227, -0.046657003462314606, 0.038923006504774094, 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null	null	transformers	### opus-mt-sv-ZH * source languages: sv * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.sv.zh \| 24.2 \| 0.342 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-sv-ZH	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "zh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ZH * source languages: sv * target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh * OPUS readme: sv-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.2, chr-F: 0.342	[ "### opus-mt-sv-ZH\n\n\n* source languages: sv\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: sv-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.342" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ZH\n\n\n* source languages: sv\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: sv-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.342" ]	[ 61, 226 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ZH\n\n\n* source languages: sv\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: sv-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.342" ]	[ -0.1169455349445343, 0.003642520634457469, -0.0044578188098967075, -0.006147230044007301, 0.021680733188986778, 0.01512779202312231, 0.062257517129182816, 0.19091704487800598, 0.05105968564748764, 0.05914231762290001, 0.12676307559013367, 0.06563081592321396, 0.06413495540618896, 0.07568390667438507, -0.030224744230508804, -0.130096897482872, 0.026184767484664917, 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null	null	transformers	### opus-mt-sv-af * source languages: sv * target languages: af * OPUS readme: [sv-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-af/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.af \| 44.4 \| 0.623 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-sv-af	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sv #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-af * source languages: sv * target languages: af * OPUS readme: sv-af * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 44.4, chr-F: 0.623	[ "### opus-mt-sv-af\n\n\n* source languages: sv\n* target languages: af\n* OPUS readme: sv-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.623" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-af\n\n\n* source languages: sv\n* target languages: af\n* OPUS readme: sv-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.623" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-af\n\n\n* source languages: sv\n* target languages: af\n* OPUS readme: sv-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-sv-ase * source languages: sv * target languages: ase * OPUS readme: [sv-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ase/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ase/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.sv.ase \| 40.5 \| 0.572 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-sv-ase	[ "transformers", "pytorch", "marian", "text2text-generation", "translation", "sv", "ase", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #marian #text2text-generation #translation #sv #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-sv-ase * source languages: sv * target languages: ase * OPUS readme: sv-ase * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.5, chr-F: 0.572	[ "### opus-mt-sv-ase\n\n\n* source languages: sv\n* target languages: ase\n* OPUS readme: sv-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.572" ]	[ "TAGS\n#transformers #pytorch #marian #text2text-generation #translation #sv #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-sv-ase\n\n\n* source languages: sv\n* target languages: ase\n* OPUS readme: sv-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.572" ]	[ 58, 100 ]	[ "passage: TAGS\n#transformers #pytorch #marian #text2text-generation #translation #sv #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-ase\n\n\n* source languages: sv\n* target languages: ase\n* OPUS readme: sv-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-bcl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "bcl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-bem	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "bem", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-bg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-bi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "bi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-bzs	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "bzs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 63, 106 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ceb	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ceb", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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" ]	[ -0.13596966862678528, 0.12614072859287262, -0.0033333252649754286, 0.03479903191328049, 0.07035229355096817, 0.0024806151632219553, 0.0512024350464344, 0.13283073902130127, -0.016094114631414413, 0.03751736879348755, 0.15164825320243835, 0.12870506942272186, 0.03135114908218384, 0.13503572344779968, -0.08493709564208984, -0.10970389097929001, 0.07068192213773727, 0.050941478461027145, -0.010866768658161163, 0.14414915442466736, 0.10186853259801865, -0.04468637332320213, 0.09898336976766586, -0.03047393448650837, -0.05855059251189232, 0.05201311409473419, 0.027076145634055138, -0.06362726539373398, 0.05672343075275421, 0.044480014592409134, 0.038563165813684464, 0.07766152918338776, -0.00027640233747661114, -0.19363819062709808, 0.011000046506524086, -0.016931956633925438, -0.04253675043582916, 0.028104381635785103, 0.01955326832830906, -0.08159053325653076, 0.14772166311740875, -0.040200263261795044, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-chk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "chk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-crs	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "crs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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" ]	[ -0.1320294588804245, 0.11454042047262192, -0.003076910972595215, 0.05984048172831535, 0.07090767472982407, 0.004132332745939493, 0.02362934686243534, 0.13125523924827576, 0.02260569855570793, 0.03442184254527092, 0.16398970782756805, 0.11732421815395355, 0.020615825429558754, 0.0903453379869461, -0.09296048432588577, -0.14860256016254425, 0.06511814147233963, 0.025378361344337463, -0.023176606744527817, 0.14518393576145172, 0.10079873353242874, -0.03581128641963005, 0.10922908782958984, -0.03653832525014877, -0.02958599664270878, 0.03619452938437462, 0.018107734620571136, -0.05632109194993973, 0.047224003821611404, 0.057188816368579865, 0.05046235769987106, 0.1094081774353981, 0.031039532274007797, -0.18419820070266724, 0.01857944391667843, -0.0047340989112854, -0.04411115124821663, 0.03507990017533302, 0.020799150690436363, -0.06562264263629913, 0.1053893119096756, -0.06834518164396286, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-cs	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "cs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ee	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ee", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-efi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "efi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-el	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "el", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"}	translation	Helsinki-NLP/opus-mt-sv-en	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "sv", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 63, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 123, 394 ]	[ "passage: 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" ]	[ -0.09598086774349213, 0.0957389622926712, -0.0036236161831766367, 0.04182589054107666, 0.10268214344978333, 0.0008136130636557937, 0.061228103935718536, 0.10423341393470764, 0.023019975051283836, 0.020166629925370216, 0.1202421709895134, 0.1204293966293335, 0.05316649004817009, 0.16496193408966064, -0.05336375907063484, -0.22602979838848114, 0.07583983242511749, 0.055389560759067535, -0.07738406956195831, 0.09747075289487839, 0.10254430770874023, -0.04457065835595131, 0.10038969665765762, 0.012647301889955997, 0.006527293007820845, 0.10152623802423477, -0.040757954120635986, -0.10106418281793594, 0.031154857948422432, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-et	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "et", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 133 ]	[ "passage: 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" ]	[ -0.15879403054714203, 0.1341688632965088, -0.0042441957630217075, 0.06773315370082855, 0.05323012173175812, 0.006371233146637678, 0.04637647047638893, 0.14187538623809814, 0.0246647410094738, 0.03500940278172493, 0.1284465193748474, 0.06891970336437225, 0.034889981150627136, 0.17102709412574768, -0.09738550335168839, -0.0951019898056984, 0.044468726962804794, 0.04675588756799698, -0.12426716089248657, 0.13229411840438843, 0.10396405309438705, -0.028700055554509163, 0.100447878241539, -0.03884148225188255, -0.034968551248311996, 0.06687352061271667, 0.026267068460583687, -0.056245241314172745, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-fj	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "fj", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-gaa	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "gaa", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-gil	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "gil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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" ]	[ -0.15281760692596436, 0.10371371358633041, -0.0037464986089617014, 0.05519876629114151, 0.08815476298332214, 0.007395137567073107, 0.07657338678836823, 0.15351496636867523, 0.043103933334350586, 0.03607526794075966, 0.14473022520542145, 0.12262041866779327, 0.0392872616648674, 0.1292823702096939, -0.08082723617553711, -0.131940558552742, 0.04828650876879692, 0.046621955931186676, -0.0865931287407875, 0.1398315131664276, 0.09896083921194077, -0.009397247806191444, 0.10209003835916519, -0.01572900265455246, -0.030675124377012253, 0.06411460787057877, 0.04672745615243912, -0.05427063629031181, 0.07565665990114212, 0.06870914995670319, -0.0069390153512358665, 0.07480914890766144, -0.006627210881561041, -0.18374162912368774, 0.01405302993953228, 0.0007868694374337792, -0.040171824395656586, 0.031131256371736526, 0.047486186027526855, -0.04321514815092087, 0.10671386867761612, -0.10992597043514252, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-guw	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "guw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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" ]	[ -0.12374134361743927, 0.16090404987335205, -0.0034037684090435505, 0.044237684458494186, 0.08698097616434097, 0.013174436055123806, 0.07396584749221802, 0.13597193360328674, 0.017498422414064407, 0.024083180353045464, 0.1490858942270279, 0.08932405710220337, 0.047749098390340805, 0.1056491956114769, -0.04630567505955696, -0.14266842603683472, 0.051767412573099136, 0.020325472578406334, -0.044480256736278534, 0.13200628757476807, 0.0873522236943245, -0.02673744596540928, 0.08674048632383347, -0.011743331328034401, -0.039279527962207794, 0.05517325922846794, 0.02049214579164982, -0.0607820525765419, 0.04748137667775154, 0.06738469749689102, -0.013937361538410187, 0.054533425718545914, -0.020101962611079216, -0.23234887421131134, 0.010031153447926044, -0.0022115656174719334, -0.038332946598529816, 0.010291279293596745, 0.02914201095700264, -0.07342628389596939, 0.09140926599502563, -0.022926658391952515, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ha	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ha", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-he	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-hil	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "hil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ho	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ho", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-hr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "hr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ht	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ht", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 101 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-hu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "hu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-id	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "id", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ig	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ig", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 101 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ilo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ilo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-is	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "is", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-iso	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "iso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-kg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "kg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-kqn	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "kqn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 63, 106 ]	[ "passage: 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" ]	[ -0.12217025458812714, 0.14700724184513092, -0.00293744751252234, 0.04613426700234413, 0.07699860632419586, 0.004478447139263153, 0.04187317565083504, 0.15345849096775055, 0.014968550764024258, -0.005799216218292713, 0.1313779652118683, 0.11207042634487152, 0.03847147151827812, 0.12507623434066772, -0.07118622213602066, -0.14589986205101013, 0.0484497956931591, 0.031563639640808105, -0.09853719919919968, 0.12505045533180237, 0.08641360700130463, -0.03671833127737045, 0.0923570916056633, -0.021512283012270927, -0.011418798938393593, 0.04912939667701721, 0.011256706900894642, -0.08152517676353455, 0.03976595401763916, 0.06681767851114273, 0.006685524247586727, 0.08721756935119629, -0.010468424297869205, -0.21242132782936096, 0.01422222051769495, -0.005715230945497751, -0.022709250450134277, 0.002404781524091959, 0.03324132040143013, -0.04211467131972313, 0.07965420186519623, -0.10773729532957077, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-kwy	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "kwy", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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" ]	[ -0.10943706333637238, 0.12039690464735031, -0.0030596524011343718, 0.035381436347961426, 0.06767437607049942, -0.00195759697817266, 0.05020187795162201, 0.16226604580879211, 0.013794740661978722, 0.004435553215444088, 0.15370413661003113, 0.124031201004982, 0.030064713209867477, 0.12598948180675507, -0.06581723690032959, -0.14525270462036133, 0.05461381375789642, 0.04021981731057167, -0.050094638019800186, 0.1337583363056183, 0.07967960089445114, -0.04837914928793907, 0.08903533965349197, -0.006528710946440697, -0.051706042140722275, 0.04682717099785805, 0.0036884339060634375, -0.08154858648777008, 0.03673217073082924, 0.04813301935791969, 0.025746235623955727, 0.08253547549247742, -0.019929079338908195, -0.19588680565357208, 0.013265754096210003, -0.0037838665302842855, -0.013485562987625599, 0.010523411445319653, 0.03509867563843727, -0.05371716246008873, 0.11602795869112015, -0.11653877794742584, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-lg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "lg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 101 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ln	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ln", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-lu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "lu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-lua	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "lua", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 101 ]	[ "passage: 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" ]	[ -0.11320969462394714, 0.11281656473875046, -0.004219153430312872, 0.09247485548257828, 0.09351149946451187, 0.00023118098033592105, 0.05222821235656738, 0.12939710915088654, -0.02943022921681404, 0.003424534108489752, 0.11710173636674881, 0.12980616092681885, 0.021998679265379906, 0.10803940147161484, -0.07188327610492706, -0.1510918140411377, 0.04315154254436493, 0.01467578299343586, -0.0606168769299984, 0.11207462847232819, 0.0900808796286583, -0.007622464094310999, 0.11170277744531631, -0.03439199551939964, 0.014268789440393448, 0.0711664929986, 0.011728686280548573, -0.05090034008026123, 0.04346252605319023, 0.0753486230969429, 0.02488904632627964, 0.06313144415616989, 0.01437064167112112, -0.20700691640377045, 0.008809772320091724, -0.0231347493827343, -0.02924366295337677, -0.0014155323151499033, 0.044603023678064346, -0.09085740149021149, 0.12349843978881836, -0.06786710023880005, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-lue	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "lue", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 101 ]	[ "passage: 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" ]	[ -0.11162387579679489, 0.12709403038024902, -0.004277138505131006, 0.09557081758975983, 0.07967820763587952, -0.004059200640767813, 0.056443195790052414, 0.13535483181476593, -0.025450680404901505, 0.0011470537865534425, 0.12529051303863525, 0.13155919313430786, 0.014958386309444904, 0.109885074198246, -0.07117761671543121, -0.14890208840370178, 0.050685252994298935, 0.0265806932002306, -0.06862606108188629, 0.11474351584911346, 0.09678579121828079, -0.01592109352350235, 0.11098400503396988, -0.02703191339969635, -0.005067707505077124, 0.07481590658426285, 0.00968248676508665, -0.041589487344026566, 0.04956454038619995, 0.06607092916965485, 0.01584806852042675, 0.06875833868980408, 0.012574771419167519, -0.20528706908226013, 0.009119760245084763, -0.018141847103834152, -0.03537860885262489, 0.0018156307050958276, 0.04357744753360748, -0.09723703563213348, 0.11331097036600113, -0.07298967987298965, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-lus	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "lus", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 101 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-lv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "lv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 101 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-mfe	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "mfe", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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" ]	[ -0.1389419436454773, 0.1160779669880867, -0.0038001707289367914, 0.0493224672973156, 0.09064662456512451, -0.006437030155211687, 0.044571127742528915, 0.13197146356105804, -0.0034706126898527145, 0.010123565793037415, 0.13799923658370972, 0.11907520890235901, 0.018085582181811333, 0.15205073356628418, -0.07578383386135101, -0.11353665590286255, 0.05613915994763374, 0.023937199264764786, -0.06888537108898163, 0.127311572432518, 0.10664302110671997, -0.03147221356630325, 0.10813099890947342, -0.025408459827303886, -0.042740315198898315, 0.07946786284446716, 0.02050689235329628, -0.0626596063375473, 0.041230544447898865, 0.06257465481758118, -0.002439029747620225, 0.06692136079072952, -0.014683062210679054, -0.18325072526931763, 0.011667096056044102, -0.007051440421491861, -0.03677291423082352, 0.006910170428454876, 0.06319580972194672, -0.0675535500049591, 0.10698408633470535, -0.04447935149073601, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-mh	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "mh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-mos	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "mos", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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" ]	[ -0.11135203391313553, 0.0782625675201416, -0.0047332062385976315, 0.01970861479640007, 0.11009345203638077, -0.010086706839501858, 0.07540568709373474, 0.1339467316865921, -0.056998711079359055, -0.004577250685542822, 0.14217603206634521, 0.1442844718694687, 0.039296261966228485, 0.10755108296871185, -0.07603064179420471, -0.13081978261470795, 0.055485207587480545, 0.014529678970575333, -0.07825679332017899, 0.1221926137804985, 0.11237937957048416, -0.03200758993625641, 0.11300872266292572, -0.024353619664907455, -0.02812378853559494, 0.06700225919485092, 0.02327946200966835, -0.06268114596605301, 0.04102712497115135, 0.08454378694295883, -0.012009665369987488, 0.08143794536590576, 0.007089555263519287, -0.1838541477918625, 0.014144827611744404, 0.003090797457844019, -0.037401191890239716, 0.015611321665346622, 0.060186367481946945, -0.07675903290510178, 0.07957305759191513, -0.08639633655548096, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-mt	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "mt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-niu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "niu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-nl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-no	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 150, 400 ]	[ "passage: 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" ]	[ 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-nso	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "nso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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" ]	[ -0.11972542852163315, 0.14925646781921387, -0.0035124223213642836, 0.059024833142757416, 0.07741744816303253, -0.009477579966187477, 0.05541383475065231, 0.13611282408237457, 0.012044611386954784, 0.023177113384008408, 0.11054787039756775, 0.10751128196716309, 0.039639413356781006, 0.1422354280948639, -0.07802699506282806, -0.13484610617160797, 0.06651735305786133, 0.036466553807258606, -0.06879665702581406, 0.1282275915145874, 0.0821618065237999, -0.015639832243323326, 0.0970243513584137, -0.023712042719125748, -0.002644202671945095, 0.06484492868185043, 0.024108540266752243, -0.07239711284637451, 0.035570282489061356, 0.043157901614904404, 0.013521818444132805, 0.08094464242458344, 0.007772945798933506, -0.19534526765346527, 0.0067956773564219475, 0.007627985905855894, -0.02837558276951313, 0.011374914087355137, 0.05597880855202675, -0.03440910950303078, 0.13418185710906982, -0.0498802550137043, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ny	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ny", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-pag	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "pag", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-pap	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "pap", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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" ]	[ -0.11763180792331696, 0.12108568847179413, -0.005250208079814911, 0.04303783178329468, 0.08681351691484451, -0.0021981000900268555, 0.046268679201602936, 0.1428883969783783, -0.06883379817008972, 0.016594914719462395, 0.1623440831899643, 0.10482297092676163, 0.053645599633455276, 0.12318206578493118, -0.04631606489419937, -0.17233127355575562, 0.05819648504257202, 0.05436617508530617, -0.05623077228665352, 0.15814460813999176, 0.0940680131316185, -0.029221223667263985, 0.09499955177307129, 0.008391674607992172, 0.016685744747519493, 0.06404706090688705, 0.01688466966152191, -0.07725884765386581, 0.05483265593647957, 0.02767905406653881, 0.03967137634754181, 0.061998263001441956, -0.01745455339550972, -0.19924217462539673, 0.014215007424354553, 0.019036918878555298, -0.022675931453704834, 0.031185844913125038, 0.08215568959712982, -0.06729339063167572, 0.07716766744852066, -0.07730277627706528, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-pis	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "pis", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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" ]	[ -0.1200004518032074, 0.1146480143070221, -0.004709933884441853, 0.06146229803562164, 0.09035588800907135, -0.0031202384270727634, 0.07577041536569595, 0.1357707679271698, -0.032836612313985825, 0.01850920170545578, 0.15275293588638306, 0.12465117871761322, 0.04859544336795807, 0.1543588787317276, -0.07796429842710495, -0.1697884351015091, 0.06505464762449265, 0.03645903989672661, -0.05010557174682617, 0.14696279168128967, 0.09523184597492218, -0.02312455326318741, 0.09654945880174637, -0.01906287483870983, -0.016589466482400894, 0.05464303120970726, 0.01797226443886757, -0.07454405725002289, 0.05939203500747681, 0.05484747886657715, 0.04420066997408867, 0.08708038926124573, 0.012220042757689953, -0.18862511217594147, 0.011231369338929653, -0.0005836946656927466, -0.025489170104265213, 0.033405110239982605, 0.053362324833869934, -0.0551653616130352, 0.06642364710569382, -0.0731809064745903, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-pon	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "pon", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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" ]	[ -0.11532969772815704, 0.13109463453292847, -0.004156674258410931, 0.05436552315950394, 0.08493592590093613, -0.0076736947521567345, 0.07443740963935852, 0.14047862589359283, -0.03712626174092293, 0.0038500481750816107, 0.15108761191368103, 0.1189563199877739, 0.029849948361516, 0.14640285074710846, -0.07636809349060059, -0.14776258170604706, 0.06488185375928879, 0.03758106380701065, -0.08412905782461166, 0.13621214032173157, 0.10367485135793686, -0.01602781191468239, 0.09270289540290833, -0.017366204410791397, -0.020789405331015587, 0.06371486932039261, 0.03098466247320175, -0.07351770997047424, 0.05134068801999092, 0.06425122916698456, 0.014678153209388256, 0.0770350992679596, 0.00310100638307631, -0.1976204216480255, 0.011212082579731941, -0.002853360027074814, -0.04645895957946777, 0.025580203160643578, 0.044240809977054596, -0.05992378294467926, 0.07918307185173035, -0.07895997911691666, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-rnd	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "rnd", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ro	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ro", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-run	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "run", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-rw	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "rw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "sg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "sk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "sl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sm	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "sm", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sn	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "sn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sq	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "sq", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-srn	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "srn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 63, 104 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-st	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "st", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 59, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-swc	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "swc", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 63, 106 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-th	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "th", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tiv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tiv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 101 ]	[ "passage: 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" ]	[ -0.10974784940481186, 0.09061071276664734, -0.0038360741455107927, 0.06264743208885193, 0.09963489323854446, 0.006128120236098766, 0.05504824221134186, 0.1410371959209442, -0.025160321965813637, 0.0019962883088737726, 0.13421329855918884, 0.12061214447021484, 0.02693968266248703, 0.1514507383108139, -0.09049921482801437, -0.15190424025058746, 0.0511835552752018, 0.03932100161910057, -0.06569399684667587, 0.1456437110900879, 0.10411961376667023, -0.021908286958932877, 0.10472958534955978, -0.019398970529437065, -0.03521336242556572, 0.06468915194272995, 0.041766177862882614, -0.06610662490129471, 0.06984425336122513, 0.0472288504242897, 0.021532660350203514, 0.0743030235171318, 0.003648740705102682, -0.15534621477127075, 0.013158618472516537, 0.009070017375051975, -0.04007957503199577, 0.019319042563438416, 0.04528632014989853, -0.06960999220609665, 0.14398589730262756, -0.0659816786646843, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tll	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tll", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tn	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-to	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "to", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-toi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "toi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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" ]	[ -0.11182567477226257, 0.1199847087264061, -0.0037129318807274103, 0.06748072803020477, 0.09518812596797943, 0.016436856240034103, 0.08921220153570175, 0.17897051572799683, -0.01887406036257744, 0.01432188879698515, 0.1293693333864212, 0.10047789663076401, 0.036875978112220764, 0.14045707881450653, -0.07860404998064041, -0.18571209907531738, 0.07237192243337631, 0.02245882898569107, -0.09013056010007858, 0.13317298889160156, 0.0908367857336998, -0.00883147306740284, 0.1183561384677887, -0.033485498279333115, -0.013769300654530525, 0.06730418652296066, 0.033720146864652634, -0.07734520733356476, 0.049363262951374054, 0.044471271336078644, 0.0021060043945908546, 0.06472671031951904, 0.009831327013671398, -0.1793314814567566, 0.012364448979496956, -0.0027524640318006277, -0.052856795489788055, 0.03161152824759483, 0.05053102225065231, -0.07448116689920425, 0.10808814316987991, -0.09718441218137741, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tpi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tpi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ts	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ts", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tum	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tum", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tvl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tvl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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" ]	[ -0.12030558288097382, 0.09299597889184952, -0.003290222492069006, 0.06007840484380722, 0.07838523387908936, 0.012833822518587112, 0.04417168349027634, 0.1522282510995865, -0.029928525909781456, -0.011515169404447079, 0.12977235019207, 0.10695292055606842, 0.014410053379833698, 0.14974462985992432, -0.0702255368232727, -0.13059748709201813, 0.04096974804997444, 0.0448029600083828, -0.05167997628450394, 0.13831399381160736, 0.10012553632259369, -0.030207106843590736, 0.11255717277526855, -0.03334427997469902, -0.027401825413107872, 0.06909774243831635, 0.039804328233003616, -0.07496411353349686, 0.06118197739124298, 0.06555069237947464, -0.00040988775435835123, 0.06762740015983582, 0.013262526132166386, -0.18229134380817413, 0.011515878140926361, 0.01921961084008217, -0.04068681597709656, 0.015879815444350243, 0.05431969463825226, -0.053030483424663544, 0.12938502430915833, -0.08347374200820923, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-tw	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "tw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ty	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ty", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-uk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-umb	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "umb", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 103 ]	[ "passage: 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" ]	[ -0.1279480755329132, 0.11870364844799042, -0.0036263391375541687, 0.05844547972083092, 0.09468727558851242, 0.006386267952620983, 0.044146422296762466, 0.1328442096710205, -0.012934237718582153, 0.011361563578248024, 0.1384357213973999, 0.1065870076417923, 0.022545894607901573, 0.11892950534820557, -0.08116787672042847, -0.13082857429981232, 0.056407630443573, 0.029540041461586952, -0.06581480801105499, 0.13696050643920898, 0.08787590265274048, -0.03379837051033974, 0.1042775809764862, -0.016903767362236977, -0.04084781929850578, 0.06585769355297089, 0.021287936717271805, -0.0503271147608757, 0.040814947336912155, 0.06598536670207977, 0.0186760276556015, 0.07068466395139694, 0.006503009237349033, -0.1956912875175476, 0.011921734549105167, -0.006786529906094074, -0.04250187799334526, 0.014176473021507263, 0.05057408660650253, -0.06872852891683578, 0.10874629765748978, -0.04930397495627403, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-ve	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "ve", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-war	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "war", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 99 ]	[ "passage: 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: 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-wls	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "wls", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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" ]	[ -0.14323575794696808, 0.1344677060842514, -0.0035318960435688496, 0.056847017258405685, 0.06755331158638, -0.0009794015204533935, 0.04138542339205742, 0.14570428431034088, 0.02432970702648163, -0.00037185740075074136, 0.14066003262996674, 0.10032408684492111, 0.020708072930574417, 0.10729841142892838, -0.08086787164211273, -0.10184095799922943, 0.057666659355163574, 0.034069132059812546, -0.09986214339733124, 0.13613960146903992, 0.0732797235250473, -0.04252305626869202, 0.09602271020412445, -0.020192589610815048, -0.032630741596221924, 0.06394775211811066, 0.01466782484203577, -0.059487733989953995, 0.03558337315917015, 0.06147832050919533, 0.01970798149704933, 0.07829008251428604, 0.019787898287177086, -0.20441868901252747, 0.009547663852572441, -0.008211338892579079, -0.029262803494930267, 0.011359117925167084, 0.053312595933675766, -0.0804290771484375, 0.07066015154123306, -0.08433917164802551, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-xh	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "xh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 62, 102 ]	[ "passage: 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, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-yap	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "yap", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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" ]	[ -0.10524410754442215, 0.12499350309371948, -0.004738057963550091, 0.033668797463178635, 0.0942334234714508, 0.004110174253582954, 0.0693756490945816, 0.150091290473938, -0.03282357379794121, 0.010097632184624672, 0.14517684280872345, 0.1110643818974495, 0.04333115741610527, 0.10802023112773895, -0.05638711526989937, -0.14782842993736267, 0.06033245846629143, 0.03628296032547951, -0.07730715721845627, 0.1393710821866989, 0.08438333123922348, -0.030862106010317802, 0.09419630467891693, 0.005818620789796114, -0.05435589700937271, 0.06317324191331863, 0.010406287387013435, -0.07639186084270477, 0.0648297443985939, 0.05745165795087814, 0.02723524160683155, 0.07125022262334824, -0.017226582393050194, -0.19155339896678925, 0.0158869419246912, -0.0013611784670501947, -0.03981844708323479, 0.024392127990722656, 0.04684969410300255, -0.055932022631168365, 0.11871074140071869, -0.07980106770992279, 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null	null	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"]}	translation	Helsinki-NLP/opus-mt-sv-yo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sv", "yo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	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" ]	[ 61, 100 ]	[ "passage: 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, 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