Datasets:

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ftopal

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huggingface-models

like 0

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-ceb-es\n\n\n* source languages: ceb\n* target languages: es\n* OPUS readme: ceb-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: 31.6, chr-F: 0.508" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-es\n\n\n* source languages: ceb\n* target languages: es\n* OPUS readme: ceb-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: 31.6, chr-F: 0.508" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-ceb-fi\n\n\n* source languages: ceb\n* target languages: fi\n* OPUS readme: ceb-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.525" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-fi\n\n\n* source languages: ceb\n* target languages: fi\n* OPUS readme: ceb-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.525" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-ceb-fr\n\n\n* source languages: ceb\n* target languages: fr\n* OPUS readme: ceb-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: 30.0, chr-F: 0.491" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-fr\n\n\n* source languages: ceb\n* target languages: fr\n* OPUS readme: ceb-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: 30.0, chr-F: 0.491" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-ceb-sv\n\n\n* source languages: ceb\n* target languages: sv\n* OPUS readme: ceb-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.5, chr-F: 0.552" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-sv\n\n\n* source languages: ceb\n* target languages: sv\n* OPUS readme: ceb-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.5, chr-F: 0.552" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gd", "ga", "br", "kw", "gv", "cy", "cel", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "gd", "ga", "br", "kw", "gv", "cy", "cel", "en" ]

[ "### cel-eng\n\n\n* source group: Celtic languages\n* target group: English\n* OPUS readme: cel-eng\n* model: transformer\n* source language(s): bre cor cym gla gle glv\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.2, chr-F: 0.385\ntestset: URL, BLEU: 3.0, chr-F: 0.172\ntestset: URL, BLEU: 41.5, chr-F: 0.582\ntestset: URL, BLEU: 15.4, chr-F: 0.330\ntestset: URL, BLEU: 50.8, chr-F: 0.668\ntestset: URL, BLEU: 11.0, chr-F: 0.297\ntestset: URL, BLEU: 22.8, chr-F: 0.398", "### System Info:\n\n\n* hf\\_name: cel-eng\n* source\\_languages: cel\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']\n* src\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cel\n* tgt\\_alpha3: eng\n* short\\_pair: cel-en\n* chrF2\\_score: 0.39799999999999996\n* bleu: 22.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 42097.0\n* src\\_name: Celtic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cel\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cel-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gd #ga #br #kw #gv #cy #cel #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cel-eng\n\n\n* source group: Celtic languages\n* target group: English\n* OPUS readme: cel-eng\n* model: transformer\n* source language(s): bre cor cym gla gle glv\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.2, chr-F: 0.385\ntestset: URL, BLEU: 3.0, chr-F: 0.172\ntestset: URL, BLEU: 41.5, chr-F: 0.582\ntestset: URL, BLEU: 15.4, chr-F: 0.330\ntestset: URL, BLEU: 50.8, chr-F: 0.668\ntestset: URL, BLEU: 11.0, chr-F: 0.297\ntestset: URL, BLEU: 22.8, chr-F: 0.398", "### System Info:\n\n\n* hf\\_name: cel-eng\n* source\\_languages: cel\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']\n* src\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cel\n* tgt\\_alpha3: eng\n* short\\_pair: cel-en\n* chrF2\\_score: 0.39799999999999996\n* bleu: 22.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 42097.0\n* src\\_name: Celtic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cel\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cel-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-chk-en\n\n\n* source languages: chk\n* target languages: en\n* OPUS readme: chk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.465" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-en\n\n\n* source languages: chk\n* target languages: en\n* OPUS readme: chk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.465" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-chk-es\n\n\n* source languages: chk\n* target languages: es\n* OPUS readme: chk-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: 20.8, chr-F: 0.374" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-es\n\n\n* source languages: chk\n* target languages: es\n* OPUS readme: chk-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: 20.8, chr-F: 0.374" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-chk-fr\n\n\n* source languages: chk\n* target languages: fr\n* OPUS readme: chk-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.387" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-fr\n\n\n* source languages: chk\n* target languages: fr\n* OPUS readme: chk-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.387" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

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[ "### opus-mt-chk-sv\n\n\n* source languages: chk\n* target languages: sv\n* OPUS readme: chk-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: 23.6, chr-F: 0.406" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-sv\n\n\n* source languages: chk\n* target languages: sv\n* OPUS readme: chk-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: 23.6, chr-F: 0.406" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "cpf", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "ht", "cpf", "en" ]

[ "### cpf-eng\n\n\n* source group: Creoles and pidgins, French‑based\n* target group: English\n* OPUS readme: cpf-eng\n* model: transformer\n* source language(s): gcf\\_Latn hat mfe\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.4, chr-F: 0.229\ntestset: URL, BLEU: 28.0, chr-F: 0.421\ntestset: URL, BLEU: 66.0, chr-F: 0.808\ntestset: URL, BLEU: 16.3, chr-F: 0.323", "### System Info:\n\n\n* hf\\_name: cpf-eng\n* source\\_languages: cpf\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ht', 'cpf', 'en']\n* src\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpf\n* tgt\\_alpha3: eng\n* short\\_pair: cpf-en\n* chrF2\\_score: 0.32299999999999995\n* bleu: 16.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 990.0\n* src\\_name: Creoles and pidgins, French‑based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpf\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpf-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #cpf #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cpf-eng\n\n\n* source group: Creoles and pidgins, French‑based\n* target group: English\n* OPUS readme: cpf-eng\n* model: transformer\n* source language(s): gcf\\_Latn hat mfe\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.4, chr-F: 0.229\ntestset: URL, BLEU: 28.0, chr-F: 0.421\ntestset: URL, BLEU: 66.0, chr-F: 0.808\ntestset: URL, BLEU: 16.3, chr-F: 0.323", "### System Info:\n\n\n* hf\\_name: cpf-eng\n* source\\_languages: cpf\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ht', 'cpf', 'en']\n* src\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpf\n* tgt\\_alpha3: eng\n* short\\_pair: cpf-en\n* chrF2\\_score: 0.32299999999999995\n* bleu: 16.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 990.0\n* src\\_name: Creoles and pidgins, French‑based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpf\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpf-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "cpp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "id", "cpp" ]

[ "### cpp-cpp\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: cpp-cpp\n* model: transformer\n* source language(s): ind pap\n* target language(s): ind pap\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 0.7, chr-F: 0.149\ntestset: URL, BLEU: 31.7, chr-F: 0.577\ntestset: URL, BLEU: 21.1, chr-F: 0.369\ntestset: URL, BLEU: 17.7, chr-F: 0.197", "### System Info:\n\n\n* hf\\_name: cpp-cpp\n* source\\_languages: cpp\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpp\n* tgt\\_alpha3: cpp\n* short\\_pair: cpp-cpp\n* chrF2\\_score: 0.369\n* bleu: 21.1\n* brevity\\_penalty: 0.882\n* ref\\_len: 18.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-07-26\n* src\\_alpha2: cpp\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: cpp-cpp\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 #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cpp-cpp\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: cpp-cpp\n* model: transformer\n* source language(s): ind pap\n* target language(s): ind pap\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 0.7, chr-F: 0.149\ntestset: URL, BLEU: 31.7, chr-F: 0.577\ntestset: URL, BLEU: 21.1, chr-F: 0.369\ntestset: URL, BLEU: 17.7, chr-F: 0.197", "### System Info:\n\n\n* hf\\_name: cpp-cpp\n* source\\_languages: cpp\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpp\n* tgt\\_alpha3: cpp\n* short\\_pair: cpp-cpp\n* chrF2\\_score: 0.369\n* bleu: 21.1\n* brevity\\_penalty: 0.882\n* ref\\_len: 18.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-07-26\n* src\\_alpha2: cpp\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: cpp-cpp\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "cpp", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "id", "cpp", "en" ]

[ "### cpp-eng\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: English\n* OPUS readme: cpp-eng\n* model: transformer\n* source language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.580\ntestset: URL, BLEU: 39.7, chr-F: 0.580\ntestset: URL, BLEU: 49.1, chr-F: 0.579", "### System Info:\n\n\n* hf\\_name: cpp-eng\n* source\\_languages: cpp\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp', 'en']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpp\n* tgt\\_alpha3: eng\n* short\\_pair: cpp-en\n* chrF2\\_score: 0.58\n* bleu: 39.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 37399.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpp\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpp-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #cpp #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cpp-eng\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: English\n* OPUS readme: cpp-eng\n* model: transformer\n* source language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.580\ntestset: URL, BLEU: 39.7, chr-F: 0.580\ntestset: URL, BLEU: 49.1, chr-F: 0.579", "### System Info:\n\n\n* hf\\_name: cpp-eng\n* source\\_languages: cpp\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp', 'en']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpp\n* tgt\\_alpha3: eng\n* short\\_pair: cpp-en\n* chrF2\\_score: 0.58\n* bleu: 39.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 37399.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpp\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpp-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-crs-de\n\n\n* source languages: crs\n* target languages: de\n* OPUS readme: crs-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.397" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-de\n\n\n* source languages: crs\n* target languages: de\n* OPUS readme: crs-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.397" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-crs-en\n\n\n* source languages: crs\n* target languages: en\n* OPUS readme: crs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.9, chr-F: 0.589" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-en\n\n\n* source languages: crs\n* target languages: en\n* OPUS readme: crs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.9, chr-F: 0.589" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-crs-es\n\n\n* source languages: crs\n* target languages: es\n* OPUS readme: crs-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.445" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-es\n\n\n* source languages: crs\n* target languages: es\n* OPUS readme: crs-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.445" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-crs-fi\n\n\n* source languages: crs\n* target languages: fi\n* OPUS readme: crs-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.479" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-fi\n\n\n* source languages: crs\n* target languages: fi\n* OPUS readme: crs-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.479" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-crs-fr\n\n\n* source languages: crs\n* target languages: fr\n* OPUS readme: crs-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.4, chr-F: 0.475" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-fr\n\n\n* source languages: crs\n* target languages: fr\n* OPUS readme: crs-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.4, chr-F: 0.475" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-crs-sv\n\n\n* source languages: crs\n* target languages: sv\n* OPUS readme: crs-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.3, chr-F: 0.480" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-sv\n\n\n* source languages: crs\n* target languages: sv\n* OPUS readme: crs-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.3, chr-F: 0.480" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-cs-de\n\n\n* source languages: cs\n* target languages: de\n* OPUS readme: cs-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.525\ntestset: URL, BLEU: 21.1, chr-F: 0.520\ntestset: URL, BLEU: 22.2, chr-F: 0.525\ntestset: URL, BLEU: 22.1, chr-F: 0.527\ntestset: URL, BLEU: 21.6, chr-F: 0.515\ntestset: URL, BLEU: 22.2, chr-F: 0.516\ntestset: URL, BLEU: 24.8, chr-F: 0.538\ntestset: URL, BLEU: 23.6, chr-F: 0.530\ntestset: URL, BLEU: 51.6, chr-F: 0.687" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-de\n\n\n* source languages: cs\n* target languages: de\n* OPUS readme: cs-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.525\ntestset: URL, BLEU: 21.1, chr-F: 0.520\ntestset: URL, BLEU: 22.2, chr-F: 0.525\ntestset: URL, BLEU: 22.1, chr-F: 0.527\ntestset: URL, BLEU: 21.6, chr-F: 0.515\ntestset: URL, BLEU: 22.2, chr-F: 0.516\ntestset: URL, BLEU: 24.8, chr-F: 0.538\ntestset: URL, BLEU: 23.6, chr-F: 0.530\ntestset: URL, BLEU: 51.6, chr-F: 0.687" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-cs-en\n\n\n* source languages: cs\n* target languages: en\n* OPUS readme: cs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.612\ntestset: URL, BLEU: 30.4, chr-F: 0.565\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.7, chr-F: 0.556\ntestset: URL, BLEU: 30.3, chr-F: 0.566\ntestset: URL, BLEU: 58.0, chr-F: 0.721" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-en\n\n\n* source languages: cs\n* target languages: en\n* OPUS readme: cs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.612\ntestset: URL, BLEU: 30.4, chr-F: 0.565\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.7, chr-F: 0.556\ntestset: URL, BLEU: 30.3, chr-F: 0.566\ntestset: URL, BLEU: 58.0, chr-F: 0.721" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "cs", "eo" ]

[ "### ces-epo\n\n\n* source group: Czech\n* target group: Esperanto\n* OPUS readme: ces-epo\n* model: transformer-align\n* source language(s): ces\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.459", "### System Info:\n\n\n* hf\\_name: ces-epo\n* source\\_languages: ces\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'eo']\n* src\\_constituents: {'ces'}\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: ces\n* tgt\\_alpha3: epo\n* short\\_pair: cs-eo\n* chrF2\\_score: 0.45899999999999996\n* bleu: 26.0\n* brevity\\_penalty: 0.94\n* ref\\_len: 24901.0\n* src\\_name: Czech\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: cs\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ces-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 #cs #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ces-epo\n\n\n* source group: Czech\n* target group: Esperanto\n* OPUS readme: ces-epo\n* model: transformer-align\n* source language(s): ces\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.459", "### System Info:\n\n\n* hf\\_name: ces-epo\n* source\\_languages: ces\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'eo']\n* src\\_constituents: {'ces'}\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: ces\n* tgt\\_alpha3: epo\n* short\\_pair: cs-eo\n* chrF2\\_score: 0.45899999999999996\n* bleu: 26.0\n* brevity\\_penalty: 0.94\n* ref\\_len: 24901.0\n* src\\_name: Czech\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: cs\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ces-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-cs-fi\n\n\n* source languages: cs\n* target languages: fi\n* OPUS readme: cs-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.523" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-fi\n\n\n* source languages: cs\n* target languages: fi\n* OPUS readme: cs-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.523" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-cs-fr\n\n\n* source languages: cs\n* target languages: fr\n* OPUS readme: cs-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: 21.0, chr-F: 0.488" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-fr\n\n\n* source languages: cs\n* target languages: fr\n* OPUS readme: cs-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: 21.0, chr-F: 0.488" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-cs-sv\n\n\n* source languages: cs\n* target languages: sv\n* OPUS readme: cs-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.6, chr-F: 0.527" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-sv\n\n\n* source languages: cs\n* target languages: sv\n* OPUS readme: cs-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.6, chr-F: 0.527" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "cs", "uk" ]

[ "### ces-ukr\n\n\n* source group: Czech\n* target group: Ukrainian\n* OPUS readme: ces-ukr\n* model: transformer-align\n* source language(s): ces\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.9, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: ces-ukr\n* source\\_languages: ces\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'uk']\n* src\\_constituents: {'ces'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ces\n* tgt\\_alpha3: ukr\n* short\\_pair: cs-uk\n* chrF2\\_score: 0.68\n* bleu: 50.9\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 8891.0\n* src\\_name: Czech\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: cs\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: ces-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ces-ukr\n\n\n* source group: Czech\n* target group: Ukrainian\n* OPUS readme: ces-ukr\n* model: transformer-align\n* source language(s): ces\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.9, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: ces-ukr\n* source\\_languages: ces\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'uk']\n* src\\_constituents: {'ces'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ces\n* tgt\\_alpha3: ukr\n* short\\_pair: cs-uk\n* chrF2\\_score: 0.68\n* bleu: 50.9\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 8891.0\n* src\\_name: Czech\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: cs\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: ces-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "csg", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-csg-es\n\n\n* source languages: csg\n* target languages: es\n* OPUS readme: csg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 93.1, chr-F: 0.952" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #csg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-csg-es\n\n\n* source languages: csg\n* target languages: es\n* OPUS readme: csg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 93.1, chr-F: 0.952" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "csn", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-csn-es\n\n\n* source languages: csn\n* target languages: es\n* OPUS readme: csn-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: 87.4, chr-F: 0.899" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #csn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-csn-es\n\n\n* source languages: csn\n* target languages: es\n* OPUS readme: csn-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: 87.4, chr-F: 0.899" ]

[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "so", "cus", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "so", "cus", "en" ]

[ "### cus-eng\n\n\n* source group: Cushitic languages\n* target group: English\n* OPUS readme: cus-eng\n* model: transformer\n* source language(s): som\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.2, chr-F: 0.303\ntestset: URL, BLEU: 16.2, chr-F: 0.303", "### System Info:\n\n\n* hf\\_name: cus-eng\n* source\\_languages: cus\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['so', 'cus', 'en']\n* src\\_constituents: {'som'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cus\n* tgt\\_alpha3: eng\n* short\\_pair: cus-en\n* chrF2\\_score: 0.303\n* bleu: 16.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: Cushitic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: cus\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cus-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #so #cus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cus-eng\n\n\n* source group: Cushitic languages\n* target group: English\n* OPUS readme: cus-eng\n* model: transformer\n* source language(s): som\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.2, chr-F: 0.303\ntestset: URL, BLEU: 16.2, chr-F: 0.303", "### System Info:\n\n\n* hf\\_name: cus-eng\n* source\\_languages: cus\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['so', 'cus', 'en']\n* src\\_constituents: {'som'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cus\n* tgt\\_alpha3: eng\n* short\\_pair: cus-en\n* chrF2\\_score: 0.303\n* bleu: 16.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: Cushitic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: cus\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cus-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cy", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-cy-en\n\n\n* source languages: cy\n* target languages: en\n* OPUS readme: cy-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: 33.0, chr-F: 0.525" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cy-en\n\n\n* source languages: cy\n* target languages: en\n* OPUS readme: cy-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: 33.0, chr-F: 0.525" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-da-de\n\n\n* source languages: da\n* target languages: de\n* OPUS readme: da-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.4, chr-F: 0.740" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-de\n\n\n* source languages: da\n* target languages: de\n* OPUS readme: da-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.4, chr-F: 0.740" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-da-en\n\n\n* source languages: da\n* target languages: en\n* OPUS readme: da-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: 63.6, chr-F: 0.769" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-en\n\n\n* source languages: da\n* target languages: en\n* OPUS readme: da-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: 63.6, chr-F: 0.769" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "da", "eo" ]

[ "### dan-epo\n\n\n* source group: Danish\n* target group: Esperanto\n* OPUS readme: dan-epo\n* model: transformer-align\n* source language(s): dan\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: 23.6, chr-F: 0.432", "### System Info:\n\n\n* hf\\_name: dan-epo\n* source\\_languages: dan\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'eo']\n* src\\_constituents: {'dan'}\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: dan\n* tgt\\_alpha3: epo\n* short\\_pair: da-eo\n* chrF2\\_score: 0.43200000000000005\n* bleu: 23.6\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 69856.0\n* src\\_name: Danish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: da\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: dan-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 #da #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dan-epo\n\n\n* source group: Danish\n* target group: Esperanto\n* OPUS readme: dan-epo\n* model: transformer-align\n* source language(s): dan\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: 23.6, chr-F: 0.432", "### System Info:\n\n\n* hf\\_name: dan-epo\n* source\\_languages: dan\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'eo']\n* src\\_constituents: {'dan'}\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: dan\n* tgt\\_alpha3: epo\n* short\\_pair: da-eo\n* chrF2\\_score: 0.43200000000000005\n* bleu: 23.6\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 69856.0\n* src\\_name: Danish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: da\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: dan-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-da-es\n\n\n* source languages: da\n* target languages: es\n* OPUS readme: da-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: 53.7, chr-F: 0.715" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-es\n\n\n* source languages: da\n* target languages: es\n* OPUS readme: da-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: 53.7, chr-F: 0.715" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-da-fi\n\n\n* source languages: da\n* target languages: fi\n* OPUS readme: da-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: 39.0, chr-F: 0.629" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-fi\n\n\n* source languages: da\n* target languages: fi\n* OPUS readme: da-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: 39.0, chr-F: 0.629" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-da-fr\n\n\n* source languages: da\n* target languages: fr\n* OPUS readme: da-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: 62.2, chr-F: 0.751" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-fr\n\n\n* source languages: da\n* target languages: fr\n* OPUS readme: da-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: 62.2, chr-F: 0.751" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "da", "no" ]

[ "### dan-nor\n\n\n* source group: Danish\n* target group: Norwegian\n* OPUS readme: dan-nor\n* model: transformer-align\n* source language(s): dan\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 66.4, chr-F: 0.801", "### System Info:\n\n\n* hf\\_name: dan-nor\n* source\\_languages: dan\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'no']\n* src\\_constituents: {'dan'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: dan\n* tgt\\_alpha3: nor\n* short\\_pair: da-no\n* chrF2\\_score: 0.8009999999999999\n* bleu: 66.4\n* brevity\\_penalty: 0.996\n* ref\\_len: 9691.0\n* src\\_name: Danish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: dan-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 #da #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dan-nor\n\n\n* source group: Danish\n* target group: Norwegian\n* OPUS readme: dan-nor\n* model: transformer-align\n* source language(s): dan\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 66.4, chr-F: 0.801", "### System Info:\n\n\n* hf\\_name: dan-nor\n* source\\_languages: dan\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'no']\n* src\\_constituents: {'dan'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: dan\n* tgt\\_alpha3: nor\n* short\\_pair: da-no\n* chrF2\\_score: 0.8009999999999999\n* bleu: 66.4\n* brevity\\_penalty: 0.996\n* ref\\_len: 9691.0\n* src\\_name: Danish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: dan-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "da", "ru" ]

[ "### dan-rus\n\n\n* source group: Danish\n* target group: Russian\n* OPUS readme: dan-rus\n* model: transformer-align\n* source language(s): dan\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.715", "### System Info:\n\n\n* hf\\_name: dan-rus\n* source\\_languages: dan\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'ru']\n* src\\_constituents: {'dan'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: dan\n* tgt\\_alpha3: rus\n* short\\_pair: da-ru\n* chrF2\\_score: 0.715\n* bleu: 52.5\n* brevity\\_penalty: 0.991\n* ref\\_len: 10480.0\n* src\\_name: Danish\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: dan-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dan-rus\n\n\n* source group: Danish\n* target group: Russian\n* OPUS readme: dan-rus\n* model: transformer-align\n* source language(s): dan\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.715", "### System Info:\n\n\n* hf\\_name: dan-rus\n* source\\_languages: dan\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'ru']\n* src\\_constituents: {'dan'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: dan\n* tgt\\_alpha3: rus\n* short\\_pair: da-ru\n* chrF2\\_score: 0.715\n* bleu: 52.5\n* brevity\\_penalty: 0.991\n* ref\\_len: 10480.0\n* src\\_name: Danish\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: dan-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "zh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ZH\n\n\n* source languages: de\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: de-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: 24.4, chr-F: 0.335" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ZH\n\n\n* source languages: de\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: de-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: 24.4, chr-F: 0.335" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "af" ]

[ "### deu-afr\n\n\n* source group: German\n* target group: Afrikaans\n* OPUS readme: deu-afr\n* model: transformer-align\n* source language(s): deu\n* target language(s): afr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.3, chr-F: 0.690", "### System Info:\n\n\n* hf\\_name: deu-afr\n* source\\_languages: deu\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'af']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'afr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: afr\n* short\\_pair: de-af\n* chrF2\\_score: 0.69\n* bleu: 51.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 9507.0\n* src\\_name: German\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: deu-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-afr\n\n\n* source group: German\n* target group: Afrikaans\n* OPUS readme: deu-afr\n* model: transformer-align\n* source language(s): deu\n* target language(s): afr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.3, chr-F: 0.690", "### System Info:\n\n\n* hf\\_name: deu-afr\n* source\\_languages: deu\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'af']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'afr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: afr\n* short\\_pair: de-af\n* chrF2\\_score: 0.69\n* bleu: 51.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 9507.0\n* src\\_name: German\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: deu-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "ar" ]

[ "### deu-ara\n\n\n* source group: German\n* target group: Arabic\n* OPUS readme: deu-ara\n* model: transformer-align\n* source language(s): deu\n* target language(s): afb apc ara ara\\_Latn arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 19.7, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: deu-ara\n* source\\_languages: deu\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ar']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: ara\n* short\\_pair: de-ar\n* chrF2\\_score: 0.486\n* bleu: 19.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 6324.0\n* src\\_name: German\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: deu-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-ara\n\n\n* source group: German\n* target group: Arabic\n* OPUS readme: deu-ara\n* model: transformer-align\n* source language(s): deu\n* target language(s): afb apc ara ara\\_Latn arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 19.7, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: deu-ara\n* source\\_languages: deu\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ar']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: ara\n* short\\_pair: de-ar\n* chrF2\\_score: 0.486\n* bleu: 19.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 6324.0\n* src\\_name: German\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: deu-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ase", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ase\n\n\n* source languages: de\n* target languages: ase\n* OPUS readme: de-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: 30.4, chr-F: 0.483" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ase\n\n\n* source languages: de\n* target languages: ase\n* OPUS readme: de-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: 30.4, chr-F: 0.483" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bcl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-bcl\n\n\n* source languages: de\n* target languages: bcl\n* OPUS readme: de-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: 34.6, chr-F: 0.563" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-bcl\n\n\n* source languages: de\n* target languages: bcl\n* OPUS readme: de-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: 34.6, chr-F: 0.563" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "bg" ]

[ "### deu-bul\n\n\n* source group: German\n* target group: Bulgarian\n* OPUS readme: deu-bul\n* model: transformer\n* source language(s): deu\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.7, chr-F: 0.683", "### System Info:\n\n\n* hf\\_name: deu-bul\n* source\\_languages: deu\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'bg']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: bul\n* short\\_pair: de-bg\n* chrF2\\_score: 0.6829999999999999\n* bleu: 50.7\n* brevity\\_penalty: 0.98\n* ref\\_len: 2032.0\n* src\\_name: German\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: deu-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-bul\n\n\n* source group: German\n* target group: Bulgarian\n* OPUS readme: deu-bul\n* model: transformer\n* source language(s): deu\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.7, chr-F: 0.683", "### System Info:\n\n\n* hf\\_name: deu-bul\n* source\\_languages: deu\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'bg']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: bul\n* short\\_pair: de-bg\n* chrF2\\_score: 0.6829999999999999\n* bleu: 50.7\n* brevity\\_penalty: 0.98\n* ref\\_len: 2032.0\n* src\\_name: German\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: deu-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-bi\n\n\n* source languages: de\n* target languages: bi\n* OPUS readme: de-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: 25.7, chr-F: 0.450" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-bi\n\n\n* source languages: de\n* target languages: bi\n* OPUS readme: de-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: 25.7, chr-F: 0.450" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bzs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-bzs\n\n\n* source languages: de\n* target languages: bzs\n* OPUS readme: de-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: 21.0, chr-F: 0.389" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-bzs\n\n\n* source languages: de\n* target languages: bzs\n* OPUS readme: de-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: 21.0, chr-F: 0.389" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "ca" ]

[ "### deu-cat\n\n\n* source group: German\n* target group: Catalan\n* OPUS readme: deu-cat\n* model: transformer-align\n* source language(s): deu\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.4, chr-F: 0.582", "### System Info:\n\n\n* hf\\_name: deu-cat\n* source\\_languages: deu\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ca']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: cat\n* short\\_pair: de-ca\n* chrF2\\_score: 0.5820000000000001\n* bleu: 37.4\n* brevity\\_penalty: 0.956\n* ref\\_len: 5507.0\n* src\\_name: German\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: deu-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-cat\n\n\n* source group: German\n* target group: Catalan\n* OPUS readme: deu-cat\n* model: transformer-align\n* source language(s): deu\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.4, chr-F: 0.582", "### System Info:\n\n\n* hf\\_name: deu-cat\n* source\\_languages: deu\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ca']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: cat\n* short\\_pair: de-ca\n* chrF2\\_score: 0.5820000000000001\n* bleu: 37.4\n* brevity\\_penalty: 0.956\n* ref\\_len: 5507.0\n* src\\_name: German\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: deu-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "crs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-crs\n\n\n* source languages: de\n* target languages: crs\n* OPUS readme: de-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: 24.1, chr-F: 0.429" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-crs\n\n\n* source languages: de\n* target languages: crs\n* OPUS readme: de-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: 24.1, chr-F: 0.429" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "cs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-cs\n\n\n* source languages: de\n* target languages: cs\n* OPUS readme: de-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: 22.4, chr-F: 0.499\ntestset: URL, BLEU: 20.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.485\ntestset: URL, BLEU: 22.7, chr-F: 0.510\ntestset: URL, BLEU: 21.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.479\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 22.5, chr-F: 0.495\ntestset: URL, BLEU: 42.2, chr-F: 0.625" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-cs\n\n\n* source languages: de\n* target languages: cs\n* OPUS readme: de-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: 22.4, chr-F: 0.499\ntestset: URL, BLEU: 20.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.485\ntestset: URL, BLEU: 22.7, chr-F: 0.510\ntestset: URL, BLEU: 21.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.479\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 22.5, chr-F: 0.495\ntestset: URL, BLEU: 42.2, chr-F: 0.625" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "da", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-da\n\n\n* source languages: de\n* target languages: da\n* OPUS readme: de-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.2, chr-F: 0.730" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-da\n\n\n* source languages: de\n* target languages: da\n* OPUS readme: de-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.2, chr-F: 0.730" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-de\n\n\n* source languages: de\n* target languages: de\n* OPUS readme: de-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.7, chr-F: 0.616" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-de\n\n\n* source languages: de\n* target languages: de\n* OPUS readme: de-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.7, chr-F: 0.616" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ee", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ee\n\n\n* source languages: de\n* target languages: ee\n* OPUS readme: de-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: 24.6, chr-F: 0.463" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ee\n\n\n* source languages: de\n* target languages: ee\n* OPUS readme: de-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: 24.6, chr-F: 0.463" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "efi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-efi\n\n\n* source languages: de\n* target languages: efi\n* OPUS readme: de-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.451" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-efi\n\n\n* source languages: de\n* target languages: efi\n* OPUS readme: de-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.2, chr-F: 0.451" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "el", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-el\n\n\n* source languages: de\n* target languages: el\n* OPUS readme: de-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: 45.7, chr-F: 0.649" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-el\n\n\n* source languages: de\n* target languages: el\n* OPUS readme: de-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: 45.7, chr-F: 0.649" ]

[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "de", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-en\n\n\n* source languages: de\n* target languages: en\n* OPUS readme: de-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: 29.4, chr-F: 0.557\ntestset: URL, BLEU: 27.8, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.543\ntestset: URL, BLEU: 30.2, chr-F: 0.584\ntestset: URL, BLEU: 27.4, chr-F: 0.556\ntestset: URL, BLEU: 29.1, chr-F: 0.569\ntestset: URL, BLEU: 32.1, chr-F: 0.583\ntestset: URL, BLEU: 34.0, chr-F: 0.600\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 40.4, chr-F: 0.649\ntestset: URL, BLEU: 35.7, chr-F: 0.610\ntestset: URL, BLEU: 43.7, chr-F: 0.667\ntestset: URL, BLEU: 40.1, chr-F: 0.642\ntestset: URL, BLEU: 55.4, chr-F: 0.707" ]

[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #de #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-en\n\n\n* source languages: de\n* target languages: en\n* OPUS readme: de-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: 29.4, chr-F: 0.557\ntestset: URL, BLEU: 27.8, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.543\ntestset: URL, BLEU: 30.2, chr-F: 0.584\ntestset: URL, BLEU: 27.4, chr-F: 0.556\ntestset: URL, BLEU: 29.1, chr-F: 0.569\ntestset: URL, BLEU: 32.1, chr-F: 0.583\ntestset: URL, BLEU: 34.0, chr-F: 0.600\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 40.4, chr-F: 0.649\ntestset: URL, BLEU: 35.7, chr-F: 0.610\ntestset: URL, BLEU: 43.7, chr-F: 0.667\ntestset: URL, BLEU: 40.1, chr-F: 0.642\ntestset: URL, BLEU: 55.4, chr-F: 0.707" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-eo\n\n\n* source languages: de\n* target languages: eo\n* OPUS readme: de-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.6, chr-F: 0.673" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-eo\n\n\n* source languages: de\n* target languages: eo\n* OPUS readme: de-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.6, chr-F: 0.673" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-es\n\n\n* source languages: de\n* target languages: es\n* OPUS readme: de-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: 48.5, chr-F: 0.676" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-es\n\n\n* source languages: de\n* target languages: es\n* OPUS readme: de-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: 48.5, chr-F: 0.676" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "et", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-et\n\n\n* source languages: de\n* target languages: et\n* OPUS readme: de-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.465" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-et\n\n\n* source languages: de\n* target languages: et\n* OPUS readme: de-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.465" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "eu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "eu" ]

[ "### deu-eus\n\n\n* source group: German\n* target group: Basque\n* OPUS readme: deu-eus\n* model: transformer-align\n* source language(s): deu\n* target language(s): eus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.8, chr-F: 0.574", "### System Info:\n\n\n* hf\\_name: deu-eus\n* source\\_languages: deu\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'eu']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: eus\n* short\\_pair: de-eu\n* chrF2\\_score: 0.574\n* bleu: 31.8\n* brevity\\_penalty: 0.9209999999999999\n* ref\\_len: 2829.0\n* src\\_name: German\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: deu-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-eus\n\n\n* source group: German\n* target group: Basque\n* OPUS readme: deu-eus\n* model: transformer-align\n* source language(s): deu\n* target language(s): eus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.8, chr-F: 0.574", "### System Info:\n\n\n* hf\\_name: deu-eus\n* source\\_languages: deu\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'eu']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: eus\n* short\\_pair: de-eu\n* chrF2\\_score: 0.574\n* bleu: 31.8\n* brevity\\_penalty: 0.9209999999999999\n* ref\\_len: 2829.0\n* src\\_name: German\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: deu-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-fi\n\n\n* source languages: de\n* target languages: fi\n* OPUS readme: de-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.0, chr-F: 0.628" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-fi\n\n\n* source languages: de\n* target languages: fi\n* OPUS readme: de-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.0, chr-F: 0.628" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "fj", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-fj\n\n\n* source languages: de\n* target languages: fj\n* OPUS readme: de-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.470" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-fj\n\n\n* source languages: de\n* target languages: fj\n* OPUS readme: de-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.470" ]

[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "de", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-fr\n\n\n* source languages: de\n* target languages: fr\n* OPUS readme: de-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: euelections\\_dev2019.URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 26.8, chr-F: 0.553\ntestset: URL, BLEU: 26.4, chr-F: 0.548\ntestset: URL, BLEU: 25.6, chr-F: 0.539\ntestset: URL, BLEU: 29.1, chr-F: 0.572\ntestset: URL, BLEU: 26.9, chr-F: 0.551\ntestset: URL, BLEU: 27.7, chr-F: 0.554\ntestset: URL, BLEU: 29.5, chr-F: 0.560\ntestset: URL, BLEU: 36.6, chr-F: 0.625\ntestset: URL, BLEU: 49.2, chr-F: 0.664" ]

[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #de #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-fr\n\n\n* source languages: de\n* target languages: fr\n* OPUS readme: de-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: euelections\\_dev2019.URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 26.8, chr-F: 0.553\ntestset: URL, BLEU: 26.4, chr-F: 0.548\ntestset: URL, BLEU: 25.6, chr-F: 0.539\ntestset: URL, BLEU: 29.1, chr-F: 0.572\ntestset: URL, BLEU: 26.9, chr-F: 0.551\ntestset: URL, BLEU: 27.7, chr-F: 0.554\ntestset: URL, BLEU: 29.5, chr-F: 0.560\ntestset: URL, BLEU: 36.6, chr-F: 0.625\ntestset: URL, BLEU: 49.2, chr-F: 0.664" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "gaa", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-gaa\n\n\n* source languages: de\n* target languages: gaa\n* OPUS readme: de-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: 26.3, chr-F: 0.471" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-gaa\n\n\n* source languages: de\n* target languages: gaa\n* OPUS readme: de-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: 26.3, chr-F: 0.471" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "gil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-gil\n\n\n* source languages: de\n* target languages: gil\n* OPUS readme: de-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: 24.0, chr-F: 0.472" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-gil\n\n\n* source languages: de\n* target languages: gil\n* OPUS readme: de-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: 24.0, chr-F: 0.472" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "guw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-guw\n\n\n* source languages: de\n* target languages: guw\n* OPUS readme: de-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: 27.1, chr-F: 0.472" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-guw\n\n\n* source languages: de\n* target languages: guw\n* OPUS readme: de-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: 27.1, chr-F: 0.472" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ha", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ha\n\n\n* source languages: de\n* target languages: ha\n* OPUS readme: de-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.417" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ha\n\n\n* source languages: de\n* target languages: ha\n* OPUS readme: de-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.417" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-he\n\n\n* source languages: de\n* target languages: he\n* OPUS readme: de-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: 36.6, chr-F: 0.581" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-he\n\n\n* source languages: de\n* target languages: he\n* OPUS readme: de-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: 36.6, chr-F: 0.581" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-hil\n\n\n* source languages: de\n* target languages: hil\n* OPUS readme: de-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: 33.9, chr-F: 0.563" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-hil\n\n\n* source languages: de\n* target languages: hil\n* OPUS readme: de-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: 33.9, chr-F: 0.563" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ho", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ho\n\n\n* source languages: de\n* target languages: ho\n* OPUS readme: de-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.6, chr-F: 0.461" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ho\n\n\n* source languages: de\n* target languages: ho\n* OPUS readme: de-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.6, chr-F: 0.461" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-hr\n\n\n* source languages: de\n* target languages: hr\n* OPUS readme: de-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: 42.6, chr-F: 0.643" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-hr\n\n\n* source languages: de\n* target languages: hr\n* OPUS readme: de-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: 42.6, chr-F: 0.643" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ht", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ht\n\n\n* source languages: de\n* target languages: ht\n* OPUS readme: de-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: 21.8, chr-F: 0.390" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ht\n\n\n* source languages: de\n* target languages: ht\n* OPUS readme: de-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: 21.8, chr-F: 0.390" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-hu\n\n\n* source languages: de\n* target languages: hu\n* OPUS readme: de-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: 34.3, chr-F: 0.588" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-hu\n\n\n* source languages: de\n* target languages: hu\n* OPUS readme: de-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: 34.3, chr-F: 0.588" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ig", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ig\n\n\n* source languages: de\n* target languages: ig\n* OPUS readme: de-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: 25.3, chr-F: 0.422" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ig\n\n\n* source languages: de\n* target languages: ig\n* OPUS readme: de-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: 25.3, chr-F: 0.422" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ilo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ilo\n\n\n* source languages: de\n* target languages: ilo\n* OPUS readme: de-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: 29.8, chr-F: 0.533" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ilo\n\n\n* source languages: de\n* target languages: ilo\n* OPUS readme: de-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: 29.8, chr-F: 0.533" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "is", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "is" ]

[ "### deu-isl\n\n\n* source group: German\n* target group: Icelandic\n* OPUS readme: deu-isl\n* model: transformer-align\n* source language(s): deu\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.533", "### System Info:\n\n\n* hf\\_name: deu-isl\n* source\\_languages: deu\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'is']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'isl'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: isl\n* short\\_pair: de-is\n* chrF2\\_score: 0.5329999999999999\n* bleu: 27.1\n* brevity\\_penalty: 0.9620000000000001\n* ref\\_len: 5939.0\n* src\\_name: German\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: deu-isl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-isl\n\n\n* source group: German\n* target group: Icelandic\n* OPUS readme: deu-isl\n* model: transformer-align\n* source language(s): deu\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.533", "### System Info:\n\n\n* hf\\_name: deu-isl\n* source\\_languages: deu\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'is']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'isl'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: isl\n* short\\_pair: de-is\n* chrF2\\_score: 0.5329999999999999\n* bleu: 27.1\n* brevity\\_penalty: 0.9620000000000001\n* ref\\_len: 5939.0\n* src\\_name: German\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: deu-isl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "iso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-iso\n\n\n* source languages: de\n* target languages: iso\n* OPUS readme: de-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: 21.4, chr-F: 0.389" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-iso\n\n\n* source languages: de\n* target languages: iso\n* OPUS readme: de-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: 21.4, chr-F: 0.389" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-it\n\n\n* source languages: de\n* target languages: it\n* OPUS readme: de-it\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.3, chr-F: 0.671" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-it\n\n\n* source languages: de\n* target languages: it\n* OPUS readme: de-it\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.3, chr-F: 0.671" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "kg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-kg\n\n\n* source languages: de\n* target languages: kg\n* OPUS readme: de-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: 24.4, chr-F: 0.474" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-kg\n\n\n* source languages: de\n* target languages: kg\n* OPUS readme: de-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: 24.4, chr-F: 0.474" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ln", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ln\n\n\n* source languages: de\n* target languages: ln\n* OPUS readme: de-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: 26.7, chr-F: 0.504" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ln\n\n\n* source languages: de\n* target languages: ln\n* OPUS readme: de-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: 26.7, chr-F: 0.504" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "loz", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-loz\n\n\n* source languages: de\n* target languages: loz\n* OPUS readme: de-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.480" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-loz\n\n\n* source languages: de\n* target languages: loz\n* OPUS readme: de-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.480" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "lt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-lt\n\n\n* source languages: de\n* target languages: lt\n* OPUS readme: de-lt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.633" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-lt\n\n\n* source languages: de\n* target languages: lt\n* OPUS readme: de-lt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.633" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "lua", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-lua\n\n\n* source languages: de\n* target languages: lua\n* OPUS readme: de-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.467" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-lua\n\n\n* source languages: de\n* target languages: lua\n* OPUS readme: de-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.467" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "ms" ]

[ "### deu-msa\n\n\n* source group: German\n* target group: Malay (macrolanguage)\n* OPUS readme: deu-msa\n* model: transformer-align\n* source language(s): deu\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.0, chr-F: 0.607", "### System Info:\n\n\n* hf\\_name: deu-msa\n* source\\_languages: deu\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ms']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: msa\n* short\\_pair: de-ms\n* chrF2\\_score: 0.607\n* bleu: 34.0\n* brevity\\_penalty: 0.9540000000000001\n* ref\\_len: 3729.0\n* src\\_name: German\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: deu-msa\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 #de #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-msa\n\n\n* source group: German\n* target group: Malay (macrolanguage)\n* OPUS readme: deu-msa\n* model: transformer-align\n* source language(s): deu\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.0, chr-F: 0.607", "### System Info:\n\n\n* hf\\_name: deu-msa\n* source\\_languages: deu\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ms']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: msa\n* short\\_pair: de-ms\n* chrF2\\_score: 0.607\n* bleu: 34.0\n* brevity\\_penalty: 0.9540000000000001\n* ref\\_len: 3729.0\n* src\\_name: German\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: deu-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "mt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-mt\n\n\n* source languages: de\n* target languages: mt\n* OPUS readme: de-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: 25.0, chr-F: 0.436" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-mt\n\n\n* source languages: de\n* target languages: mt\n* OPUS readme: de-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: 25.0, chr-F: 0.436" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "niu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-niu\n\n\n* source languages: de\n* target languages: niu\n* OPUS readme: de-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: 28.4, chr-F: 0.496" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-niu\n\n\n* source languages: de\n* target languages: niu\n* OPUS readme: de-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: 28.4, chr-F: 0.496" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-nl\n\n\n* source languages: de\n* target languages: nl\n* OPUS readme: de-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: 52.8, chr-F: 0.699" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-nl\n\n\n* source languages: de\n* target languages: nl\n* OPUS readme: de-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: 52.8, chr-F: 0.699" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "no" ]

[ "### deu-nor\n\n\n* source group: German\n* target group: Norwegian\n* OPUS readme: deu-nor\n* model: transformer-align\n* source language(s): deu\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: 33.2, chr-F: 0.554", "### System Info:\n\n\n* hf\\_name: deu-nor\n* source\\_languages: deu\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'no']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: nor\n* short\\_pair: de-no\n* chrF2\\_score: 0.5539999999999999\n* bleu: 33.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 32928.0\n* src\\_name: German\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-nor\n\n\n* source group: German\n* target group: Norwegian\n* OPUS readme: deu-nor\n* model: transformer-align\n* source language(s): deu\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: 33.2, chr-F: 0.554", "### System Info:\n\n\n* hf\\_name: deu-nor\n* source\\_languages: deu\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'no']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: nor\n* short\\_pair: de-no\n* chrF2\\_score: 0.5539999999999999\n* bleu: 33.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 32928.0\n* src\\_name: German\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: deu-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "nso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-nso\n\n\n* source languages: de\n* target languages: nso\n* OPUS readme: de-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: 31.1, chr-F: 0.519" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-nso\n\n\n* source languages: de\n* target languages: nso\n* OPUS readme: de-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: 31.1, chr-F: 0.519" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ny", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-ny\n\n\n* source languages: de\n* target languages: ny\n* OPUS readme: de-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: 21.4, chr-F: 0.481" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ny\n\n\n* source languages: de\n* target languages: ny\n* OPUS readme: de-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: 21.4, chr-F: 0.481" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pag", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-pag\n\n\n* source languages: de\n* target languages: pag\n* OPUS readme: de-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: 24.3, chr-F: 0.469" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pag\n\n\n* source languages: de\n* target languages: pag\n* OPUS readme: de-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: 24.3, chr-F: 0.469" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pap", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-pap\n\n\n* source languages: de\n* target languages: pap\n* OPUS readme: de-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: 25.6, chr-F: 0.453" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pap\n\n\n* source languages: de\n* target languages: pap\n* OPUS readme: de-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: 25.6, chr-F: 0.453" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pis", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-pis\n\n\n* source languages: de\n* target languages: pis\n* OPUS readme: de-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: 26.0, chr-F: 0.470" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pis\n\n\n* source languages: de\n* target languages: pis\n* OPUS readme: de-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: 26.0, chr-F: 0.470" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-pl\n\n\n* source languages: de\n* target languages: pl\n* OPUS readme: de-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.631" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pl\n\n\n* source languages: de\n* target languages: pl\n* OPUS readme: de-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.631" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pon", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-de-pon\n\n\n* source languages: de\n* target languages: pon\n* OPUS readme: de-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.0, chr-F: 0.442" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pon\n\n\n* source languages: de\n* target languages: pon\n* OPUS readme: de-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.0, chr-F: 0.442" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "tl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "tl" ]

[ "### deu-tgl\n\n\n* source group: German\n* target group: Tagalog\n* OPUS readme: deu-tgl\n* model: transformer-align\n* source language(s): deu\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.541", "### System Info:\n\n\n* hf\\_name: deu-tgl\n* source\\_languages: deu\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'tl']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: tgl\n* short\\_pair: de-tl\n* chrF2\\_score: 0.541\n* bleu: 21.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 2329.0\n* src\\_name: German\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: deu-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-tgl\n\n\n* source group: German\n* target group: Tagalog\n* OPUS readme: deu-tgl\n* model: transformer-align\n* source language(s): deu\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.541", "### System Info:\n\n\n* hf\\_name: deu-tgl\n* source\\_languages: deu\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'tl']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: tgl\n* short\\_pair: de-tl\n* chrF2\\_score: 0.541\n* bleu: 21.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 2329.0\n* src\\_name: German\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: deu-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "uk" ]

[ "### deu-ukr\n\n\n* source group: German\n* target group: Ukrainian\n* OPUS readme: deu-ukr\n* model: transformer-align\n* source language(s): deu\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.2, chr-F: 0.612", "### System Info:\n\n\n* hf\\_name: deu-ukr\n* source\\_languages: deu\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'uk']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: ukr\n* short\\_pair: de-uk\n* chrF2\\_score: 0.612\n* bleu: 40.2\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 54213.0\n* src\\_name: German\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: deu-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-ukr\n\n\n* source group: German\n* target group: Ukrainian\n* OPUS readme: deu-ukr\n* model: transformer-align\n* source language(s): deu\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.2, chr-F: 0.612", "### System Info:\n\n\n* hf\\_name: deu-ukr\n* source\\_languages: deu\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'uk']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: ukr\n* short\\_pair: de-uk\n* chrF2\\_score: 0.612\n* bleu: 40.2\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 54213.0\n* src\\_name: German\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: deu-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "vi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "de", "vi" ]

[ "### deu-vie\n\n\n* source group: German\n* target group: Vietnamese\n* OPUS readme: deu-vie\n* model: transformer-align\n* source language(s): deu\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.443", "### System Info:\n\n\n* hf\\_name: deu-vie\n* source\\_languages: deu\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'vi']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: vie\n* short\\_pair: de-vi\n* chrF2\\_score: 0.44299999999999995\n* bleu: 25.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 3768.0\n* src\\_name: German\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: deu-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-vie\n\n\n* source group: German\n* target group: Vietnamese\n* OPUS readme: deu-vie\n* model: transformer-align\n* source language(s): deu\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.443", "### System Info:\n\n\n* hf\\_name: deu-vie\n* source\\_languages: deu\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'vi']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: vie\n* short\\_pair: de-vi\n* chrF2\\_score: 0.44299999999999995\n* bleu: 25.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 3768.0\n* src\\_name: German\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: deu-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ta", "kn", "ml", "te", "dra", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "ta", "kn", "ml", "te", "dra", "en" ]

[ "### dra-eng\n\n\n* source group: Dravidian languages\n* target group: English\n* OPUS readme: dra-eng\n* model: transformer\n* source language(s): kan mal tam tel\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 9.1, chr-F: 0.312\ntestset: URL, BLEU: 42.0, chr-F: 0.584\ntestset: URL, BLEU: 30.0, chr-F: 0.493\ntestset: URL, BLEU: 30.2, chr-F: 0.467\ntestset: URL, BLEU: 15.9, chr-F: 0.378", "### System Info:\n\n\n* hf\\_name: dra-eng\n* source\\_languages: dra\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']\n* src\\_constituents: {'tam', 'kan', 'mal', 'tel'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: dra\n* tgt\\_alpha3: eng\n* short\\_pair: dra-en\n* chrF2\\_score: 0.493\n* bleu: 30.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 10641.0\n* src\\_name: Dravidian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: dra\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: dra-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ta #kn #ml #te #dra #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dra-eng\n\n\n* source group: Dravidian languages\n* target group: English\n* OPUS readme: dra-eng\n* model: transformer\n* source language(s): kan mal tam tel\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 9.1, chr-F: 0.312\ntestset: URL, BLEU: 42.0, chr-F: 0.584\ntestset: URL, BLEU: 30.0, chr-F: 0.493\ntestset: URL, BLEU: 30.2, chr-F: 0.467\ntestset: URL, BLEU: 15.9, chr-F: 0.378", "### System Info:\n\n\n* hf\\_name: dra-eng\n* source\\_languages: dra\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']\n* src\\_constituents: {'tam', 'kan', 'mal', 'tel'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: dra\n* tgt\\_alpha3: eng\n* short\\_pair: dra-en\n* chrF2\\_score: 0.493\n* bleu: 30.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 10641.0\n* src\\_name: Dravidian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: dra\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: dra-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ee", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-ee-de\n\n\n* source languages: ee\n* target languages: de\n* OPUS readme: ee-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.3, chr-F: 0.430" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ee-de\n\n\n* source languages: ee\n* target languages: de\n* OPUS readme: ee-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.3, chr-F: 0.430" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ee", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-ee-en\n\n\n* source languages: ee\n* target languages: en\n* OPUS readme: ee-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: 39.3, chr-F: 0.556\ntestset: URL, BLEU: 21.2, chr-F: 0.569" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ee-en\n\n\n* source languages: ee\n* target languages: en\n* OPUS readme: ee-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: 39.3, chr-F: 0.556\ntestset: URL, BLEU: 21.2, chr-F: 0.569" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ee", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-ee-es\n\n\n* source languages: ee\n* target languages: es\n* OPUS readme: ee-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.449" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ee-es\n\n\n* source languages: ee\n* target languages: es\n* OPUS readme: ee-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.449" ]