Datasets:

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ftopal

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huggingface-models-processed

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

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[ "### opus-mt-lus-sv\n\n\n* source languages: lus\n* target languages: sv\n* OPUS readme: lus-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: 25.5, chr-F: 0.439" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lus-sv\n\n\n* source languages: lus\n* target languages: sv\n* OPUS readme: lus-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: 25.5, chr-F: 0.439" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lus-sv\n\n\n* source languages: lus\n* target languages: sv\n* OPUS readme: lus-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: 25.5, chr-F: 0.439" ]

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

[]

[]

[ "### opus-mt-lv-en\n\n\n* source languages: lv\n* target languages: en\n* OPUS readme: lv-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: 29.9, chr-F: 0.587\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 53.3, chr-F: 0.707" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-en\n\n\n* source languages: lv\n* target languages: en\n* OPUS readme: lv-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: 29.9, chr-F: 0.587\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 53.3, chr-F: 0.707" ]

[ 52, 155 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-en\n\n\n* source languages: lv\n* target languages: en\n* OPUS readme: lv-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: 29.9, chr-F: 0.587\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 53.3, chr-F: 0.707" ]

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

[]

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[ "### opus-mt-lv-es\n\n\n* source languages: lv\n* target languages: es\n* OPUS readme: lv-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: 21.7, chr-F: 0.433" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-es\n\n\n* source languages: lv\n* target languages: es\n* OPUS readme: lv-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: 21.7, chr-F: 0.433" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-es\n\n\n* source languages: lv\n* target languages: es\n* OPUS readme: lv-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: 21.7, chr-F: 0.433" ]

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

[]

[]

[ "### opus-mt-lv-fi\n\n\n* source languages: lv\n* target languages: fi\n* OPUS readme: lv-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: 20.6, chr-F: 0.469" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-fi\n\n\n* source languages: lv\n* target languages: fi\n* OPUS readme: lv-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: 20.6, chr-F: 0.469" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-fi\n\n\n* source languages: lv\n* target languages: fi\n* OPUS readme: lv-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: 20.6, chr-F: 0.469" ]

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

[]

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[ "### opus-mt-lv-fr\n\n\n* source languages: lv\n* target languages: fr\n* OPUS readme: lv-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: 22.1, chr-F: 0.437" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-fr\n\n\n* source languages: lv\n* target languages: fr\n* OPUS readme: lv-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: 22.1, chr-F: 0.437" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-fr\n\n\n* source languages: lv\n* target languages: fr\n* OPUS readme: lv-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: 22.1, chr-F: 0.437" ]

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

[]

[ "lv", "ru" ]

[ "### lav-rus\n\n\n* source group: Latvian\n* target group: Russian\n* OPUS readme: lav-rus\n* model: transformer-align\n* source language(s): lav\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: 53.3, chr-F: 0.702", "### System Info:\n\n\n* hf\\_name: lav-rus\n* source\\_languages: lav\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lv', 'ru']\n* src\\_constituents: {'lav'}\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: lav\n* tgt\\_alpha3: rus\n* short\\_pair: lv-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 53.3\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 1541.0\n* src\\_name: Latvian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lv\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lav-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 #lv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lav-rus\n\n\n* source group: Latvian\n* target group: Russian\n* OPUS readme: lav-rus\n* model: transformer-align\n* source language(s): lav\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: 53.3, chr-F: 0.702", "### System Info:\n\n\n* hf\\_name: lav-rus\n* source\\_languages: lav\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lv', 'ru']\n* src\\_constituents: {'lav'}\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: lav\n* tgt\\_alpha3: rus\n* short\\_pair: lv-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 53.3\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 1541.0\n* src\\_name: Latvian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lv\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lav-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 52, 134, 411 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lav-rus\n\n\n* source group: Latvian\n* target group: Russian\n* OPUS readme: lav-rus\n* model: transformer-align\n* source language(s): lav\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: 53.3, chr-F: 0.702### System Info:\n\n\n* hf\\_name: lav-rus\n* source\\_languages: lav\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lv', 'ru']\n* src\\_constituents: {'lav'}\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: lav\n* tgt\\_alpha3: rus\n* short\\_pair: lv-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 53.3\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 1541.0\n* src\\_name: Latvian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lv\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lav-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", "lv", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-lv-sv\n\n\n* source languages: lv\n* target languages: sv\n* OPUS readme: lv-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: 22.0, chr-F: 0.444" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-sv\n\n\n* source languages: lv\n* target languages: sv\n* OPUS readme: lv-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: 22.0, chr-F: 0.444" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-sv\n\n\n* source languages: lv\n* target languages: sv\n* OPUS readme: lv-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: 22.0, chr-F: 0.444" ]

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

[]

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[ "### opus-mt-mfe-en\n\n\n* source languages: mfe\n* target languages: en\n* OPUS readme: mfe-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: 39.9, chr-F: 0.552" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mfe-en\n\n\n* source languages: mfe\n* target languages: en\n* OPUS readme: mfe-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: 39.9, chr-F: 0.552" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mfe-en\n\n\n* source languages: mfe\n* target languages: en\n* OPUS readme: mfe-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: 39.9, chr-F: 0.552" ]

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

[]

[]

[ "### opus-mt-mfe-es\n\n\n* source languages: mfe\n* target languages: es\n* OPUS readme: mfe-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: 24.0, chr-F: 0.418" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mfe-es\n\n\n* source languages: mfe\n* target languages: es\n* OPUS readme: mfe-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: 24.0, chr-F: 0.418" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mfe-es\n\n\n* source languages: mfe\n* target languages: es\n* OPUS readme: mfe-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: 24.0, chr-F: 0.418" ]

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

[]

[]

[ "### opus-mt-mfs-es\n\n\n* source languages: mfs\n* target languages: es\n* OPUS readme: mfs-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: 88.9, chr-F: 0.910" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mfs-es\n\n\n* source languages: mfs\n* target languages: es\n* OPUS readme: mfs-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: 88.9, chr-F: 0.910" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mfs-es\n\n\n* source languages: mfs\n* target languages: es\n* OPUS readme: mfs-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: 88.9, chr-F: 0.910" ]

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

[]

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[ "### opus-mt-mg-en\n\n\n* source languages: mg\n* target languages: en\n* OPUS readme: mg-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: 27.6, chr-F: 0.522\ntestset: URL, BLEU: 50.2, chr-F: 0.607" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mg-en\n\n\n* source languages: mg\n* target languages: en\n* OPUS readme: mg-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: 27.6, chr-F: 0.522\ntestset: URL, BLEU: 50.2, chr-F: 0.607" ]

[ 51, 129 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mg-en\n\n\n* source languages: mg\n* target languages: en\n* OPUS readme: mg-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: 27.6, chr-F: 0.522\ntestset: URL, BLEU: 50.2, chr-F: 0.607" ]

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

[]

[]

[ "### opus-mt-mg-es\n\n\n* source languages: mg\n* target languages: es\n* OPUS readme: mg-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: 23.1, chr-F: 0.480" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mg-es\n\n\n* source languages: mg\n* target languages: es\n* OPUS readme: mg-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: 23.1, chr-F: 0.480" ]

[ 51, 105 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mg-es\n\n\n* source languages: mg\n* target languages: es\n* OPUS readme: mg-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: 23.1, chr-F: 0.480" ]

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

[]

[]

[ "### opus-mt-mh-en\n\n\n* source languages: mh\n* target languages: en\n* OPUS readme: mh-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: 36.5, chr-F: 0.505" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mh-en\n\n\n* source languages: mh\n* target languages: en\n* OPUS readme: mh-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: 36.5, chr-F: 0.505" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mh-en\n\n\n* source languages: mh\n* target languages: en\n* OPUS readme: mh-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: 36.5, chr-F: 0.505" ]

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

[]

[]

[ "### opus-mt-mh-es\n\n\n* source languages: mh\n* target languages: es\n* OPUS readme: mh-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: 23.6, chr-F: 0.407" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mh-es\n\n\n* source languages: mh\n* target languages: es\n* OPUS readme: mh-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: 23.6, chr-F: 0.407" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mh-es\n\n\n* source languages: mh\n* target languages: es\n* OPUS readme: mh-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: 23.6, chr-F: 0.407" ]

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

[]

[]

[ "### opus-mt-mh-fi\n\n\n* source languages: mh\n* target languages: fi\n* OPUS readme: mh-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.442" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mh-fi\n\n\n* source languages: mh\n* target languages: fi\n* OPUS readme: mh-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.442" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mh-fi\n\n\n* source languages: mh\n* target languages: fi\n* OPUS readme: mh-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.442" ]

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

[]

[]

[ "### opus-mt-mk-en\n\n\n* source languages: mk\n* target languages: en\n* OPUS readme: mk-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: 59.8, chr-F: 0.720" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mk-en\n\n\n* source languages: mk\n* target languages: en\n* OPUS readme: mk-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: 59.8, chr-F: 0.720" ]

[ 51, 105 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mk-en\n\n\n* source languages: mk\n* target languages: en\n* OPUS readme: mk-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: 59.8, chr-F: 0.720" ]

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

[]

[ "mk", "es" ]

[ "### mkd-spa\n\n\n* source group: Macedonian\n* target group: Spanish\n* OPUS readme: mkd-spa\n* model: transformer-align\n* source language(s): mkd\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.5, chr-F: 0.717", "### System Info:\n\n\n* hf\\_name: mkd-spa\n* source\\_languages: mkd\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mk', 'es']\n* src\\_constituents: {'mkd'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: mkd\n* tgt\\_alpha3: spa\n* short\\_pair: mk-es\n* chrF2\\_score: 0.7170000000000001\n* bleu: 56.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 1121.0\n* src\\_name: Macedonian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: mk\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: mkd-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### mkd-spa\n\n\n* source group: Macedonian\n* target group: Spanish\n* OPUS readme: mkd-spa\n* model: transformer-align\n* source language(s): mkd\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.5, chr-F: 0.717", "### System Info:\n\n\n* hf\\_name: mkd-spa\n* source\\_languages: mkd\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mk', 'es']\n* src\\_constituents: {'mkd'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: mkd\n* tgt\\_alpha3: spa\n* short\\_pair: mk-es\n* chrF2\\_score: 0.7170000000000001\n* bleu: 56.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 1121.0\n* src\\_name: Macedonian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: mk\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: mkd-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 134, 402 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### mkd-spa\n\n\n* source group: Macedonian\n* target group: Spanish\n* OPUS readme: mkd-spa\n* model: transformer-align\n* source language(s): mkd\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.5, chr-F: 0.717### System Info:\n\n\n* hf\\_name: mkd-spa\n* source\\_languages: mkd\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mk', 'es']\n* src\\_constituents: {'mkd'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: mkd\n* tgt\\_alpha3: spa\n* short\\_pair: mk-es\n* chrF2\\_score: 0.7170000000000001\n* bleu: 56.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 1121.0\n* src\\_name: Macedonian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: mk\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: mkd-spa\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", "mk", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-mk-fi\n\n\n* source languages: mk\n* target languages: fi\n* OPUS readme: mk-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: 25.9, chr-F: 0.498" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mk-fi\n\n\n* source languages: mk\n* target languages: fi\n* OPUS readme: mk-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: 25.9, chr-F: 0.498" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mk-fi\n\n\n* source languages: mk\n* target languages: fi\n* OPUS readme: mk-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: 25.9, chr-F: 0.498" ]

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

[]

[]

[ "### opus-mt-mk-fr\n\n\n* source languages: mk\n* target languages: fr\n* OPUS readme: mk-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: 22.3, chr-F: 0.492" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mk-fr\n\n\n* source languages: mk\n* target languages: fr\n* OPUS readme: mk-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: 22.3, chr-F: 0.492" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mk-fr\n\n\n* source languages: mk\n* target languages: fr\n* OPUS readme: mk-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: 22.3, chr-F: 0.492" ]

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

[]

[ "vi", "km", "mkh", "en" ]

[ "### mkh-eng\n\n\n* source group: Mon-Khmer languages\n* target group: English\n* OPUS readme: mkh-eng\n* model: transformer\n* source language(s): kha khm khm\\_Latn mnw vie vie\\_Hani\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: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 8.5, chr-F: 0.206\ntestset: URL, BLEU: 0.7, chr-F: 0.110\ntestset: URL, BLEU: 24.5, chr-F: 0.407\ntestset: URL, BLEU: 34.4, chr-F: 0.529", "### System Info:\n\n\n* hf\\_name: mkh-eng\n* source\\_languages: mkh\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'km', 'mkh', 'en']\n* src\\_constituents: {'vie\\_Hani', 'mnw', 'vie', 'kha', 'khm\\_Latn', 'khm'}\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: mkh\n* tgt\\_alpha3: eng\n* short\\_pair: mkh-en\n* chrF2\\_score: 0.40700000000000003\n* bleu: 24.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 33985.0\n* src\\_name: Mon-Khmer languages\n* tgt\\_name: English\n* train\\_date: 2020-07-27\n* src\\_alpha2: mkh\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mkh-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 #vi #km #mkh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### mkh-eng\n\n\n* source group: Mon-Khmer languages\n* target group: English\n* OPUS readme: mkh-eng\n* model: transformer\n* source language(s): kha khm khm\\_Latn mnw vie vie\\_Hani\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: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 8.5, chr-F: 0.206\ntestset: URL, BLEU: 0.7, chr-F: 0.110\ntestset: URL, BLEU: 24.5, chr-F: 0.407\ntestset: URL, BLEU: 34.4, chr-F: 0.529", "### System Info:\n\n\n* hf\\_name: mkh-eng\n* source\\_languages: mkh\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'km', 'mkh', 'en']\n* src\\_constituents: {'vie\\_Hani', 'mnw', 'vie', 'kha', 'khm\\_Latn', 'khm'}\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: mkh\n* tgt\\_alpha3: eng\n* short\\_pair: mkh-en\n* chrF2\\_score: 0.40700000000000003\n* bleu: 24.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 33985.0\n* src\\_name: Mon-Khmer languages\n* tgt\\_name: English\n* train\\_date: 2020-07-27\n* src\\_alpha2: mkh\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mkh-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 56, 238, 448 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #vi #km #mkh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### mkh-eng\n\n\n* source group: Mon-Khmer languages\n* target group: English\n* OPUS readme: mkh-eng\n* model: transformer\n* source language(s): kha khm khm\\_Latn mnw vie vie\\_Hani\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: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 8.5, chr-F: 0.206\ntestset: URL, BLEU: 0.7, chr-F: 0.110\ntestset: URL, BLEU: 24.5, chr-F: 0.407\ntestset: URL, BLEU: 34.4, chr-F: 0.529### System Info:\n\n\n* hf\\_name: mkh-eng\n* source\\_languages: mkh\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'km', 'mkh', 'en']\n* src\\_constituents: {'vie\\_Hani', 'mnw', 'vie', 'kha', 'khm\\_Latn', 'khm'}\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: mkh\n* tgt\\_alpha3: eng\n* short\\_pair: mkh-en\n* chrF2\\_score: 0.40700000000000003\n* bleu: 24.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 33985.0\n* src\\_name: Mon-Khmer languages\n* tgt\\_name: English\n* train\\_date: 2020-07-27\n* src\\_alpha2: mkh\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mkh-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", "ml", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-ml-en\n\n\n* source languages: ml\n* target languages: en\n* OPUS readme: ml-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: 42.7, chr-F: 0.605" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ml #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ml-en\n\n\n* source languages: ml\n* target languages: en\n* OPUS readme: ml-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: 42.7, chr-F: 0.605" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ml #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ml-en\n\n\n* source languages: ml\n* target languages: en\n* OPUS readme: ml-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: 42.7, chr-F: 0.605" ]

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

[]

[]

[ "### opus-mt-mos-en\n\n\n* source languages: mos\n* target languages: en\n* OPUS readme: mos-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: 26.1, chr-F: 0.408" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mos #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mos-en\n\n\n* source languages: mos\n* target languages: en\n* OPUS readme: mos-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: 26.1, chr-F: 0.408" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mos #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mos-en\n\n\n* source languages: mos\n* target languages: en\n* OPUS readme: mos-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: 26.1, chr-F: 0.408" ]

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

[]

[]

[ "### opus-mt-mr-en\n\n\n* source languages: mr\n* target languages: en\n* OPUS readme: mr-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: 38.2, chr-F: 0.515" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mr-en\n\n\n* source languages: mr\n* target languages: en\n* OPUS readme: mr-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: 38.2, chr-F: 0.515" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mr-en\n\n\n* source languages: mr\n* target languages: en\n* OPUS readme: mr-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: 38.2, chr-F: 0.515" ]

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

[]

[ "ms", "de" ]

[ "### msa-deu\n\n\n* source group: Malay (macrolanguage)\n* target group: German\n* OPUS readme: msa-deu\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): deu\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: 36.5, chr-F: 0.584", "### System Info:\n\n\n* hf\\_name: msa-deu\n* source\\_languages: msa\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'de']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'deu'}\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: msa\n* tgt\\_alpha3: deu\n* short\\_pair: ms-de\n* chrF2\\_score: 0.584\n* bleu: 36.5\n* brevity\\_penalty: 0.966\n* ref\\_len: 4198.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: msa-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-deu\n\n\n* source group: Malay (macrolanguage)\n* target group: German\n* OPUS readme: msa-deu\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): deu\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: 36.5, chr-F: 0.584", "### System Info:\n\n\n* hf\\_name: msa-deu\n* source\\_languages: msa\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'de']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'deu'}\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: msa\n* tgt\\_alpha3: deu\n* short\\_pair: ms-de\n* chrF2\\_score: 0.584\n* bleu: 36.5\n* brevity\\_penalty: 0.966\n* ref\\_len: 4198.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: msa-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 149, 440 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-deu\n\n\n* source group: Malay (macrolanguage)\n* target group: German\n* OPUS readme: msa-deu\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): deu\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: 36.5, chr-F: 0.584### System Info:\n\n\n* hf\\_name: msa-deu\n* source\\_languages: msa\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'de']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'deu'}\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: msa\n* tgt\\_alpha3: deu\n* short\\_pair: ms-de\n* chrF2\\_score: 0.584\n* bleu: 36.5\n* brevity\\_penalty: 0.966\n* ref\\_len: 4198.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: msa-deu\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", "ms", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "ms", "fr" ]

[ "### msa-fra\n\n\n* source group: Malay (macrolanguage)\n* target group: French\n* OPUS readme: msa-fra\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): fra\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: 43.7, chr-F: 0.609", "### System Info:\n\n\n* hf\\_name: msa-fra\n* source\\_languages: msa\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'fr']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'fra'}\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: msa\n* tgt\\_alpha3: fra\n* short\\_pair: ms-fr\n* chrF2\\_score: 0.609\n* bleu: 43.7\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7808.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: msa-fra\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 #ms #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-fra\n\n\n* source group: Malay (macrolanguage)\n* target group: French\n* OPUS readme: msa-fra\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): fra\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: 43.7, chr-F: 0.609", "### System Info:\n\n\n* hf\\_name: msa-fra\n* source\\_languages: msa\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'fr']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'fra'}\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: msa\n* tgt\\_alpha3: fra\n* short\\_pair: ms-fr\n* chrF2\\_score: 0.609\n* bleu: 43.7\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7808.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: msa-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 146, 440 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-fra\n\n\n* source group: Malay (macrolanguage)\n* target group: French\n* OPUS readme: msa-fra\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): fra\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: 43.7, chr-F: 0.609### System Info:\n\n\n* hf\\_name: msa-fra\n* source\\_languages: msa\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'fr']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'fra'}\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: msa\n* tgt\\_alpha3: fra\n* short\\_pair: ms-fr\n* chrF2\\_score: 0.609\n* bleu: 43.7\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7808.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: msa-fra\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", "ms", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "ms", "it" ]

[ "### msa-ita\n\n\n* source group: Malay (macrolanguage)\n* target group: Italian\n* OPUS readme: msa-ita\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.8, chr-F: 0.613", "### System Info:\n\n\n* hf\\_name: msa-ita\n* source\\_languages: msa\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'it']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'ita'}\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: msa\n* tgt\\_alpha3: ita\n* short\\_pair: ms-it\n* chrF2\\_score: 0.613\n* bleu: 37.8\n* brevity\\_penalty: 0.995\n* ref\\_len: 2758.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: msa-ita\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 #ms #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-ita\n\n\n* source group: Malay (macrolanguage)\n* target group: Italian\n* OPUS readme: msa-ita\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.8, chr-F: 0.613", "### System Info:\n\n\n* hf\\_name: msa-ita\n* source\\_languages: msa\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'it']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'ita'}\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: msa\n* tgt\\_alpha3: ita\n* short\\_pair: ms-it\n* chrF2\\_score: 0.613\n* bleu: 37.8\n* brevity\\_penalty: 0.995\n* ref\\_len: 2758.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: msa-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 149, 439 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-ita\n\n\n* source group: Malay (macrolanguage)\n* target group: Italian\n* OPUS readme: msa-ita\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.8, chr-F: 0.613### System Info:\n\n\n* hf\\_name: msa-ita\n* source\\_languages: msa\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'it']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'ita'}\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: msa\n* tgt\\_alpha3: ita\n* short\\_pair: ms-it\n* chrF2\\_score: 0.613\n* bleu: 37.8\n* brevity\\_penalty: 0.995\n* ref\\_len: 2758.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: msa-ita\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", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "ms" ]

[ "### msa-msa\n\n\n* source group: Malay (macrolanguage)\n* target group: Malay (macrolanguage)\n* OPUS readme: msa-msa\n* model: transformer-align\n* source language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* target language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\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: 18.6, chr-F: 0.418", "### System Info:\n\n\n* hf\\_name: msa-msa\n* source\\_languages: msa\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: msa\n* short\\_pair: ms-ms\n* chrF2\\_score: 0.418\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6029.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: msa-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 #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-msa\n\n\n* source group: Malay (macrolanguage)\n* target group: Malay (macrolanguage)\n* OPUS readme: msa-msa\n* model: transformer-align\n* source language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* target language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\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: 18.6, chr-F: 0.418", "### System Info:\n\n\n* hf\\_name: msa-msa\n* source\\_languages: msa\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: msa\n* short\\_pair: ms-ms\n* chrF2\\_score: 0.418\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6029.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: msa-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 49, 216, 472 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-msa\n\n\n* source group: Malay (macrolanguage)\n* target group: Malay (macrolanguage)\n* OPUS readme: msa-msa\n* model: transformer-align\n* source language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* target language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\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: 18.6, chr-F: 0.418### System Info:\n\n\n* hf\\_name: msa-msa\n* source\\_languages: msa\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: msa\n* short\\_pair: ms-ms\n* chrF2\\_score: 0.418\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6029.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: msa-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", "jax", "marian", "text2text-generation", "translation", "mt", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-mt-en\n\n\n* source languages: mt\n* target languages: en\n* OPUS readme: mt-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: 49.0, chr-F: 0.655\ntestset: URL, BLEU: 53.3, chr-F: 0.685" ]

[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #mt #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-en\n\n\n* source languages: mt\n* target languages: en\n* OPUS readme: mt-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: 49.0, chr-F: 0.655\ntestset: URL, BLEU: 53.3, chr-F: 0.685" ]

[ 53, 129 ]

[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #mt #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-en\n\n\n* source languages: mt\n* target languages: en\n* OPUS readme: mt-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: 49.0, chr-F: 0.655\ntestset: URL, BLEU: 53.3, chr-F: 0.685" ]

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

[]

[]

[ "### opus-mt-mt-es\n\n\n* source languages: mt\n* target languages: es\n* OPUS readme: mt-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.471" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-es\n\n\n* source languages: mt\n* target languages: es\n* OPUS readme: mt-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.471" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-es\n\n\n* source languages: mt\n* target languages: es\n* OPUS readme: mt-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.471" ]

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

[]

[]

[ "### opus-mt-mt-fi\n\n\n* source languages: mt\n* target languages: fi\n* OPUS readme: mt-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: 24.9, chr-F: 0.509" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-fi\n\n\n* source languages: mt\n* target languages: fi\n* OPUS readme: mt-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: 24.9, chr-F: 0.509" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-fi\n\n\n* source languages: mt\n* target languages: fi\n* OPUS readme: mt-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: 24.9, chr-F: 0.509" ]

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

[]

[]

[ "### opus-mt-mt-fr\n\n\n* source languages: mt\n* target languages: fr\n* OPUS readme: mt-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: 27.2, chr-F: 0.475" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-fr\n\n\n* source languages: mt\n* target languages: fr\n* OPUS readme: mt-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: 27.2, chr-F: 0.475" ]

[ 51, 105 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-fr\n\n\n* source languages: mt\n* target languages: fr\n* OPUS readme: mt-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: 27.2, chr-F: 0.475" ]

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

[]

[]

[ "### opus-mt-mt-sv\n\n\n* source languages: mt\n* target languages: sv\n* OPUS readme: mt-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: 30.4, chr-F: 0.514" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-sv\n\n\n* source languages: mt\n* target languages: sv\n* OPUS readme: mt-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: 30.4, chr-F: 0.514" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-sv\n\n\n* source languages: mt\n* target languages: sv\n* OPUS readme: mt-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: 30.4, chr-F: 0.514" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "es", "os", "eo", "ro", "fy", "cy", "is", "lb", "su", "an", "sq", "fr", "ht", "rm", "cv", "ig", "am", "eu", "tr", "ps", "af", "ny", "ch", "uk", "sl", "lt", "tk", "sg", "ar", "lg", "bg", "be", "ka", "gd", "ja", "si", "br", "mh", "km", "th", "ty", "rw", "te", "mk", "or", "wo", "kl", "mr", "ru", "yo", "hu", "fo", "zh", "ti", "co", "ee", "oc", "sn", "mt", "ts", "pl", "gl", "nb", "bn", "tt", "bo", "lo", "id", "gn", "nv", "hy", "kn", "to", "io", "so", "vi", "da", "fj", "gv", "sm", "nl", "mi", "pt", "hi", "se", "as", "ta", "et", "kw", "ga", "sv", "ln", "na", "mn", "gu", "wa", "lv", "jv", "el", "my", "ba", "it", "hr", "ur", "ce", "nn", "fi", "mg", "rn", "xh", "ab", "de", "cs", "he", "zu", "yi", "ml", "mul", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "ca", "es", "os", "eo", "ro", "fy", "cy", "is", "lb", "su", "an", "sq", "fr", "ht", "rm", "cv", "ig", "am", "eu", "tr", "ps", "af", "ny", "ch", "uk", "sl", "lt", "tk", "sg", "ar", "lg", "bg", "be", "ka", "gd", "ja", "si", "br", "mh", "km", "th", "ty", "rw", "te", "mk", "or", "wo", "kl", "mr", "ru", "yo", "hu", "fo", "zh", "ti", "co", "ee", "oc", "sn", "mt", "ts", "pl", "gl", "nb", "bn", "tt", "bo", "lo", "id", "gn", "nv", "hy", "kn", "to", "io", "so", "vi", "da", "fj", "gv", "sm", "nl", "mi", "pt", "hi", "se", "as", "ta", "et", "kw", "ga", "sv", "ln", "na", "mn", "gu", "wa", "lv", "jv", "el", "my", "ba", "it", "hr", "ur", "ce", "nn", "fi", "mg", "rn", "xh", "ab", "de", "cs", "he", "zu", "yi", "ml", "mul", "en" ]

[ "### mul-eng\n\n\n* source group: Multiple languages\n* target group: English\n* OPUS readme: mul-eng\n* model: transformer\n* source language(s): abk acm ady afb afh\\_Latn afr akl\\_Latn aln amh ang\\_Latn apc ara arg arq ary arz asm ast avk\\_Latn awa aze\\_Latn bak bam\\_Latn bel bel\\_Latn ben bho bod bos\\_Latn bre brx brx\\_Latn bul bul\\_Latn cat ceb ces cha che chr chv cjy\\_Hans cjy\\_Hant cmn cmn\\_Hans cmn\\_Hant cor cos crh crh\\_Latn csb\\_Latn cym dan deu dsb dtp dws\\_Latn egl ell enm\\_Latn epo est eus ewe ext fao fij fin fkv\\_Latn fra frm\\_Latn frr fry fuc fuv gan gcf\\_Latn gil gla gle glg glv gom gos got\\_Goth grc\\_Grek grn gsw guj hat hau\\_Latn haw heb hif\\_Latn hil hin hnj\\_Latn hoc hoc\\_Latn hrv hsb hun hye iba ibo ido ido\\_Latn ike\\_Latn ile\\_Latn ilo ina\\_Latn ind isl ita izh jav jav\\_Java jbo jbo\\_Cyrl jbo\\_Latn jdt\\_Cyrl jpn kab kal kan kat kaz\\_Cyrl kaz\\_Latn kek\\_Latn kha khm khm\\_Latn kin kir\\_Cyrl kjh kpv krl ksh kum kur\\_Arab kur\\_Latn lad lad\\_Latn lao lat\\_Latn lav ldn\\_Latn lfn\\_Cyrl lfn\\_Latn lij lin lit liv\\_Latn lkt lld\\_Latn lmo ltg ltz lug lzh lzh\\_Hans mad mah mai mal mar max\\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\\_Hebr nog non\\_Latn nov\\_Latn npi nya oci ori orv\\_Cyrl oss ota\\_Arab ota\\_Latn pag pan\\_Guru pap pau pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por ppl\\_Latn prg\\_Latn pus quc qya qya\\_Latn rap rif\\_Latn roh rom ron rue run rus sag sah san\\_Deva scn sco sgs shs\\_Latn shy\\_Latn sin sjn\\_Latn slv sma sme smo sna snd\\_Arab som spa sqi srp\\_Cyrl srp\\_Latn stq sun swe swg swh tah tam tat tat\\_Arab tat\\_Latn tel tet tgk\\_Cyrl tha tir tlh\\_Latn tly\\_Latn tmw\\_Latn toi\\_Latn ton tpw\\_Latn tso tuk tuk\\_Latn tur tvl tyv tzl tzl\\_Latn udm uig\\_Arab uig\\_Cyrl ukr umb urd uzb\\_Cyrl uzb\\_Latn vec vie vie\\_Hani vol\\_Latn vro war wln wol wuu xal xho yid yor yue yue\\_Hans yue\\_Hant zho zho\\_Hans zho\\_Hant zlm\\_Latn zsm\\_Latn zul zza\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: 8.5, chr-F: 0.341\ntestset: URL, BLEU: 16.8, chr-F: 0.441\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 16.4, chr-F: 0.422\ntestset: URL, BLEU: 21.3, chr-F: 0.502\ntestset: URL, BLEU: 12.7, chr-F: 0.409\ntestset: URL, BLEU: 19.8, chr-F: 0.467\ntestset: URL, BLEU: 13.3, chr-F: 0.385\ntestset: URL, BLEU: 19.9, chr-F: 0.482\ntestset: URL, BLEU: 26.7, chr-F: 0.520\ntestset: URL, BLEU: 29.8, chr-F: 0.541\ntestset: URL, BLEU: 21.1, chr-F: 0.487\ntestset: URL, BLEU: 22.6, chr-F: 0.499\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 15.1, chr-F: 0.430\ntestset: URL, BLEU: 29.4, chr-F: 0.555\ntestset: URL, BLEU: 26.1, chr-F: 0.534\ntestset: URL, BLEU: 21.6, chr-F: 0.491\ntestset: URL, BLEU: 22.3, chr-F: 0.502\ntestset: URL, BLEU: 23.6, chr-F: 0.514\ntestset: URL, BLEU: 19.8, chr-F: 0.480\ntestset: URL, BLEU: 20.9, chr-F: 0.487\ntestset: URL, BLEU: 25.0, chr-F: 0.523\ntestset: URL, BLEU: 14.7, chr-F: 0.425\ntestset: URL, BLEU: 27.6, chr-F: 0.542\ntestset: URL, BLEU: 25.7, chr-F: 0.530\ntestset: URL, BLEU: 20.6, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.517\ntestset: URL, BLEU: 26.1, chr-F: 0.537\ntestset: URL, BLEU: 29.1, chr-F: 0.561\ntestset: URL, BLEU: 21.0, chr-F: 0.489\ntestset: URL, BLEU: 21.3, chr-F: 0.494\ntestset: URL, BLEU: 26.8, chr-F: 0.546\ntestset: URL, BLEU: 28.2, chr-F: 0.549\ntestset: URL, BLEU: 20.5, chr-F: 0.485\ntestset: URL, BLEU: 22.3, chr-F: 0.503\ntestset: URL, BLEU: 27.5, chr-F: 0.545\ntestset: URL, BLEU: 26.6, chr-F: 0.532\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 22.5, chr-F: 0.498\ntestset: URL, BLEU: 25.0, chr-F: 0.518\ntestset: URL, BLEU: 27.4, chr-F: 0.537\ntestset: URL, BLEU: 21.6, chr-F: 0.484\ntestset: URL, BLEU: 28.4, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.517\ntestset: URL, BLEU: 24.1, chr-F: 0.511\ntestset: URL, BLEU: 29.1, chr-F: 0.563\ntestset: URL, BLEU: 14.0, chr-F: 0.414\ntestset: URL, BLEU: 24.0, chr-F: 0.521\ntestset: URL, BLEU: 21.9, chr-F: 0.481\ntestset: URL, BLEU: 25.5, chr-F: 0.519\ntestset: URL, BLEU: 17.4, chr-F: 0.441\ntestset: URL, BLEU: 22.4, chr-F: 0.494\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 30.1, chr-F: 0.560\ntestset: URL, BLEU: 18.5, chr-F: 0.461\ntestset: URL, BLEU: 29.6, chr-F: 0.562\ntestset: URL, BLEU: 22.0, chr-F: 0.495\ntestset: URL, BLEU: 14.8, chr-F: 0.415\ntestset: URL, BLEU: 20.2, chr-F: 0.475\ntestset: URL, BLEU: 26.0, chr-F: 0.523\ntestset: URL, BLEU: 19.6, chr-F: 0.465\ntestset: URL, BLEU: 16.2, chr-F: 0.454\ntestset: URL, BLEU: 24.2, chr-F: 0.510\ntestset: URL, BLEU: 15.0, chr-F: 0.412\ntestset: URL, BLEU: 13.7, chr-F: 0.412\ntestset: URL, BLEU: 21.2, chr-F: 0.486\ntestset: URL, BLEU: 31.5, chr-F: 0.564\ntestset: URL, BLEU: 19.7, chr-F: 0.473\ntestset: URL, BLEU: 15.1, chr-F: 0.418\ntestset: URL, BLEU: 21.3, chr-F: 0.490\ntestset: URL, BLEU: 15.4, chr-F: 0.421\ntestset: URL, BLEU: 12.9, chr-F: 0.408\ntestset: URL, BLEU: 27.0, chr-F: 0.529\ntestset: URL, BLEU: 17.2, chr-F: 0.438\ntestset: URL, BLEU: 9.0, chr-F: 0.342\ntestset: URL, BLEU: 22.6, chr-F: 0.512\ntestset: URL, BLEU: 24.1, chr-F: 0.503\ntestset: URL, BLEU: 13.9, chr-F: 0.427\ntestset: URL, BLEU: 15.2, chr-F: 0.428\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 2.4, chr-F: 0.190\ntestset: URL, BLEU: 1.1, chr-F: 0.111\ntestset: URL, BLEU: 1.7, chr-F: 0.108\ntestset: URL, BLEU: 53.0, chr-F: 0.672\ntestset: URL, BLEU: 5.9, chr-F: 0.239\ntestset: URL, BLEU: 25.6, chr-F: 0.464\ntestset: URL, BLEU: 11.7, chr-F: 0.289\ntestset: URL, BLEU: 26.4, chr-F: 0.443\ntestset: URL, BLEU: 35.9, chr-F: 0.473\ntestset: URL, BLEU: 19.8, chr-F: 0.365\ntestset: URL, BLEU: 31.8, chr-F: 0.467\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 9.7, chr-F: 0.271\ntestset: URL, BLEU: 37.0, chr-F: 0.542\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.2, chr-F: 0.094\ntestset: URL, BLEU: 36.8, chr-F: 0.549\ntestset: URL, BLEU: 39.7, chr-F: 0.546\ntestset: URL, BLEU: 33.6, chr-F: 0.540\ntestset: URL, BLEU: 1.1, chr-F: 0.147\ntestset: URL, BLEU: 14.2, chr-F: 0.303\ntestset: URL, BLEU: 1.7, chr-F: 0.130\ntestset: URL, BLEU: 46.0, chr-F: 0.621\ntestset: URL, BLEU: 46.6, chr-F: 0.636\ntestset: URL, BLEU: 17.4, chr-F: 0.347\ntestset: URL, BLEU: 41.3, chr-F: 0.586\ntestset: URL, BLEU: 7.9, chr-F: 0.232\ntestset: URL, BLEU: 0.7, chr-F: 0.104\ntestset: URL, BLEU: 7.3, chr-F: 0.261\ntestset: URL, BLEU: 8.8, chr-F: 0.244\ntestset: URL, BLEU: 11.0, chr-F: 0.319\ntestset: URL, BLEU: 5.4, chr-F: 0.204\ntestset: URL, BLEU: 58.2, chr-F: 0.643\ntestset: URL, BLEU: 26.3, chr-F: 0.399\ntestset: URL, BLEU: 18.8, chr-F: 0.389\ntestset: URL, BLEU: 23.4, chr-F: 0.407\ntestset: URL, BLEU: 50.5, chr-F: 0.659\ntestset: URL, BLEU: 39.6, chr-F: 0.579\ntestset: URL, BLEU: 24.3, chr-F: 0.449\ntestset: URL, BLEU: 1.0, chr-F: 0.149\ntestset: URL, BLEU: 1.6, chr-F: 0.061\ntestset: URL, BLEU: 7.6, chr-F: 0.236\ntestset: URL, BLEU: 55.4, chr-F: 0.682\ntestset: URL, BLEU: 28.0, chr-F: 0.489\ntestset: URL, BLEU: 41.8, chr-F: 0.591\ntestset: URL, BLEU: 41.5, chr-F: 0.581\ntestset: URL, BLEU: 37.8, chr-F: 0.557\ntestset: URL, BLEU: 10.7, chr-F: 0.262\ntestset: URL, BLEU: 25.5, chr-F: 0.405\ntestset: URL, BLEU: 28.7, chr-F: 0.469\ntestset: URL, BLEU: 7.5, chr-F: 0.281\ntestset: URL, BLEU: 24.2, chr-F: 0.320\ntestset: URL, BLEU: 35.8, chr-F: 0.534\ntestset: URL, BLEU: 15.5, chr-F: 0.434\ntestset: URL, BLEU: 45.1, chr-F: 0.618\ntestset: URL, BLEU: 29.6, chr-F: 0.427\ntestset: URL, BLEU: 5.5, chr-F: 0.138\ntestset: URL, BLEU: 25.3, chr-F: 0.455\ntestset: URL, BLEU: 1.1, chr-F: 0.127\ntestset: URL, BLEU: 16.0, chr-F: 0.315\ntestset: URL, BLEU: 46.7, chr-F: 0.587\ntestset: URL, BLEU: 20.2, chr-F: 0.358\ntestset: URL, BLEU: 43.9, chr-F: 0.592\ntestset: URL, BLEU: 45.1, chr-F: 0.623\ntestset: URL, BLEU: 3.3, chr-F: 0.119\ntestset: URL, BLEU: 20.1, chr-F: 0.364\ntestset: URL, BLEU: 0.1, chr-F: 0.041\ntestset: URL, BLEU: 2.1, chr-F: 0.137\ntestset: URL, BLEU: 1.7, chr-F: 0.152\ntestset: URL, BLEU: 18.2, chr-F: 0.334\ntestset: URL, BLEU: 21.7, chr-F: 0.373\ntestset: URL, BLEU: 34.5, chr-F: 0.502\ntestset: URL, BLEU: 10.5, chr-F: 0.295\ntestset: URL, BLEU: 2.8, chr-F: 0.160\ntestset: URL, BLEU: 46.7, chr-F: 0.623\ntestset: URL, BLEU: 33.0, chr-F: 0.492\ntestset: URL, BLEU: 17.0, chr-F: 0.391\ntestset: URL, BLEU: 16.0, chr-F: 0.339\ntestset: URL, BLEU: 36.4, chr-F: 0.533\ntestset: URL, BLEU: 0.4, chr-F: 0.131\ntestset: URL, BLEU: 0.7, chr-F: 0.132\ntestset: URL, BLEU: 41.9, chr-F: 0.551\ntestset: URL, BLEU: 33.2, chr-F: 0.510\ntestset: URL, BLEU: 32.2, chr-F: 0.487\ntestset: URL, BLEU: 9.4, chr-F: 0.278\ntestset: URL, BLEU: 5.8, chr-F: 0.200\ntestset: URL, BLEU: 31.7, chr-F: 0.503\ntestset: URL, BLEU: 9.1, chr-F: 0.164\ntestset: URL, BLEU: 42.2, chr-F: 0.595\ntestset: URL, BLEU: 29.7, chr-F: 0.485\ntestset: URL, BLEU: 42.1, chr-F: 0.607\ntestset: URL, BLEU: 35.7, chr-F: 0.527\ntestset: URL, BLEU: 54.8, chr-F: 0.686\ntestset: URL, BLEU: 28.3, chr-F: 0.526\ntestset: URL, BLEU: 10.0, chr-F: 0.282\ntestset: URL, BLEU: 0.3, chr-F: 0.115\ntestset: URL, BLEU: 5.3, chr-F: 0.140\ntestset: URL, BLEU: 18.8, chr-F: 0.387\ntestset: URL, BLEU: 3.9, chr-F: 0.205\ntestset: URL, BLEU: 16.9, chr-F: 0.329\ntestset: URL, BLEU: 16.2, chr-F: 0.374\ntestset: URL, BLEU: 31.1, chr-F: 0.493\ntestset: URL, BLEU: 24.5, chr-F: 0.437\ntestset: URL, BLEU: 7.4, chr-F: 0.192\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 12.2, chr-F: 0.290\ntestset: URL, BLEU: 22.5, chr-F: 0.355\ntestset: URL, BLEU: 27.2, chr-F: 0.470\ntestset: URL, BLEU: 2.1, chr-F: 0.129\ntestset: URL, BLEU: 4.5, chr-F: 0.259\ntestset: URL, BLEU: 1.4, chr-F: 0.099\ntestset: URL, BLEU: 26.1, chr-F: 0.387\ntestset: URL, BLEU: 5.5, chr-F: 0.256\ntestset: URL, BLEU: 9.3, chr-F: 0.288\ntestset: URL, BLEU: 9.6, chr-F: 0.208\ntestset: URL, BLEU: 30.1, chr-F: 0.475\ntestset: URL, BLEU: 11.6, chr-F: 0.284\ntestset: URL, BLEU: 4.5, chr-F: 0.214\ntestset: URL, BLEU: 21.5, chr-F: 0.402\ntestset: URL, BLEU: 40.2, chr-F: 0.577\ntestset: URL, BLEU: 0.8, chr-F: 0.115\ntestset: URL, BLEU: 23.0, chr-F: 0.433\ntestset: URL, BLEU: 9.3, chr-F: 0.287\ntestset: URL, BLEU: 2.4, chr-F: 0.196\ntestset: URL, BLEU: 44.0, chr-F: 0.597\ntestset: URL, BLEU: 1.6, chr-F: 0.115\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 18.3, chr-F: 0.312\ntestset: URL, BLEU: 25.4, chr-F: 0.395\ntestset: URL, BLEU: 35.9, chr-F: 0.509\ntestset: URL, BLEU: 5.1, chr-F: 0.357\ntestset: URL, BLEU: 2.8, chr-F: 0.123\ntestset: URL, BLEU: 5.7, chr-F: 0.175\ntestset: URL, BLEU: 56.3, chr-F: 0.703\ntestset: URL, BLEU: 37.5, chr-F: 0.534\ntestset: URL, BLEU: 22.8, chr-F: 0.470\ntestset: URL, BLEU: 2.0, chr-F: 0.110\ntestset: URL, BLEU: 59.2, chr-F: 0.764\ntestset: URL, BLEU: 9.0, chr-F: 0.199\ntestset: URL, BLEU: 44.3, chr-F: 0.593\ntestset: URL, BLEU: 31.9, chr-F: 0.424\ntestset: URL, BLEU: 38.6, chr-F: 0.540\ntestset: URL, BLEU: 2.5, chr-F: 0.101\ntestset: URL, BLEU: 0.3, chr-F: 0.110\ntestset: URL, BLEU: 13.5, chr-F: 0.334\ntestset: URL, BLEU: 8.5, chr-F: 0.260\ntestset: URL, BLEU: 33.9, chr-F: 0.520\ntestset: URL, BLEU: 34.7, chr-F: 0.518\ntestset: URL, BLEU: 37.4, chr-F: 0.630\ntestset: URL, BLEU: 15.5, chr-F: 0.335\ntestset: URL, BLEU: 0.8, chr-F: 0.118\ntestset: URL, BLEU: 9.0, chr-F: 0.186\ntestset: URL, BLEU: 1.3, chr-F: 0.144\ntestset: URL, BLEU: 30.7, chr-F: 0.495\ntestset: URL, BLEU: 3.5, chr-F: 0.168\ntestset: URL, BLEU: 42.7, chr-F: 0.492\ntestset: URL, BLEU: 47.9, chr-F: 0.640\ntestset: URL, BLEU: 12.7, chr-F: 0.284\ntestset: URL, BLEU: 43.8, chr-F: 0.586\ntestset: URL, BLEU: 45.5, chr-F: 0.619\ntestset: URL, BLEU: 26.9, chr-F: 0.472\ntestset: URL, BLEU: 33.2, chr-F: 0.456\ntestset: URL, BLEU: 17.9, chr-F: 0.370\ntestset: URL, BLEU: 14.6, chr-F: 0.305\ntestset: URL, BLEU: 11.0, chr-F: 0.283\ntestset: URL, BLEU: 4.1, chr-F: 0.211\ntestset: URL, BLEU: 4.1, chr-F: 0.216\ntestset: URL, BLEU: 24.3, chr-F: 0.468\ntestset: URL, BLEU: 16.4, chr-F: 0.358\ntestset: URL, BLEU: 53.2, chr-F: 0.628\ntestset: URL, BLEU: 3.7, chr-F: 0.173\ntestset: URL, BLEU: 45.3, chr-F: 0.569\ntestset: URL, BLEU: 14.0, chr-F: 0.345\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 51.4, chr-F: 0.669\ntestset: URL, BLEU: 0.4, chr-F: 0.134\ntestset: URL, BLEU: 4.1, chr-F: 0.198\ntestset: URL, BLEU: 6.7, chr-F: 0.233\ntestset: URL, BLEU: 3.5, chr-F: 0.091\ntestset: URL, BLEU: 0.2, chr-F: 0.090\ntestset: URL, BLEU: 17.5, chr-F: 0.230\ntestset: URL, BLEU: 4.2, chr-F: 0.164\ntestset: URL, BLEU: 24.6, chr-F: 0.464\ntestset: URL, BLEU: 3.4, chr-F: 0.212\ntestset: URL, BLEU: 45.2, chr-F: 0.620\ntestset: URL, BLEU: 21.4, chr-F: 0.390\ntestset: URL, BLEU: 24.5, chr-F: 0.392\ntestset: URL, BLEU: 42.7, chr-F: 0.591\ntestset: URL, BLEU: 3.4, chr-F: 0.187\ntestset: URL, BLEU: 5.0, chr-F: 0.177\ntestset: URL, BLEU: 2.0, chr-F: 0.172\ntestset: URL, BLEU: 35.8, chr-F: 0.410\ntestset: URL, BLEU: 34.6, chr-F: 0.520\ntestset: URL, BLEU: 21.8, chr-F: 0.299\ntestset: URL, BLEU: 1.8, chr-F: 0.122\ntestset: URL, BLEU: 1.4, chr-F: 0.104\ntestset: URL, BLEU: 20.6, chr-F: 0.429\ntestset: URL, BLEU: 1.2, chr-F: 0.095\ntestset: URL, BLEU: 37.0, chr-F: 0.545\ntestset: URL, BLEU: 4.4, chr-F: 0.147\ntestset: URL, BLEU: 8.9, chr-F: 0.229\ntestset: URL, BLEU: 37.7, chr-F: 0.483\ntestset: URL, BLEU: 18.0, chr-F: 0.359\ntestset: URL, BLEU: 28.1, chr-F: 0.444\ntestset: URL, BLEU: 23.6, chr-F: 0.472\ntestset: URL, BLEU: 47.9, chr-F: 0.645\ntestset: URL, BLEU: 46.9, chr-F: 0.634\ntestset: URL, BLEU: 8.1, chr-F: 0.379\ntestset: URL, BLEU: 23.8, chr-F: 0.369\ntestset: URL, BLEU: 6.5, chr-F: 0.193\ntestset: URL, BLEU: 51.4, chr-F: 0.655\ntestset: URL, BLEU: 18.5, chr-F: 0.342\ntestset: URL, BLEU: 25.6, chr-F: 0.249\ntestset: URL, BLEU: 29.1, chr-F: 0.437\ntestset: URL, BLEU: 12.9, chr-F: 0.327\ntestset: URL, BLEU: 21.2, chr-F: 0.386\ntestset: URL, BLEU: 9.2, chr-F: 0.215\ntestset: URL, BLEU: 12.7, chr-F: 0.374\ntestset: URL, BLEU: 36.3, chr-F: 0.531\ntestset: URL, BLEU: 9.1, chr-F: 0.267\ntestset: URL, BLEU: 0.2, chr-F: 0.084\ntestset: URL, BLEU: 2.1, chr-F: 0.128\ntestset: URL, BLEU: 5.3, chr-F: 0.150\ntestset: URL, BLEU: 39.5, chr-F: 0.473\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 44.7, chr-F: 0.526\ntestset: URL, BLEU: 18.6, chr-F: 0.401\ntestset: URL, BLEU: 40.5, chr-F: 0.573\ntestset: URL, BLEU: 55.0, chr-F: 0.593\ntestset: URL, BLEU: 19.1, chr-F: 0.477\ntestset: URL, BLEU: 17.7, chr-F: 0.333\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 11.4, chr-F: 0.289\ntestset: URL, BLEU: 43.1, chr-F: 0.595\ntestset: URL, BLEU: 9.2, chr-F: 0.260\ntestset: URL, BLEU: 23.2, chr-F: 0.426\ntestset: URL, BLEU: 19.0, chr-F: 0.342\ntestset: URL, BLEU: 41.1, chr-F: 0.409\ntestset: URL, BLEU: 30.6, chr-F: 0.481\ntestset: URL, BLEU: 1.8, chr-F: 0.143\ntestset: URL, BLEU: 15.9, chr-F: 0.352\ntestset: URL, BLEU: 12.6, chr-F: 0.291\ntestset: URL, BLEU: 4.4, chr-F: 0.138\ntestset: URL, BLEU: 0.9, chr-F: 0.153\ntestset: URL, BLEU: 35.4, chr-F: 0.513\ntestset: URL, BLEU: 19.4, chr-F: 0.387\ntestset: URL, BLEU: 19.3, chr-F: 0.327\ntestset: URL, BLEU: 25.8, chr-F: 0.448\ntestset: URL, BLEU: 40.9, chr-F: 0.567\ntestset: URL, BLEU: 1.6, chr-F: 0.125", "### System Info:\n\n\n* hf\\_name: mul-eng\n* source\\_languages: mul\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en']\n* src\\_constituents: {'sjn\\_Latn', 'cat', 'nan', 'spa', 'ile\\_Latn', 'pap', 'mwl', 'uzb\\_Latn', 'mww', 'hil', 'lij', 'avk\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'bos\\_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi\\_Latn', 'awa', 'swg', 'zsm\\_Latn', 'zho\\_Hant', 'gcf\\_Latn', 'uzb\\_Cyrl', 'isl', 'lfn\\_Latn', 'shs\\_Latn', 'nov\\_Latn', 'bho', 'ltz', 'lzh', 'kur\\_Latn', 'sun', 'arg', 'pes\\_Thaa', 'sqi', 'uig\\_Arab', 'csb\\_Latn', 'fra', 'hat', 'liv\\_Latn', 'non\\_Latn', 'sco', 'cmn\\_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul\\_Latn', 'amh', 'lfn\\_Cyrl', 'eus', 'fkv\\_Latn', 'tur', 'pus', 'afr', 'brx\\_Latn', 'nya', 'acm', 'ota\\_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho\\_Hans', 'tmw\\_Latn', 'kjh', 'ota\\_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh\\_Hans', 'ara', 'tly\\_Latn', 'lug', 'brx', 'bul', 'bel', 'vol\\_Latn', 'kat', 'gan', 'got\\_Goth', 'vro', 'ext', 'afh\\_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif\\_Latn', 'cjy\\_Hant', 'bre', 'ceb', 'mah', 'nob\\_Hebr', 'crh\\_Latn', 'prg\\_Latn', 'khm', 'ang\\_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze\\_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie\\_Hani', 'arz', 'yue', 'kha', 'san\\_Deva', 'jbo\\_Latn', 'gos', 'hau\\_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig\\_Cyrl', 'fao', 'mnw', 'zho', 'orv\\_Cyrl', 'iba', 'bel\\_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc\\_Grek', 'tpw\\_Latn', 'oci', 'mfe', 'sna', 'kir\\_Cyrl', 'tat\\_Latn', 'gom', 'ido\\_Latn', 'sgs', 'pau', 'tgk\\_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp\\_Latn', 'wuu', 'dtp', 'jbo\\_Cyrl', 'tet', 'bod', 'yue\\_Hans', 'zlm\\_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz\\_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif\\_Latn', 'vie', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina\\_Latn', 'cjy\\_Hans', 'jdt\\_Cyrl', 'gsw', 'glv', 'khm\\_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd\\_Arab', 'arq', 'mri', 'kur\\_Arab', 'por', 'hin', 'shy\\_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue\\_Hant', 'kpv', 'tam', 'est', 'frm\\_Latn', 'hoc\\_Latn', 'bam\\_Latn', 'kek\\_Latn', 'ksh', 'tlh\\_Latn', 'ltg', 'pan\\_Guru', 'hnj\\_Latn', 'cor', 'gle', 'swe', 'lin', 'qya\\_Latn', 'kum', 'mad', 'cmn\\_Hant', 'fuv', 'nau', 'mon', 'akl\\_Latn', 'guj', 'kaz\\_Latn', 'wln', 'tuk\\_Latn', 'jav\\_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws\\_Latn', 'urd', 'stq', 'tat\\_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl\\_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld\\_Latn', 'tzl\\_Latn', 'mdf', 'ike\\_Latn', 'ces', 'ldn\\_Latn', 'egl', 'heb', 'vec', 'zul', 'max\\_Latn', 'pes\\_Latn', 'yid', 'mal', 'nds'}\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: mul\n* tgt\\_alpha3: eng\n* short\\_pair: mul-en\n* chrF2\\_score: 0.518\n* bleu: 34.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 72346.0\n* src\\_name: Multiple languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: mul\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mul-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 #ca #es #os #eo #ro #fy #cy #is #lb #su #an #sq #fr #ht #rm #cv #ig #am #eu #tr #ps #af #ny #ch #uk #sl #lt #tk #sg #ar #lg #bg #be #ka #gd #ja #si #br #mh #km #th #ty #rw #te #mk #or #wo #kl #mr #ru #yo #hu #fo #zh #ti #co #ee #oc #sn #mt #ts #pl #gl #nb #bn #tt #bo #lo #id #gn #nv #hy #kn #to #io #so #vi #da #fj #gv #sm #nl #mi #pt #hi #se #as #ta #et #kw #ga #sv #ln #na #mn #gu #wa #lv #jv #el #my #ba #it #hr #ur #ce #nn #fi #mg #rn #xh #ab #de #cs #he #zu #yi #ml #mul #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### mul-eng\n\n\n* source group: Multiple languages\n* target group: English\n* OPUS readme: mul-eng\n* model: transformer\n* source language(s): abk acm ady afb afh\\_Latn afr akl\\_Latn aln amh ang\\_Latn apc ara arg arq ary arz asm ast avk\\_Latn awa aze\\_Latn bak bam\\_Latn bel bel\\_Latn ben bho bod bos\\_Latn bre brx brx\\_Latn bul bul\\_Latn cat ceb ces cha che chr chv cjy\\_Hans cjy\\_Hant cmn cmn\\_Hans cmn\\_Hant cor cos crh crh\\_Latn csb\\_Latn cym dan deu dsb dtp dws\\_Latn egl ell enm\\_Latn epo est eus ewe ext fao fij fin fkv\\_Latn fra frm\\_Latn frr fry fuc fuv gan gcf\\_Latn gil gla gle glg glv gom gos got\\_Goth grc\\_Grek grn gsw guj hat hau\\_Latn haw heb hif\\_Latn hil hin hnj\\_Latn hoc hoc\\_Latn hrv hsb hun hye iba ibo ido ido\\_Latn ike\\_Latn ile\\_Latn ilo ina\\_Latn ind isl ita izh jav jav\\_Java jbo jbo\\_Cyrl jbo\\_Latn jdt\\_Cyrl jpn kab kal kan kat kaz\\_Cyrl kaz\\_Latn kek\\_Latn kha khm khm\\_Latn kin kir\\_Cyrl kjh kpv krl ksh kum kur\\_Arab kur\\_Latn lad lad\\_Latn lao lat\\_Latn lav ldn\\_Latn lfn\\_Cyrl lfn\\_Latn lij lin lit liv\\_Latn lkt lld\\_Latn lmo ltg ltz lug lzh lzh\\_Hans mad mah mai mal mar max\\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\\_Hebr nog non\\_Latn nov\\_Latn npi nya oci ori orv\\_Cyrl oss ota\\_Arab ota\\_Latn pag pan\\_Guru pap pau pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por ppl\\_Latn prg\\_Latn pus quc qya qya\\_Latn rap rif\\_Latn roh rom ron rue run rus sag sah san\\_Deva scn sco sgs shs\\_Latn shy\\_Latn sin sjn\\_Latn slv sma sme smo sna snd\\_Arab som spa sqi srp\\_Cyrl srp\\_Latn stq sun swe swg swh tah tam tat tat\\_Arab tat\\_Latn tel tet tgk\\_Cyrl tha tir tlh\\_Latn tly\\_Latn tmw\\_Latn toi\\_Latn ton tpw\\_Latn tso tuk tuk\\_Latn tur tvl tyv tzl tzl\\_Latn udm uig\\_Arab uig\\_Cyrl ukr umb urd uzb\\_Cyrl uzb\\_Latn vec vie vie\\_Hani vol\\_Latn vro war wln wol wuu xal xho yid yor yue yue\\_Hans yue\\_Hant zho zho\\_Hans zho\\_Hant zlm\\_Latn zsm\\_Latn zul zza\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: 8.5, chr-F: 0.341\ntestset: URL, BLEU: 16.8, chr-F: 0.441\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 16.4, chr-F: 0.422\ntestset: URL, BLEU: 21.3, chr-F: 0.502\ntestset: URL, BLEU: 12.7, chr-F: 0.409\ntestset: URL, BLEU: 19.8, chr-F: 0.467\ntestset: URL, BLEU: 13.3, chr-F: 0.385\ntestset: URL, BLEU: 19.9, chr-F: 0.482\ntestset: URL, BLEU: 26.7, chr-F: 0.520\ntestset: URL, BLEU: 29.8, chr-F: 0.541\ntestset: URL, BLEU: 21.1, chr-F: 0.487\ntestset: URL, BLEU: 22.6, chr-F: 0.499\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 15.1, chr-F: 0.430\ntestset: URL, BLEU: 29.4, chr-F: 0.555\ntestset: URL, BLEU: 26.1, chr-F: 0.534\ntestset: URL, BLEU: 21.6, chr-F: 0.491\ntestset: URL, BLEU: 22.3, chr-F: 0.502\ntestset: URL, BLEU: 23.6, chr-F: 0.514\ntestset: URL, BLEU: 19.8, chr-F: 0.480\ntestset: URL, BLEU: 20.9, chr-F: 0.487\ntestset: URL, BLEU: 25.0, chr-F: 0.523\ntestset: URL, BLEU: 14.7, chr-F: 0.425\ntestset: URL, BLEU: 27.6, chr-F: 0.542\ntestset: URL, BLEU: 25.7, chr-F: 0.530\ntestset: URL, BLEU: 20.6, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.517\ntestset: URL, BLEU: 26.1, chr-F: 0.537\ntestset: URL, BLEU: 29.1, chr-F: 0.561\ntestset: URL, BLEU: 21.0, chr-F: 0.489\ntestset: URL, BLEU: 21.3, chr-F: 0.494\ntestset: URL, BLEU: 26.8, chr-F: 0.546\ntestset: URL, BLEU: 28.2, chr-F: 0.549\ntestset: URL, BLEU: 20.5, chr-F: 0.485\ntestset: URL, BLEU: 22.3, chr-F: 0.503\ntestset: URL, BLEU: 27.5, chr-F: 0.545\ntestset: URL, BLEU: 26.6, chr-F: 0.532\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 22.5, chr-F: 0.498\ntestset: URL, BLEU: 25.0, chr-F: 0.518\ntestset: URL, BLEU: 27.4, chr-F: 0.537\ntestset: URL, BLEU: 21.6, chr-F: 0.484\ntestset: URL, BLEU: 28.4, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.517\ntestset: URL, BLEU: 24.1, chr-F: 0.511\ntestset: URL, BLEU: 29.1, chr-F: 0.563\ntestset: URL, BLEU: 14.0, chr-F: 0.414\ntestset: URL, BLEU: 24.0, chr-F: 0.521\ntestset: URL, BLEU: 21.9, chr-F: 0.481\ntestset: URL, BLEU: 25.5, chr-F: 0.519\ntestset: URL, BLEU: 17.4, chr-F: 0.441\ntestset: URL, BLEU: 22.4, chr-F: 0.494\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 30.1, chr-F: 0.560\ntestset: URL, BLEU: 18.5, chr-F: 0.461\ntestset: URL, BLEU: 29.6, chr-F: 0.562\ntestset: URL, BLEU: 22.0, chr-F: 0.495\ntestset: URL, BLEU: 14.8, chr-F: 0.415\ntestset: URL, BLEU: 20.2, chr-F: 0.475\ntestset: URL, BLEU: 26.0, chr-F: 0.523\ntestset: URL, BLEU: 19.6, chr-F: 0.465\ntestset: URL, BLEU: 16.2, chr-F: 0.454\ntestset: URL, BLEU: 24.2, chr-F: 0.510\ntestset: URL, BLEU: 15.0, chr-F: 0.412\ntestset: URL, BLEU: 13.7, chr-F: 0.412\ntestset: URL, BLEU: 21.2, chr-F: 0.486\ntestset: URL, BLEU: 31.5, chr-F: 0.564\ntestset: URL, BLEU: 19.7, chr-F: 0.473\ntestset: URL, BLEU: 15.1, chr-F: 0.418\ntestset: URL, BLEU: 21.3, chr-F: 0.490\ntestset: URL, BLEU: 15.4, chr-F: 0.421\ntestset: URL, BLEU: 12.9, chr-F: 0.408\ntestset: URL, BLEU: 27.0, chr-F: 0.529\ntestset: URL, BLEU: 17.2, chr-F: 0.438\ntestset: URL, BLEU: 9.0, chr-F: 0.342\ntestset: URL, BLEU: 22.6, chr-F: 0.512\ntestset: URL, BLEU: 24.1, chr-F: 0.503\ntestset: URL, BLEU: 13.9, chr-F: 0.427\ntestset: URL, BLEU: 15.2, chr-F: 0.428\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 2.4, chr-F: 0.190\ntestset: URL, BLEU: 1.1, chr-F: 0.111\ntestset: URL, BLEU: 1.7, chr-F: 0.108\ntestset: URL, BLEU: 53.0, chr-F: 0.672\ntestset: URL, BLEU: 5.9, chr-F: 0.239\ntestset: URL, BLEU: 25.6, chr-F: 0.464\ntestset: URL, BLEU: 11.7, chr-F: 0.289\ntestset: URL, BLEU: 26.4, chr-F: 0.443\ntestset: URL, BLEU: 35.9, chr-F: 0.473\ntestset: URL, BLEU: 19.8, chr-F: 0.365\ntestset: URL, BLEU: 31.8, chr-F: 0.467\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 9.7, chr-F: 0.271\ntestset: URL, BLEU: 37.0, chr-F: 0.542\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.2, chr-F: 0.094\ntestset: URL, BLEU: 36.8, chr-F: 0.549\ntestset: URL, BLEU: 39.7, chr-F: 0.546\ntestset: URL, BLEU: 33.6, chr-F: 0.540\ntestset: URL, BLEU: 1.1, chr-F: 0.147\ntestset: URL, BLEU: 14.2, chr-F: 0.303\ntestset: URL, BLEU: 1.7, chr-F: 0.130\ntestset: URL, BLEU: 46.0, chr-F: 0.621\ntestset: URL, BLEU: 46.6, chr-F: 0.636\ntestset: URL, BLEU: 17.4, chr-F: 0.347\ntestset: URL, BLEU: 41.3, chr-F: 0.586\ntestset: URL, BLEU: 7.9, chr-F: 0.232\ntestset: URL, BLEU: 0.7, chr-F: 0.104\ntestset: URL, BLEU: 7.3, chr-F: 0.261\ntestset: URL, BLEU: 8.8, chr-F: 0.244\ntestset: URL, BLEU: 11.0, chr-F: 0.319\ntestset: URL, BLEU: 5.4, chr-F: 0.204\ntestset: URL, BLEU: 58.2, chr-F: 0.643\ntestset: URL, BLEU: 26.3, chr-F: 0.399\ntestset: URL, BLEU: 18.8, chr-F: 0.389\ntestset: URL, BLEU: 23.4, chr-F: 0.407\ntestset: URL, BLEU: 50.5, chr-F: 0.659\ntestset: URL, BLEU: 39.6, chr-F: 0.579\ntestset: URL, BLEU: 24.3, chr-F: 0.449\ntestset: URL, BLEU: 1.0, chr-F: 0.149\ntestset: URL, BLEU: 1.6, chr-F: 0.061\ntestset: URL, BLEU: 7.6, chr-F: 0.236\ntestset: URL, BLEU: 55.4, chr-F: 0.682\ntestset: URL, BLEU: 28.0, chr-F: 0.489\ntestset: URL, BLEU: 41.8, chr-F: 0.591\ntestset: URL, BLEU: 41.5, chr-F: 0.581\ntestset: URL, BLEU: 37.8, chr-F: 0.557\ntestset: URL, BLEU: 10.7, chr-F: 0.262\ntestset: URL, BLEU: 25.5, chr-F: 0.405\ntestset: URL, BLEU: 28.7, chr-F: 0.469\ntestset: URL, BLEU: 7.5, chr-F: 0.281\ntestset: URL, BLEU: 24.2, chr-F: 0.320\ntestset: URL, BLEU: 35.8, chr-F: 0.534\ntestset: URL, BLEU: 15.5, chr-F: 0.434\ntestset: URL, BLEU: 45.1, chr-F: 0.618\ntestset: URL, BLEU: 29.6, chr-F: 0.427\ntestset: URL, BLEU: 5.5, chr-F: 0.138\ntestset: URL, BLEU: 25.3, chr-F: 0.455\ntestset: URL, BLEU: 1.1, chr-F: 0.127\ntestset: URL, BLEU: 16.0, chr-F: 0.315\ntestset: URL, BLEU: 46.7, chr-F: 0.587\ntestset: URL, BLEU: 20.2, chr-F: 0.358\ntestset: URL, BLEU: 43.9, chr-F: 0.592\ntestset: URL, BLEU: 45.1, chr-F: 0.623\ntestset: URL, BLEU: 3.3, chr-F: 0.119\ntestset: URL, BLEU: 20.1, chr-F: 0.364\ntestset: URL, BLEU: 0.1, chr-F: 0.041\ntestset: URL, BLEU: 2.1, chr-F: 0.137\ntestset: URL, BLEU: 1.7, chr-F: 0.152\ntestset: URL, BLEU: 18.2, chr-F: 0.334\ntestset: URL, BLEU: 21.7, chr-F: 0.373\ntestset: URL, BLEU: 34.5, chr-F: 0.502\ntestset: URL, BLEU: 10.5, chr-F: 0.295\ntestset: URL, BLEU: 2.8, chr-F: 0.160\ntestset: URL, BLEU: 46.7, chr-F: 0.623\ntestset: URL, BLEU: 33.0, chr-F: 0.492\ntestset: URL, BLEU: 17.0, chr-F: 0.391\ntestset: URL, BLEU: 16.0, chr-F: 0.339\ntestset: URL, BLEU: 36.4, chr-F: 0.533\ntestset: URL, BLEU: 0.4, chr-F: 0.131\ntestset: URL, BLEU: 0.7, chr-F: 0.132\ntestset: URL, BLEU: 41.9, chr-F: 0.551\ntestset: URL, BLEU: 33.2, chr-F: 0.510\ntestset: URL, BLEU: 32.2, chr-F: 0.487\ntestset: URL, BLEU: 9.4, chr-F: 0.278\ntestset: URL, BLEU: 5.8, chr-F: 0.200\ntestset: URL, BLEU: 31.7, chr-F: 0.503\ntestset: URL, BLEU: 9.1, chr-F: 0.164\ntestset: URL, BLEU: 42.2, chr-F: 0.595\ntestset: URL, BLEU: 29.7, chr-F: 0.485\ntestset: URL, BLEU: 42.1, chr-F: 0.607\ntestset: URL, BLEU: 35.7, chr-F: 0.527\ntestset: URL, BLEU: 54.8, chr-F: 0.686\ntestset: URL, BLEU: 28.3, chr-F: 0.526\ntestset: URL, BLEU: 10.0, chr-F: 0.282\ntestset: URL, BLEU: 0.3, chr-F: 0.115\ntestset: URL, BLEU: 5.3, chr-F: 0.140\ntestset: URL, BLEU: 18.8, chr-F: 0.387\ntestset: URL, BLEU: 3.9, chr-F: 0.205\ntestset: URL, BLEU: 16.9, chr-F: 0.329\ntestset: URL, BLEU: 16.2, chr-F: 0.374\ntestset: URL, BLEU: 31.1, chr-F: 0.493\ntestset: URL, BLEU: 24.5, chr-F: 0.437\ntestset: URL, BLEU: 7.4, chr-F: 0.192\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 12.2, chr-F: 0.290\ntestset: URL, BLEU: 22.5, chr-F: 0.355\ntestset: URL, BLEU: 27.2, chr-F: 0.470\ntestset: URL, BLEU: 2.1, chr-F: 0.129\ntestset: URL, BLEU: 4.5, chr-F: 0.259\ntestset: URL, BLEU: 1.4, chr-F: 0.099\ntestset: URL, BLEU: 26.1, chr-F: 0.387\ntestset: URL, BLEU: 5.5, chr-F: 0.256\ntestset: URL, BLEU: 9.3, chr-F: 0.288\ntestset: URL, BLEU: 9.6, chr-F: 0.208\ntestset: URL, BLEU: 30.1, chr-F: 0.475\ntestset: URL, BLEU: 11.6, chr-F: 0.284\ntestset: URL, BLEU: 4.5, chr-F: 0.214\ntestset: URL, BLEU: 21.5, chr-F: 0.402\ntestset: URL, BLEU: 40.2, chr-F: 0.577\ntestset: URL, BLEU: 0.8, chr-F: 0.115\ntestset: URL, BLEU: 23.0, chr-F: 0.433\ntestset: URL, BLEU: 9.3, chr-F: 0.287\ntestset: URL, BLEU: 2.4, chr-F: 0.196\ntestset: URL, BLEU: 44.0, chr-F: 0.597\ntestset: URL, BLEU: 1.6, chr-F: 0.115\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 18.3, chr-F: 0.312\ntestset: URL, BLEU: 25.4, chr-F: 0.395\ntestset: URL, BLEU: 35.9, chr-F: 0.509\ntestset: URL, BLEU: 5.1, chr-F: 0.357\ntestset: URL, BLEU: 2.8, chr-F: 0.123\ntestset: URL, BLEU: 5.7, chr-F: 0.175\ntestset: URL, BLEU: 56.3, chr-F: 0.703\ntestset: URL, BLEU: 37.5, chr-F: 0.534\ntestset: URL, BLEU: 22.8, chr-F: 0.470\ntestset: URL, BLEU: 2.0, chr-F: 0.110\ntestset: URL, BLEU: 59.2, chr-F: 0.764\ntestset: URL, BLEU: 9.0, chr-F: 0.199\ntestset: URL, BLEU: 44.3, chr-F: 0.593\ntestset: URL, BLEU: 31.9, chr-F: 0.424\ntestset: URL, BLEU: 38.6, chr-F: 0.540\ntestset: URL, BLEU: 2.5, chr-F: 0.101\ntestset: URL, BLEU: 0.3, chr-F: 0.110\ntestset: URL, BLEU: 13.5, chr-F: 0.334\ntestset: URL, BLEU: 8.5, chr-F: 0.260\ntestset: URL, BLEU: 33.9, chr-F: 0.520\ntestset: URL, BLEU: 34.7, chr-F: 0.518\ntestset: URL, BLEU: 37.4, chr-F: 0.630\ntestset: URL, BLEU: 15.5, chr-F: 0.335\ntestset: URL, BLEU: 0.8, chr-F: 0.118\ntestset: URL, BLEU: 9.0, chr-F: 0.186\ntestset: URL, BLEU: 1.3, chr-F: 0.144\ntestset: URL, BLEU: 30.7, chr-F: 0.495\ntestset: URL, BLEU: 3.5, chr-F: 0.168\ntestset: URL, BLEU: 42.7, chr-F: 0.492\ntestset: URL, BLEU: 47.9, chr-F: 0.640\ntestset: URL, BLEU: 12.7, chr-F: 0.284\ntestset: URL, BLEU: 43.8, chr-F: 0.586\ntestset: URL, BLEU: 45.5, chr-F: 0.619\ntestset: URL, BLEU: 26.9, chr-F: 0.472\ntestset: URL, BLEU: 33.2, chr-F: 0.456\ntestset: URL, BLEU: 17.9, chr-F: 0.370\ntestset: URL, BLEU: 14.6, chr-F: 0.305\ntestset: URL, BLEU: 11.0, chr-F: 0.283\ntestset: URL, BLEU: 4.1, chr-F: 0.211\ntestset: URL, BLEU: 4.1, chr-F: 0.216\ntestset: URL, BLEU: 24.3, chr-F: 0.468\ntestset: URL, BLEU: 16.4, chr-F: 0.358\ntestset: URL, BLEU: 53.2, chr-F: 0.628\ntestset: URL, BLEU: 3.7, chr-F: 0.173\ntestset: URL, BLEU: 45.3, chr-F: 0.569\ntestset: URL, BLEU: 14.0, chr-F: 0.345\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 51.4, chr-F: 0.669\ntestset: URL, BLEU: 0.4, chr-F: 0.134\ntestset: URL, BLEU: 4.1, chr-F: 0.198\ntestset: URL, BLEU: 6.7, chr-F: 0.233\ntestset: URL, BLEU: 3.5, chr-F: 0.091\ntestset: URL, BLEU: 0.2, chr-F: 0.090\ntestset: URL, BLEU: 17.5, chr-F: 0.230\ntestset: URL, BLEU: 4.2, chr-F: 0.164\ntestset: URL, BLEU: 24.6, chr-F: 0.464\ntestset: URL, BLEU: 3.4, chr-F: 0.212\ntestset: URL, BLEU: 45.2, chr-F: 0.620\ntestset: URL, BLEU: 21.4, chr-F: 0.390\ntestset: URL, BLEU: 24.5, chr-F: 0.392\ntestset: URL, BLEU: 42.7, chr-F: 0.591\ntestset: URL, BLEU: 3.4, chr-F: 0.187\ntestset: URL, BLEU: 5.0, chr-F: 0.177\ntestset: URL, BLEU: 2.0, chr-F: 0.172\ntestset: URL, BLEU: 35.8, chr-F: 0.410\ntestset: URL, BLEU: 34.6, chr-F: 0.520\ntestset: URL, BLEU: 21.8, chr-F: 0.299\ntestset: URL, BLEU: 1.8, chr-F: 0.122\ntestset: URL, BLEU: 1.4, chr-F: 0.104\ntestset: URL, BLEU: 20.6, chr-F: 0.429\ntestset: URL, BLEU: 1.2, chr-F: 0.095\ntestset: URL, BLEU: 37.0, chr-F: 0.545\ntestset: URL, BLEU: 4.4, chr-F: 0.147\ntestset: URL, BLEU: 8.9, chr-F: 0.229\ntestset: URL, BLEU: 37.7, chr-F: 0.483\ntestset: URL, BLEU: 18.0, chr-F: 0.359\ntestset: URL, BLEU: 28.1, chr-F: 0.444\ntestset: URL, BLEU: 23.6, chr-F: 0.472\ntestset: URL, BLEU: 47.9, chr-F: 0.645\ntestset: URL, BLEU: 46.9, chr-F: 0.634\ntestset: URL, BLEU: 8.1, chr-F: 0.379\ntestset: URL, BLEU: 23.8, chr-F: 0.369\ntestset: URL, BLEU: 6.5, chr-F: 0.193\ntestset: URL, BLEU: 51.4, chr-F: 0.655\ntestset: URL, BLEU: 18.5, chr-F: 0.342\ntestset: URL, BLEU: 25.6, chr-F: 0.249\ntestset: URL, BLEU: 29.1, chr-F: 0.437\ntestset: URL, BLEU: 12.9, chr-F: 0.327\ntestset: URL, BLEU: 21.2, chr-F: 0.386\ntestset: URL, BLEU: 9.2, chr-F: 0.215\ntestset: URL, BLEU: 12.7, chr-F: 0.374\ntestset: URL, BLEU: 36.3, chr-F: 0.531\ntestset: URL, BLEU: 9.1, chr-F: 0.267\ntestset: URL, BLEU: 0.2, chr-F: 0.084\ntestset: URL, BLEU: 2.1, chr-F: 0.128\ntestset: URL, BLEU: 5.3, chr-F: 0.150\ntestset: URL, BLEU: 39.5, chr-F: 0.473\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 44.7, chr-F: 0.526\ntestset: URL, BLEU: 18.6, chr-F: 0.401\ntestset: URL, BLEU: 40.5, chr-F: 0.573\ntestset: URL, BLEU: 55.0, chr-F: 0.593\ntestset: URL, BLEU: 19.1, chr-F: 0.477\ntestset: URL, BLEU: 17.7, chr-F: 0.333\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 11.4, chr-F: 0.289\ntestset: URL, BLEU: 43.1, chr-F: 0.595\ntestset: URL, BLEU: 9.2, chr-F: 0.260\ntestset: URL, BLEU: 23.2, chr-F: 0.426\ntestset: URL, BLEU: 19.0, chr-F: 0.342\ntestset: URL, BLEU: 41.1, chr-F: 0.409\ntestset: URL, BLEU: 30.6, chr-F: 0.481\ntestset: URL, BLEU: 1.8, chr-F: 0.143\ntestset: URL, BLEU: 15.9, chr-F: 0.352\ntestset: URL, BLEU: 12.6, chr-F: 0.291\ntestset: URL, BLEU: 4.4, chr-F: 0.138\ntestset: URL, BLEU: 0.9, chr-F: 0.153\ntestset: URL, BLEU: 35.4, chr-F: 0.513\ntestset: URL, BLEU: 19.4, chr-F: 0.387\ntestset: URL, BLEU: 19.3, chr-F: 0.327\ntestset: URL, BLEU: 25.8, chr-F: 0.448\ntestset: URL, BLEU: 40.9, chr-F: 0.567\ntestset: URL, BLEU: 1.6, chr-F: 0.125", "### System Info:\n\n\n* hf\\_name: mul-eng\n* source\\_languages: mul\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en']\n* src\\_constituents: {'sjn\\_Latn', 'cat', 'nan', 'spa', 'ile\\_Latn', 'pap', 'mwl', 'uzb\\_Latn', 'mww', 'hil', 'lij', 'avk\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'bos\\_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi\\_Latn', 'awa', 'swg', 'zsm\\_Latn', 'zho\\_Hant', 'gcf\\_Latn', 'uzb\\_Cyrl', 'isl', 'lfn\\_Latn', 'shs\\_Latn', 'nov\\_Latn', 'bho', 'ltz', 'lzh', 'kur\\_Latn', 'sun', 'arg', 'pes\\_Thaa', 'sqi', 'uig\\_Arab', 'csb\\_Latn', 'fra', 'hat', 'liv\\_Latn', 'non\\_Latn', 'sco', 'cmn\\_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul\\_Latn', 'amh', 'lfn\\_Cyrl', 'eus', 'fkv\\_Latn', 'tur', 'pus', 'afr', 'brx\\_Latn', 'nya', 'acm', 'ota\\_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho\\_Hans', 'tmw\\_Latn', 'kjh', 'ota\\_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh\\_Hans', 'ara', 'tly\\_Latn', 'lug', 'brx', 'bul', 'bel', 'vol\\_Latn', 'kat', 'gan', 'got\\_Goth', 'vro', 'ext', 'afh\\_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif\\_Latn', 'cjy\\_Hant', 'bre', 'ceb', 'mah', 'nob\\_Hebr', 'crh\\_Latn', 'prg\\_Latn', 'khm', 'ang\\_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze\\_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie\\_Hani', 'arz', 'yue', 'kha', 'san\\_Deva', 'jbo\\_Latn', 'gos', 'hau\\_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig\\_Cyrl', 'fao', 'mnw', 'zho', 'orv\\_Cyrl', 'iba', 'bel\\_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc\\_Grek', 'tpw\\_Latn', 'oci', 'mfe', 'sna', 'kir\\_Cyrl', 'tat\\_Latn', 'gom', 'ido\\_Latn', 'sgs', 'pau', 'tgk\\_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp\\_Latn', 'wuu', 'dtp', 'jbo\\_Cyrl', 'tet', 'bod', 'yue\\_Hans', 'zlm\\_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz\\_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif\\_Latn', 'vie', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina\\_Latn', 'cjy\\_Hans', 'jdt\\_Cyrl', 'gsw', 'glv', 'khm\\_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd\\_Arab', 'arq', 'mri', 'kur\\_Arab', 'por', 'hin', 'shy\\_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue\\_Hant', 'kpv', 'tam', 'est', 'frm\\_Latn', 'hoc\\_Latn', 'bam\\_Latn', 'kek\\_Latn', 'ksh', 'tlh\\_Latn', 'ltg', 'pan\\_Guru', 'hnj\\_Latn', 'cor', 'gle', 'swe', 'lin', 'qya\\_Latn', 'kum', 'mad', 'cmn\\_Hant', 'fuv', 'nau', 'mon', 'akl\\_Latn', 'guj', 'kaz\\_Latn', 'wln', 'tuk\\_Latn', 'jav\\_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws\\_Latn', 'urd', 'stq', 'tat\\_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl\\_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld\\_Latn', 'tzl\\_Latn', 'mdf', 'ike\\_Latn', 'ces', 'ldn\\_Latn', 'egl', 'heb', 'vec', 'zul', 'max\\_Latn', 'pes\\_Latn', 'yid', 'mal', 'nds'}\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: mul\n* tgt\\_alpha3: eng\n* short\\_pair: mul-en\n* chrF2\\_score: 0.518\n* bleu: 34.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 72346.0\n* src\\_name: Multiple languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: mul\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mul-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 315, 8567, 2809 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #eo #ro #fy #cy #is #lb #su #an #sq #fr #ht #rm #cv #ig #am #eu #tr #ps #af #ny #ch #uk #sl #lt #tk #sg #ar #lg #bg #be #ka #gd #ja #si #br #mh #km #th #ty #rw #te #mk #or #wo #kl #mr #ru #yo #hu #fo #zh #ti #co #ee #oc #sn #mt #ts #pl #gl #nb #bn #tt #bo #lo #id #gn #nv #hy #kn #to #io #so #vi #da #fj #gv #sm #nl #mi #pt #hi #se #as #ta #et #kw #ga #sv #ln #na #mn #gu #wa #lv #jv #el #my #ba #it #hr #ur #ce #nn #fi #mg #rn #xh #ab #de #cs #he #zu #yi #ml #mul #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### mul-eng\n\n\n* source group: Multiple languages\n* target group: English\n* OPUS readme: mul-eng\n* model: transformer\n* source language(s): abk acm ady afb afh\\_Latn afr akl\\_Latn aln amh ang\\_Latn apc ara arg arq ary arz asm ast avk\\_Latn awa aze\\_Latn bak bam\\_Latn bel bel\\_Latn ben bho bod bos\\_Latn bre brx brx\\_Latn bul bul\\_Latn cat ceb ces cha che chr chv cjy\\_Hans cjy\\_Hant cmn cmn\\_Hans cmn\\_Hant cor cos crh crh\\_Latn csb\\_Latn cym dan deu dsb dtp dws\\_Latn egl ell enm\\_Latn epo est eus ewe ext fao fij fin fkv\\_Latn fra frm\\_Latn frr fry fuc fuv gan gcf\\_Latn gil gla gle glg glv gom gos got\\_Goth grc\\_Grek grn gsw guj hat hau\\_Latn haw heb hif\\_Latn hil hin hnj\\_Latn hoc hoc\\_Latn hrv hsb hun hye iba ibo ido ido\\_Latn ike\\_Latn ile\\_Latn ilo ina\\_Latn ind isl ita izh jav jav\\_Java jbo jbo\\_Cyrl jbo\\_Latn jdt\\_Cyrl jpn kab kal kan kat kaz\\_Cyrl kaz\\_Latn kek\\_Latn kha khm khm\\_Latn kin kir\\_Cyrl kjh kpv krl ksh kum kur\\_Arab kur\\_Latn lad lad\\_Latn lao lat\\_Latn lav ldn\\_Latn lfn\\_Cyrl lfn\\_Latn lij lin lit liv\\_Latn lkt lld\\_Latn lmo ltg ltz lug lzh lzh\\_Hans mad mah mai mal mar max\\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\\_Hebr nog non\\_Latn nov\\_Latn npi nya oci ori orv\\_Cyrl oss ota\\_Arab ota\\_Latn pag pan\\_Guru pap pau pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por ppl\\_Latn prg\\_Latn pus quc qya qya\\_Latn rap rif\\_Latn roh rom ron rue run rus sag sah san\\_Deva scn sco sgs shs\\_Latn shy\\_Latn sin sjn\\_Latn slv sma sme smo sna snd\\_Arab som spa sqi srp\\_Cyrl srp\\_Latn stq sun swe swg swh tah tam tat tat\\_Arab tat\\_Latn tel tet tgk\\_Cyrl tha tir tlh\\_Latn tly\\_Latn tmw\\_Latn toi\\_Latn ton tpw\\_Latn tso tuk tuk\\_Latn tur tvl tyv tzl tzl\\_Latn udm uig\\_Arab uig\\_Cyrl ukr umb urd uzb\\_Cyrl uzb\\_Latn vec vie vie\\_Hani vol\\_Latn vro war wln wol wuu xal xho yid yor yue yue\\_Hans yue\\_Hant zho zho\\_Hans zho\\_Hant zlm\\_Latn zsm\\_Latn zul zza\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: 8.5, chr-F: 0.341\ntestset: URL, BLEU: 16.8, chr-F: 0.441\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 16.4, chr-F: 0.422\ntestset: URL, BLEU: 21.3, chr-F: 0.502\ntestset: URL, BLEU: 12.7, chr-F: 0.409\ntestset: URL, BLEU: 19.8, chr-F: 0.467\ntestset: URL, BLEU: 13.3, chr-F: 0.385\ntestset: URL, BLEU: 19.9, chr-F: 0.482\ntestset: URL, BLEU: 26.7, chr-F: 0.520\ntestset: URL, BLEU: 29.8, chr-F: 0.541\ntestset: URL, BLEU: 21.1, chr-F: 0.487\ntestset: URL, BLEU: 22.6, chr-F: 0.499\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 15.1, chr-F: 0.430\ntestset: URL, BLEU: 29.4, chr-F: 0.555\ntestset: URL, BLEU: 26.1, chr-F: 0.534\ntestset: URL, BLEU: 21.6, chr-F: 0.491\ntestset: URL, BLEU: 22.3, chr-F: 0.502\ntestset: URL, BLEU: 23.6, chr-F: 0.514\ntestset: URL, BLEU: 19.8, chr-F: 0.480\ntestset: URL, BLEU: 20.9, chr-F: 0.487\ntestset: URL, BLEU: 25.0, chr-F: 0.523\ntestset: URL, BLEU: 14.7, chr-F: 0.425\ntestset: URL, BLEU: 27.6, chr-F: 0.542\ntestset: URL, BLEU: 25.7, chr-F: 0.530\ntestset: URL, BLEU: 20.6, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.517\ntestset: URL, BLEU: 26.1, chr-F: 0.537\ntestset: URL, BLEU: 29.1, chr-F: 0.561\ntestset: URL, BLEU: 21.0, chr-F: 0.489\ntestset: URL, BLEU: 21.3, chr-F: 0.494\ntestset: URL, BLEU: 26.8, chr-F: 0.546\ntestset: URL, BLEU: 28.2, chr-F: 0.549\ntestset: URL, BLEU: 20.5, chr-F: 0.485\ntestset: URL, BLEU: 22.3, chr-F: 0.503\ntestset: URL, BLEU: 27.5, chr-F: 0.545\ntestset: URL, BLEU: 26.6, chr-F: 0.532\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 22.5, chr-F: 0.498\ntestset: URL, BLEU: 25.0, chr-F: 0.518\ntestset: URL, BLEU: 27.4, chr-F: 0.537\ntestset: URL, BLEU: 21.6, chr-F: 0.484\ntestset: URL, BLEU: 28.4, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.517\ntestset: URL, BLEU: 24.1, chr-F: 0.511\ntestset: URL, BLEU: 29.1, chr-F: 0.563\ntestset: URL, BLEU: 14.0, chr-F: 0.414\ntestset: URL, BLEU: 24.0, chr-F: 0.521\ntestset: URL, BLEU: 21.9, chr-F: 0.481\ntestset: URL, BLEU: 25.5, chr-F: 0.519\ntestset: URL, BLEU: 17.4, chr-F: 0.441\ntestset: URL, BLEU: 22.4, chr-F: 0.494\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 30.1, chr-F: 0.560\ntestset: URL, BLEU: 18.5, chr-F: 0.461\ntestset: URL, BLEU: 29.6, chr-F: 0.562\ntestset: URL, BLEU: 22.0, chr-F: 0.495\ntestset: URL, BLEU: 14.8, chr-F: 0.415\ntestset: URL, BLEU: 20.2, chr-F: 0.475\ntestset: URL, BLEU: 26.0, chr-F: 0.523\ntestset: URL, BLEU: 19.6, chr-F: 0.465\ntestset: URL, BLEU: 16.2, chr-F: 0.454\ntestset: URL, BLEU: 24.2, chr-F: 0.510\ntestset: URL, BLEU: 15.0, chr-F: 0.412\ntestset: URL, BLEU: 13.7, chr-F: 0.412\ntestset: URL, BLEU: 21.2, chr-F: 0.486\ntestset: URL, BLEU: 31.5, chr-F: 0.564\ntestset: URL, BLEU: 19.7, chr-F: 0.473\ntestset: URL, BLEU: 15.1, chr-F: 0.418\ntestset: URL, BLEU: 21.3, chr-F: 0.490\ntestset: URL, BLEU: 15.4, chr-F: 0.421\ntestset: URL, BLEU: 12.9, chr-F: 0.408\ntestset: URL, BLEU: 27.0, chr-F: 0.529\ntestset: URL, BLEU: 17.2, chr-F: 0.438\ntestset: URL, BLEU: 9.0, chr-F: 0.342\ntestset: URL, BLEU: 22.6, chr-F: 0.512\ntestset: URL, BLEU: 24.1, chr-F: 0.503\ntestset: URL, BLEU: 13.9, chr-F: 0.427\ntestset: URL, BLEU: 15.2, chr-F: 0.428\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 2.4, chr-F: 0.190\ntestset: URL, BLEU: 1.1, chr-F: 0.111\ntestset: URL, BLEU: 1.7, chr-F: 0.108\ntestset: URL, BLEU: 53.0, chr-F: 0.672\ntestset: URL, BLEU: 5.9, chr-F: 0.239\ntestset: URL, BLEU: 25.6, chr-F: 0.464\ntestset: URL, BLEU: 11.7, chr-F: 0.289\ntestset: URL, BLEU: 26.4, chr-F: 0.443\ntestset: URL, BLEU: 35.9, chr-F: 0.473\ntestset: URL, BLEU: 19.8, chr-F: 0.365\ntestset: URL, BLEU: 31.8, chr-F: 0.467\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 9.7, chr-F: 0.271\ntestset: URL, BLEU: 37.0, chr-F: 0.542\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.2, chr-F: 0.094\ntestset: URL, BLEU: 36.8, chr-F: 0.549\ntestset: URL, BLEU: 39.7, chr-F: 0.546\ntestset: URL, BLEU: 33.6, chr-F: 0.540\ntestset: URL, BLEU: 1.1, chr-F: 0.147\ntestset: URL, BLEU: 14.2, chr-F: 0.303\ntestset: URL, BLEU: 1.7, chr-F: 0.130\ntestset: URL, BLEU: 46.0, chr-F: 0.621\ntestset: URL, BLEU: 46.6, chr-F: 0.636\ntestset: URL, BLEU: 17.4, chr-F: 0.347\ntestset: URL, BLEU: 41.3, chr-F: 0.586\ntestset: URL, BLEU: 7.9, chr-F: 0.232\ntestset: URL, BLEU: 0.7, chr-F: 0.104\ntestset: URL, BLEU: 7.3, chr-F: 0.261\ntestset: URL, BLEU: 8.8, chr-F: 0.244\ntestset: URL, BLEU: 11.0, chr-F: 0.319\ntestset: URL, BLEU: 5.4, chr-F: 0.204\ntestset: URL, BLEU: 58.2, chr-F: 0.643\ntestset: URL, BLEU: 26.3, chr-F: 0.399\ntestset: URL, BLEU: 18.8, chr-F: 0.389\ntestset: URL, BLEU: 23.4, chr-F: 0.407\ntestset: URL, BLEU: 50.5, chr-F: 0.659\ntestset: URL, BLEU: 39.6, chr-F: 0.579\ntestset: URL, BLEU: 24.3, chr-F: 0.449\ntestset: URL, BLEU: 1.0, chr-F: 0.149\ntestset: URL, BLEU: 1.6, chr-F: 0.061\ntestset: URL, BLEU: 7.6, chr-F: 0.236\ntestset: URL, BLEU: 55.4, chr-F: 0.682\ntestset: URL, BLEU: 28.0, chr-F: 0.489\ntestset: URL, BLEU: 41.8, chr-F: 0.591\ntestset: URL, BLEU: 41.5, chr-F: 0.581\ntestset: URL, BLEU: 37.8, chr-F: 0.557\ntestset: URL, BLEU: 10.7, chr-F: 0.262\ntestset: URL, BLEU: 25.5, chr-F: 0.405\ntestset: URL, BLEU: 28.7, chr-F: 0.469\ntestset: URL, BLEU: 7.5, chr-F: 0.281\ntestset: URL, BLEU: 24.2, chr-F: 0.320\ntestset: URL, BLEU: 35.8, chr-F: 0.534\ntestset: URL, BLEU: 15.5, chr-F: 0.434\ntestset: URL, BLEU: 45.1, chr-F: 0.618\ntestset: URL, BLEU: 29.6, chr-F: 0.427\ntestset: URL, BLEU: 5.5, chr-F: 0.138\ntestset: URL, BLEU: 25.3, chr-F: 0.455\ntestset: URL, BLEU: 1.1, chr-F: 0.127\ntestset: URL, BLEU: 16.0, chr-F: 0.315\ntestset: URL, BLEU: 46.7, chr-F: 0.587\ntestset: URL, BLEU: 20.2, chr-F: 0.358\ntestset: URL, BLEU: 43.9, chr-F: 0.592\ntestset: URL, BLEU: 45.1, chr-F: 0.623\ntestset: URL, BLEU: 3.3, chr-F: 0.119\ntestset: URL, BLEU: 20.1, chr-F: 0.364\ntestset: URL, BLEU: 0.1, chr-F: 0.041\ntestset: URL, BLEU: 2.1, chr-F: 0.137\ntestset: URL, BLEU: 1.7, chr-F: 0.152\ntestset: URL, BLEU: 18.2, chr-F: 0.334\ntestset: URL, BLEU: 21.7, chr-F: 0.373\ntestset: URL, BLEU: 34.5, chr-F: 0.502\ntestset: URL, BLEU: 10.5, chr-F: 0.295\ntestset: URL, BLEU: 2.8, chr-F: 0.160\ntestset: URL, BLEU: 46.7, chr-F: 0.623\ntestset: URL, BLEU: 33.0, chr-F: 0.492\ntestset: URL, BLEU: 17.0, chr-F: 0.391\ntestset: URL, BLEU: 16.0, chr-F: 0.339\ntestset: URL, BLEU: 36.4, chr-F: 0.533\ntestset: URL, BLEU: 0.4, chr-F: 0.131\ntestset: URL, BLEU: 0.7, chr-F: 0.132\ntestset: URL, BLEU: 41.9, chr-F: 0.551\ntestset: URL, BLEU: 33.2, chr-F: 0.510\ntestset: URL, BLEU: 32.2, chr-F: 0.487\ntestset: URL, BLEU: 9.4, chr-F: 0.278\ntestset: URL, BLEU: 5.8, chr-F: 0.200\ntestset: URL, BLEU: 31.7, chr-F: 0.503\ntestset: URL, BLEU: 9.1, chr-F: 0.164\ntestset: URL, BLEU: 42.2, chr-F: 0.595\ntestset: URL, BLEU: 29.7, chr-F: 0.485\ntestset: URL, BLEU: 42.1, chr-F: 0.607\ntestset: URL, BLEU: 35.7, chr-F: 0.527\ntestset: URL, BLEU: 54.8, chr-F: 0.686\ntestset: URL, BLEU: 28.3, chr-F: 0.526\ntestset: URL, BLEU: 10.0, chr-F: 0.282\ntestset: URL, BLEU: 0.3, chr-F: 0.115\ntestset: URL, BLEU: 5.3, chr-F: 0.140\ntestset: URL, BLEU: 18.8, chr-F: 0.387\ntestset: URL, BLEU: 3.9, chr-F: 0.205\ntestset: URL, BLEU: 16.9, chr-F: 0.329\ntestset: URL, BLEU: 16.2, chr-F: 0.374\ntestset: URL, BLEU: 31.1, chr-F: 0.493\ntestset: URL, BLEU: 24.5, chr-F: 0.437\ntestset: URL, BLEU: 7.4, chr-F: 0.192\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 12.2, chr-F: 0.290\ntestset: URL, BLEU: 22.5, chr-F: 0.355\ntestset: URL, BLEU: 27.2, chr-F: 0.470\ntestset: URL, BLEU: 2.1, chr-F: 0.129\ntestset: URL, BLEU: 4.5, chr-F: 0.259\ntestset: URL, BLEU: 1.4, chr-F: 0.099\ntestset: URL, BLEU: 26.1, chr-F: 0.387\ntestset: URL, BLEU: 5.5, chr-F: 0.256\ntestset: URL, BLEU: 9.3, chr-F: 0.288\ntestset: URL, BLEU: 9.6, chr-F: 0.208\ntestset: URL, BLEU: 30.1, chr-F: 0.475\ntestset: URL, BLEU: 11.6, chr-F: 0.284\ntestset: URL, BLEU: 4.5, chr-F: 0.214\ntestset: URL, BLEU: 21.5, chr-F: 0.402\ntestset: URL, BLEU: 40.2, chr-F: 0.577\ntestset: URL, BLEU: 0.8, chr-F: 0.115\ntestset: URL, BLEU: 23.0, chr-F: 0.433\ntestset: URL, BLEU: 9.3, chr-F: 0.287\ntestset: URL, BLEU: 2.4, chr-F: 0.196\ntestset: URL, BLEU: 44.0, chr-F: 0.597\ntestset: URL, BLEU: 1.6, chr-F: 0.115\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 18.3, chr-F: 0.312\ntestset: URL, BLEU: 25.4, chr-F: 0.395\ntestset: URL, BLEU: 35.9, chr-F: 0.509\ntestset: URL, BLEU: 5.1, chr-F: 0.357\ntestset: URL, BLEU: 2.8, chr-F: 0.123\ntestset: URL, BLEU: 5.7, chr-F: 0.175\ntestset: URL, BLEU: 56.3, chr-F: 0.703\ntestset: URL, BLEU: 37.5, chr-F: 0.534\ntestset: URL, BLEU: 22.8, chr-F: 0.470\ntestset: URL, BLEU: 2.0, chr-F: 0.110\ntestset: URL, BLEU: 59.2, chr-F: 0.764\ntestset: URL, BLEU: 9.0, chr-F: 0.199\ntestset: URL, BLEU: 44.3, chr-F: 0.593\ntestset: URL, BLEU: 31.9, chr-F: 0.424\ntestset: URL, BLEU: 38.6, chr-F: 0.540\ntestset: URL, BLEU: 2.5, chr-F: 0.101\ntestset: URL, BLEU: 0.3, chr-F: 0.110\ntestset: URL, BLEU: 13.5, chr-F: 0.334\ntestset: URL, BLEU: 8.5, chr-F: 0.260\ntestset: URL, BLEU: 33.9, chr-F: 0.520\ntestset: URL, BLEU: 34.7, chr-F: 0.518\ntestset: URL, BLEU: 37.4, chr-F: 0.630\ntestset: URL, BLEU: 15.5, chr-F: 0.335\ntestset: URL, BLEU: 0.8, chr-F: 0.118\ntestset: URL, BLEU: 9.0, chr-F: 0.186\ntestset: URL, BLEU: 1.3, chr-F: 0.144\ntestset: URL, BLEU: 30.7, chr-F: 0.495\ntestset: URL, BLEU: 3.5, chr-F: 0.168\ntestset: URL, BLEU: 42.7, chr-F: 0.492\ntestset: URL, BLEU: 47.9, chr-F: 0.640\ntestset: URL, BLEU: 12.7, chr-F: 0.284\ntestset: URL, BLEU: 43.8, chr-F: 0.586\ntestset: URL, BLEU: 45.5, chr-F: 0.619\ntestset: URL, BLEU: 26.9, chr-F: 0.472\ntestset: URL, BLEU: 33.2, chr-F: 0.456\ntestset: URL, BLEU: 17.9, chr-F: 0.370\ntestset: URL, BLEU: 14.6, chr-F: 0.305\ntestset: URL, BLEU: 11.0, chr-F: 0.283\ntestset: URL, BLEU: 4.1, chr-F: 0.211\ntestset: URL, BLEU: 4.1, chr-F: 0.216\ntestset: URL, BLEU: 24.3, chr-F: 0.468\ntestset: URL, BLEU: 16.4, chr-F: 0.358\ntestset: URL, BLEU: 53.2, chr-F: 0.628\ntestset: URL, BLEU: 3.7, chr-F: 0.173\ntestset: URL, BLEU: 45.3, chr-F: 0.569\ntestset: URL, BLEU: 14.0, chr-F: 0.345\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 51.4, chr-F: 0.669\ntestset: URL, BLEU: 0.4, chr-F: 0.134\ntestset: URL, BLEU: 4.1, chr-F: 0.198\ntestset: URL, BLEU: 6.7, chr-F: 0.233\ntestset: URL, BLEU: 3.5, chr-F: 0.091\ntestset: URL, BLEU: 0.2, chr-F: 0.090\ntestset: URL, BLEU: 17.5, chr-F: 0.230\ntestset: URL, BLEU: 4.2, chr-F: 0.164\ntestset: URL, BLEU: 24.6, chr-F: 0.464\ntestset: URL, BLEU: 3.4, chr-F: 0.212\ntestset: URL, BLEU: 45.2, chr-F: 0.620\ntestset: URL, BLEU: 21.4, chr-F: 0.390\ntestset: URL, BLEU: 24.5, chr-F: 0.392\ntestset: URL, BLEU: 42.7, chr-F: 0.591\ntestset: URL, BLEU: 3.4, chr-F: 0.187\ntestset: URL, BLEU: 5.0, chr-F: 0.177\ntestset: URL, BLEU: 2.0, chr-F: 0.172\ntestset: URL, BLEU: 35.8, chr-F: 0.410\ntestset: URL, BLEU: 34.6, chr-F: 0.520\ntestset: URL, BLEU: 21.8, chr-F: 0.299\ntestset: URL, BLEU: 1.8, chr-F: 0.122\ntestset: URL, BLEU: 1.4, chr-F: 0.104\ntestset: URL, BLEU: 20.6, chr-F: 0.429\ntestset: URL, BLEU: 1.2, chr-F: 0.095\ntestset: URL, BLEU: 37.0, chr-F: 0.545\ntestset: URL, BLEU: 4.4, chr-F: 0.147\ntestset: URL, BLEU: 8.9, chr-F: 0.229\ntestset: URL, BLEU: 37.7, chr-F: 0.483\ntestset: URL, BLEU: 18.0, chr-F: 0.359\ntestset: URL, BLEU: 28.1, chr-F: 0.444\ntestset: URL, BLEU: 23.6, chr-F: 0.472\ntestset: URL, BLEU: 47.9, chr-F: 0.645\ntestset: URL, BLEU: 46.9, chr-F: 0.634\ntestset: URL, BLEU: 8.1, chr-F: 0.379\ntestset: URL, BLEU: 23.8, chr-F: 0.369\ntestset: URL, BLEU: 6.5, chr-F: 0.193\ntestset: URL, BLEU: 51.4, chr-F: 0.655\ntestset: URL, BLEU: 18.5, chr-F: 0.342\ntestset: URL, BLEU: 25.6, chr-F: 0.249\ntestset: URL, BLEU: 29.1, chr-F: 0.437\ntestset: URL, BLEU: 12.9, chr-F: 0.327\ntestset: URL, BLEU: 21.2, chr-F: 0.386\ntestset: URL, BLEU: 9.2, chr-F: 0.215\ntestset: URL, BLEU: 12.7, chr-F: 0.374\ntestset: URL, BLEU: 36.3, chr-F: 0.531\ntestset: URL, BLEU: 9.1, chr-F: 0.267\ntestset: URL, BLEU: 0.2, chr-F: 0.084\ntestset: URL, BLEU: 2.1, chr-F: 0.128\ntestset: URL, BLEU: 5.3, chr-F: 0.150\ntestset: URL, BLEU: 39.5, chr-F: 0.473\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 44.7, chr-F: 0.526\ntestset: URL, BLEU: 18.6, chr-F: 0.401\ntestset: URL, BLEU: 40.5, chr-F: 0.573\ntestset: URL, BLEU: 55.0, chr-F: 0.593\ntestset: URL, BLEU: 19.1, chr-F: 0.477\ntestset: URL, BLEU: 17.7, chr-F: 0.333\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 11.4, chr-F: 0.289\ntestset: URL, BLEU: 43.1, chr-F: 0.595\ntestset: URL, BLEU: 9.2, chr-F: 0.260\ntestset: URL, BLEU: 23.2, chr-F: 0.426\ntestset: URL, BLEU: 19.0, chr-F: 0.342\ntestset: URL, BLEU: 41.1, chr-F: 0.409\ntestset: URL, BLEU: 30.6, chr-F: 0.481\ntestset: URL, BLEU: 1.8, chr-F: 0.143\ntestset: URL, BLEU: 15.9, chr-F: 0.352\ntestset: URL, BLEU: 12.6, chr-F: 0.291\ntestset: URL, BLEU: 4.4, chr-F: 0.138\ntestset: URL, BLEU: 0.9, chr-F: 0.153\ntestset: URL, BLEU: 35.4, chr-F: 0.513\ntestset: URL, BLEU: 19.4, chr-F: 0.387\ntestset: URL, BLEU: 19.3, chr-F: 0.327\ntestset: URL, BLEU: 25.8, chr-F: 0.448\ntestset: URL, BLEU: 40.9, chr-F: 0.567\ntestset: URL, BLEU: 1.6, chr-F: 0.125### System Info:\n\n\n* hf\\_name: mul-eng\n* source\\_languages: mul\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en']\n* src\\_constituents: {'sjn\\_Latn', 'cat', 'nan', 'spa', 'ile\\_Latn', 'pap', 'mwl', 'uzb\\_Latn', 'mww', 'hil', 'lij', 'avk\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'bos\\_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi\\_Latn', 'awa', 'swg', 'zsm\\_Latn', 'zho\\_Hant', 'gcf\\_Latn', 'uzb\\_Cyrl', 'isl', 'lfn\\_Latn', 'shs\\_Latn', 'nov\\_Latn', 'bho', 'ltz', 'lzh', 'kur\\_Latn', 'sun', 'arg', 'pes\\_Thaa', 'sqi', 'uig\\_Arab', 'csb\\_Latn', 'fra', 'hat', 'liv\\_Latn', 'non\\_Latn', 'sco', 'cmn\\_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul\\_Latn', 'amh', 'lfn\\_Cyrl', 'eus', 'fkv\\_Latn', 'tur', 'pus', 'afr', 'brx\\_Latn', 'nya', 'acm', 'ota\\_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho\\_Hans', 'tmw\\_Latn', 'kjh', 'ota\\_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh\\_Hans', 'ara', 'tly\\_Latn', 'lug', 'brx', 'bul', 'bel', 'vol\\_Latn', 'kat', 'gan', 'got\\_Goth', 'vro', 'ext', 'afh\\_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif\\_Latn', 'cjy\\_Hant', 'bre', 'ceb', 'mah', 'nob\\_Hebr', 'crh\\_Latn', 'prg\\_Latn', 'khm', 'ang\\_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze\\_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie\\_Hani', 'arz', 'yue', 'kha', 'san\\_Deva', 'jbo\\_Latn', 'gos', 'hau\\_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig\\_Cyrl', 'fao', 'mnw', 'zho', 'orv\\_Cyrl', 'iba', 'bel\\_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc\\_Grek', 'tpw\\_Latn', 'oci', 'mfe', 'sna', 'kir\\_Cyrl', 'tat\\_Latn', 'gom', 'ido\\_Latn', 'sgs', 'pau', 'tgk\\_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp\\_Latn', 'wuu', 'dtp', 'jbo\\_Cyrl', 'tet', 'bod', 'yue\\_Hans', 'zlm\\_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz\\_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif\\_Latn', 'vie', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina\\_Latn', 'cjy\\_Hans', 'jdt\\_Cyrl', 'gsw', 'glv', 'khm\\_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd\\_Arab', 'arq', 'mri', 'kur\\_Arab', 'por', 'hin', 'shy\\_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue\\_Hant', 'kpv', 'tam', 'est', 'frm\\_Latn', 'hoc\\_Latn', 'bam\\_Latn', 'kek\\_Latn', 'ksh', 'tlh\\_Latn', 'ltg', 'pan\\_Guru', 'hnj\\_Latn', 'cor', 'gle', 'swe', 'lin', 'qya\\_Latn', 'kum', 'mad', 'cmn\\_Hant', 'fuv', 'nau', 'mon', 'akl\\_Latn', 'guj', 'kaz\\_Latn', 'wln', 'tuk\\_Latn', 'jav\\_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws\\_Latn', 'urd', 'stq', 'tat\\_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl\\_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld\\_Latn', 'tzl\\_Latn', 'mdf', 'ike\\_Latn', 'ces', 'ldn\\_Latn', 'egl', 'heb', 'vec', 'zul', 'max\\_Latn', 'pes\\_Latn', 'yid', 'mal', 'nds'}\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: mul\n* tgt\\_alpha3: eng\n* short\\_pair: mul-en\n* chrF2\\_score: 0.518\n* bleu: 34.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 72346.0\n* src\\_name: Multiple languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: mul\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mul-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", "ng", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-ng-en\n\n\n* source languages: ng\n* target languages: en\n* OPUS readme: ng-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: 27.3, chr-F: 0.443" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ng #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ng-en\n\n\n* source languages: ng\n* target languages: en\n* OPUS readme: ng-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: 27.3, chr-F: 0.443" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ng #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ng-en\n\n\n* source languages: ng\n* target languages: en\n* OPUS readme: ng-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: 27.3, chr-F: 0.443" ]

[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "nic", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "nic", "en" ]

[ "### nic-eng\n\n\n* source group: Niger-Kordofanian languages\n* target group: English\n* OPUS readme: nic-eng\n* model: transformer\n* source language(s): bam\\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 2.4, chr-F: 0.090\ntestset: URL, BLEU: 10.3, chr-F: 0.384\ntestset: URL, BLEU: 1.2, chr-F: 0.114\ntestset: URL, BLEU: 7.5, chr-F: 0.197\ntestset: URL, BLEU: 30.7, chr-F: 0.481\ntestset: URL, BLEU: 3.1, chr-F: 0.185\ntestset: URL, BLEU: 3.1, chr-F: 0.261\ntestset: URL, BLEU: 21.3, chr-F: 0.377\ntestset: URL, BLEU: 31.6, chr-F: 0.502\ntestset: URL, BLEU: 24.9, chr-F: 0.420\ntestset: URL, BLEU: 5.2, chr-F: 0.231\ntestset: URL, BLEU: 20.1, chr-F: 0.374\ntestset: URL, BLEU: 4.6, chr-F: 0.191\ntestset: URL, BLEU: 4.8, chr-F: 0.122\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 9.0, chr-F: 0.246\ntestset: URL, BLEU: 14.0, chr-F: 0.212\ntestset: URL, BLEU: 38.2, chr-F: 0.558\ntestset: URL, BLEU: 21.2, chr-F: 0.364\ntestset: URL, BLEU: 42.3, chr-F: 0.589", "### System Info:\n\n\n* hf\\_name: nic-eng\n* source\\_languages: nic\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en']\n* src\\_constituents: {'bam\\_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\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: nic\n* tgt\\_alpha3: eng\n* short\\_pair: nic-en\n* chrF2\\_score: 0.377\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 15228.0\n* src\\_name: Niger-Kordofanian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: nic\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: nic-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 #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #nic #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nic-eng\n\n\n* source group: Niger-Kordofanian languages\n* target group: English\n* OPUS readme: nic-eng\n* model: transformer\n* source language(s): bam\\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 2.4, chr-F: 0.090\ntestset: URL, BLEU: 10.3, chr-F: 0.384\ntestset: URL, BLEU: 1.2, chr-F: 0.114\ntestset: URL, BLEU: 7.5, chr-F: 0.197\ntestset: URL, BLEU: 30.7, chr-F: 0.481\ntestset: URL, BLEU: 3.1, chr-F: 0.185\ntestset: URL, BLEU: 3.1, chr-F: 0.261\ntestset: URL, BLEU: 21.3, chr-F: 0.377\ntestset: URL, BLEU: 31.6, chr-F: 0.502\ntestset: URL, BLEU: 24.9, chr-F: 0.420\ntestset: URL, BLEU: 5.2, chr-F: 0.231\ntestset: URL, BLEU: 20.1, chr-F: 0.374\ntestset: URL, BLEU: 4.6, chr-F: 0.191\ntestset: URL, BLEU: 4.8, chr-F: 0.122\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 9.0, chr-F: 0.246\ntestset: URL, BLEU: 14.0, chr-F: 0.212\ntestset: URL, BLEU: 38.2, chr-F: 0.558\ntestset: URL, BLEU: 21.2, chr-F: 0.364\ntestset: URL, BLEU: 42.3, chr-F: 0.589", "### System Info:\n\n\n* hf\\_name: nic-eng\n* source\\_languages: nic\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en']\n* src\\_constituents: {'bam\\_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\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: nic\n* tgt\\_alpha3: eng\n* short\\_pair: nic-en\n* chrF2\\_score: 0.377\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 15228.0\n* src\\_name: Niger-Kordofanian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: nic\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: nic-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 85, 604, 560 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #nic #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nic-eng\n\n\n* source group: Niger-Kordofanian languages\n* target group: English\n* OPUS readme: nic-eng\n* model: transformer\n* source language(s): bam\\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 2.4, chr-F: 0.090\ntestset: URL, BLEU: 10.3, chr-F: 0.384\ntestset: URL, BLEU: 1.2, chr-F: 0.114\ntestset: URL, BLEU: 7.5, chr-F: 0.197\ntestset: URL, BLEU: 30.7, chr-F: 0.481\ntestset: URL, BLEU: 3.1, chr-F: 0.185\ntestset: URL, BLEU: 3.1, chr-F: 0.261\ntestset: URL, BLEU: 21.3, chr-F: 0.377\ntestset: URL, BLEU: 31.6, chr-F: 0.502\ntestset: URL, BLEU: 24.9, chr-F: 0.420\ntestset: URL, BLEU: 5.2, chr-F: 0.231\ntestset: URL, BLEU: 20.1, chr-F: 0.374\ntestset: URL, BLEU: 4.6, chr-F: 0.191\ntestset: URL, BLEU: 4.8, chr-F: 0.122\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 9.0, chr-F: 0.246\ntestset: URL, BLEU: 14.0, chr-F: 0.212\ntestset: URL, BLEU: 38.2, chr-F: 0.558\ntestset: URL, BLEU: 21.2, chr-F: 0.364\ntestset: URL, BLEU: 42.3, chr-F: 0.589### System Info:\n\n\n* hf\\_name: nic-eng\n* source\\_languages: nic\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en']\n* src\\_constituents: {'bam\\_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\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: nic\n* tgt\\_alpha3: eng\n* short\\_pair: nic-en\n* chrF2\\_score: 0.377\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 15228.0\n* src\\_name: Niger-Kordofanian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: nic\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: nic-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", "niu", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-niu-de\n\n\n* source languages: niu\n* target languages: de\n* OPUS readme: niu-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: 20.2, chr-F: 0.395" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-de\n\n\n* source languages: niu\n* target languages: de\n* OPUS readme: niu-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: 20.2, chr-F: 0.395" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-de\n\n\n* source languages: niu\n* target languages: de\n* OPUS readme: niu-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: 20.2, chr-F: 0.395" ]

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

[]

[]

[ "### opus-mt-niu-en\n\n\n* source languages: niu\n* target languages: en\n* OPUS readme: niu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.1, chr-F: 0.604" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-en\n\n\n* source languages: niu\n* target languages: en\n* OPUS readme: niu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.1, chr-F: 0.604" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-en\n\n\n* source languages: niu\n* target languages: en\n* OPUS readme: niu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.1, chr-F: 0.604" ]

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

[]

[]

[ "### opus-mt-niu-es\n\n\n* source languages: niu\n* target languages: es\n* OPUS readme: niu-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: 24.2, chr-F: 0.419" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-es\n\n\n* source languages: niu\n* target languages: es\n* OPUS readme: niu-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: 24.2, chr-F: 0.419" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-es\n\n\n* source languages: niu\n* target languages: es\n* OPUS readme: niu-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: 24.2, chr-F: 0.419" ]

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

[]

[]

[ "### opus-mt-niu-fi\n\n\n* source languages: niu\n* target languages: fi\n* OPUS readme: niu-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: 24.8, chr-F: 0.474" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-fi\n\n\n* source languages: niu\n* target languages: fi\n* OPUS readme: niu-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: 24.8, chr-F: 0.474" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-fi\n\n\n* source languages: niu\n* target languages: fi\n* OPUS readme: niu-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: 24.8, chr-F: 0.474" ]

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

[]

[]

[ "### opus-mt-niu-fr\n\n\n* source languages: niu\n* target languages: fr\n* OPUS readme: niu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.1, chr-F: 0.452" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-fr\n\n\n* source languages: niu\n* target languages: fr\n* OPUS readme: niu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.1, chr-F: 0.452" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-fr\n\n\n* source languages: niu\n* target languages: fr\n* OPUS readme: niu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.1, chr-F: 0.452" ]

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

[]

[]

[ "### opus-mt-niu-sv\n\n\n* source languages: niu\n* target languages: sv\n* OPUS readme: niu-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: 29.2, chr-F: 0.478" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-sv\n\n\n* source languages: niu\n* target languages: sv\n* OPUS readme: niu-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: 29.2, chr-F: 0.478" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-sv\n\n\n* source languages: niu\n* target languages: sv\n* OPUS readme: niu-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: 29.2, chr-F: 0.478" ]

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

[]

[ "nl", "af" ]

[ "### nld-afr\n\n\n* source group: Dutch\n* target group: Afrikaans\n* OPUS readme: nld-afr\n* model: transformer-align\n* source language(s): nld\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: 57.8, chr-F: 0.749", "### System Info:\n\n\n* hf\\_name: nld-afr\n* source\\_languages: nld\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'af']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: afr\n* short\\_pair: nl-af\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 6823.0\n* src\\_name: Dutch\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-afr\n\n\n* source group: Dutch\n* target group: Afrikaans\n* OPUS readme: nld-afr\n* model: transformer-align\n* source language(s): nld\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: 57.8, chr-F: 0.749", "### System Info:\n\n\n* hf\\_name: nld-afr\n* source\\_languages: nld\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'af']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: afr\n* short\\_pair: nl-af\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 6823.0\n* src\\_name: Dutch\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: nld-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 137, 406 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-afr\n\n\n* source group: Dutch\n* target group: Afrikaans\n* OPUS readme: nld-afr\n* model: transformer-align\n* source language(s): nld\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: 57.8, chr-F: 0.749### System Info:\n\n\n* hf\\_name: nld-afr\n* source\\_languages: nld\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'af']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: afr\n* short\\_pair: nl-af\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 6823.0\n* src\\_name: Dutch\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: nld-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", "nl", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "nl", "ca" ]

[ "### nld-cat\n\n\n* source group: Dutch\n* target group: Catalan\n* OPUS readme: nld-cat\n* model: transformer-align\n* source language(s): nld\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: 42.1, chr-F: 0.624", "### System Info:\n\n\n* hf\\_name: nld-cat\n* source\\_languages: nld\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'ca']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: cat\n* short\\_pair: nl-ca\n* chrF2\\_score: 0.624\n* bleu: 42.1\n* brevity\\_penalty: 0.988\n* ref\\_len: 3942.0\n* src\\_name: Dutch\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-cat\n\n\n* source group: Dutch\n* target group: Catalan\n* OPUS readme: nld-cat\n* model: transformer-align\n* source language(s): nld\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: 42.1, chr-F: 0.624", "### System Info:\n\n\n* hf\\_name: nld-cat\n* source\\_languages: nld\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'ca']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: cat\n* short\\_pair: nl-ca\n* chrF2\\_score: 0.624\n* bleu: 42.1\n* brevity\\_penalty: 0.988\n* ref\\_len: 3942.0\n* src\\_name: Dutch\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: nld-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 134, 396 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-cat\n\n\n* source group: Dutch\n* target group: Catalan\n* OPUS readme: nld-cat\n* model: transformer-align\n* source language(s): nld\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: 42.1, chr-F: 0.624### System Info:\n\n\n* hf\\_name: nld-cat\n* source\\_languages: nld\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'ca']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: cat\n* short\\_pair: nl-ca\n* chrF2\\_score: 0.624\n* bleu: 42.1\n* brevity\\_penalty: 0.988\n* ref\\_len: 3942.0\n* src\\_name: Dutch\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: nld-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", "rust", "marian", "text2text-generation", "translation", "nl", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-nl-en\n\n\n* source languages: nl\n* target languages: en\n* OPUS readme: nl-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: 60.9, chr-F: 0.749" ]

[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #nl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-en\n\n\n* source languages: nl\n* target languages: en\n* OPUS readme: nl-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: 60.9, chr-F: 0.749" ]

[ 53, 106 ]

[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #nl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-en\n\n\n* source languages: nl\n* target languages: en\n* OPUS readme: nl-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: 60.9, chr-F: 0.749" ]

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

[]

[ "nl", "eo" ]

[ "### nld-epo\n\n\n* source group: Dutch\n* target group: Esperanto\n* OPUS readme: nld-epo\n* model: transformer-align\n* source language(s): nld\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: 16.1, chr-F: 0.355", "### System Info:\n\n\n* hf\\_name: nld-epo\n* source\\_languages: nld\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'eo']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: epo\n* short\\_pair: nl-eo\n* chrF2\\_score: 0.355\n* bleu: 16.1\n* brevity\\_penalty: 0.9359999999999999\n* ref\\_len: 72293.0\n* src\\_name: Dutch\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-epo\n\n\n* source group: Dutch\n* target group: Esperanto\n* OPUS readme: nld-epo\n* model: transformer-align\n* source language(s): nld\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: 16.1, chr-F: 0.355", "### System Info:\n\n\n* hf\\_name: nld-epo\n* source\\_languages: nld\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'eo']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: epo\n* short\\_pair: nl-eo\n* chrF2\\_score: 0.355\n* bleu: 16.1\n* brevity\\_penalty: 0.9359999999999999\n* ref\\_len: 72293.0\n* src\\_name: Dutch\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: nld-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 52, 138, 418 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-epo\n\n\n* source group: Dutch\n* target group: Esperanto\n* OPUS readme: nld-epo\n* model: transformer-align\n* source language(s): nld\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: 16.1, chr-F: 0.355### System Info:\n\n\n* hf\\_name: nld-epo\n* source\\_languages: nld\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'eo']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: epo\n* short\\_pair: nl-eo\n* chrF2\\_score: 0.355\n* bleu: 16.1\n* brevity\\_penalty: 0.9359999999999999\n* ref\\_len: 72293.0\n* src\\_name: Dutch\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: nld-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", "nl", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-nl-es\n\n\n* source languages: nl\n* target languages: es\n* OPUS readme: nl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.6, chr-F: 0.698" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-es\n\n\n* source languages: nl\n* target languages: es\n* OPUS readme: nl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.6, chr-F: 0.698" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-es\n\n\n* source languages: nl\n* target languages: es\n* OPUS readme: nl-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.6, chr-F: 0.698" ]

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

[]

[]

[ "### opus-mt-nl-fi\n\n\n* source languages: nl\n* target languages: fi\n* OPUS readme: nl-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.569" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-fi\n\n\n* source languages: nl\n* target languages: fi\n* OPUS readme: nl-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.569" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-fi\n\n\n* source languages: nl\n* target languages: fi\n* OPUS readme: nl-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.569" ]

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

[]

[]

[ "### opus-mt-nl-fr\n\n\n* source languages: nl\n* target languages: fr\n* OPUS readme: nl-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: 51.3, chr-F: 0.674" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-fr\n\n\n* source languages: nl\n* target languages: fr\n* OPUS readme: nl-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: 51.3, chr-F: 0.674" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-fr\n\n\n* source languages: nl\n* target languages: fr\n* OPUS readme: nl-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: 51.3, chr-F: 0.674" ]

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

[]

[ "nl", "no" ]

[ "### nld-nor\n\n\n* source group: Dutch\n* target group: Norwegian\n* OPUS readme: nld-nor\n* model: transformer-align\n* source language(s): nld\n* target language(s): nob\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: 36.1, chr-F: 0.562", "### System Info:\n\n\n* hf\\_name: nld-nor\n* source\\_languages: nld\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'no']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: nor\n* short\\_pair: nl-no\n* chrF2\\_score: 0.562\n* bleu: 36.1\n* brevity\\_penalty: 0.966\n* ref\\_len: 1459.0\n* src\\_name: Dutch\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-nor\n\n\n* source group: Dutch\n* target group: Norwegian\n* OPUS readme: nld-nor\n* model: transformer-align\n* source language(s): nld\n* target language(s): nob\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: 36.1, chr-F: 0.562", "### System Info:\n\n\n* hf\\_name: nld-nor\n* source\\_languages: nld\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'no']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: nor\n* short\\_pair: nl-no\n* chrF2\\_score: 0.562\n* bleu: 36.1\n* brevity\\_penalty: 0.966\n* ref\\_len: 1459.0\n* src\\_name: Dutch\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nld-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 135, 402 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-nor\n\n\n* source group: Dutch\n* target group: Norwegian\n* OPUS readme: nld-nor\n* model: transformer-align\n* source language(s): nld\n* target language(s): nob\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: 36.1, chr-F: 0.562### System Info:\n\n\n* hf\\_name: nld-nor\n* source\\_languages: nld\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'no']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: nor\n* short\\_pair: nl-no\n* chrF2\\_score: 0.562\n* bleu: 36.1\n* brevity\\_penalty: 0.966\n* ref\\_len: 1459.0\n* src\\_name: Dutch\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nld-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", "nl", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-nl-sv\n\n\n* source languages: nl\n* target languages: sv\n* OPUS readme: nl-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: 25.0, chr-F: 0.518" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-sv\n\n\n* source languages: nl\n* target languages: sv\n* OPUS readme: nl-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: 25.0, chr-F: 0.518" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-sv\n\n\n* source languages: nl\n* target languages: sv\n* OPUS readme: nl-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: 25.0, chr-F: 0.518" ]

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

[]

[ "nl", "uk" ]

[ "### nld-ukr\n\n\n* source group: Dutch\n* target group: Ukrainian\n* OPUS readme: nld-ukr\n* model: transformer-align\n* source language(s): nld\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: 40.8, chr-F: 0.619", "### System Info:\n\n\n* hf\\_name: nld-ukr\n* source\\_languages: nld\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'uk']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: ukr\n* short\\_pair: nl-uk\n* chrF2\\_score: 0.619\n* bleu: 40.8\n* brevity\\_penalty: 0.992\n* ref\\_len: 51674.0\n* src\\_name: Dutch\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-ukr\n\n\n* source group: Dutch\n* target group: Ukrainian\n* OPUS readme: nld-ukr\n* model: transformer-align\n* source language(s): nld\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: 40.8, chr-F: 0.619", "### System Info:\n\n\n* hf\\_name: nld-ukr\n* source\\_languages: nld\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'uk']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: ukr\n* short\\_pair: nl-uk\n* chrF2\\_score: 0.619\n* bleu: 40.8\n* brevity\\_penalty: 0.992\n* ref\\_len: 51674.0\n* src\\_name: Dutch\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nld-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 137, 403 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-ukr\n\n\n* source group: Dutch\n* target group: Ukrainian\n* OPUS readme: nld-ukr\n* model: transformer-align\n* source language(s): nld\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: 40.8, chr-F: 0.619### System Info:\n\n\n* hf\\_name: nld-ukr\n* source\\_languages: nld\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'uk']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: ukr\n* short\\_pair: nl-uk\n* chrF2\\_score: 0.619\n* bleu: 40.8\n* brevity\\_penalty: 0.992\n* ref\\_len: 51674.0\n* src\\_name: Dutch\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nld-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", "no", "da", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "da" ]

[ "### nor-dan\n\n\n* source group: Norwegian\n* target group: Danish\n* OPUS readme: nor-dan\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): dan\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: 65.0, chr-F: 0.792", "### System Info:\n\n\n* hf\\_name: nor-dan\n* source\\_languages: nor\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'da']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'dan'}\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: nor\n* tgt\\_alpha3: dan\n* short\\_pair: no-da\n* chrF2\\_score: 0.792\n* bleu: 65.0\n* brevity\\_penalty: 0.995\n* ref\\_len: 9865.0\n* src\\_name: Norwegian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: nor-dan\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 #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-dan\n\n\n* source group: Norwegian\n* target group: Danish\n* OPUS readme: nor-dan\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): dan\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: 65.0, chr-F: 0.792", "### System Info:\n\n\n* hf\\_name: nor-dan\n* source\\_languages: nor\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'da']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'dan'}\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: nor\n* tgt\\_alpha3: dan\n* short\\_pair: no-da\n* chrF2\\_score: 0.792\n* bleu: 65.0\n* brevity\\_penalty: 0.995\n* ref\\_len: 9865.0\n* src\\_name: Norwegian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: nor-dan\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 134, 397 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-dan\n\n\n* source group: Norwegian\n* target group: Danish\n* OPUS readme: nor-dan\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): dan\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: 65.0, chr-F: 0.792### System Info:\n\n\n* hf\\_name: nor-dan\n* source\\_languages: nor\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'da']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'dan'}\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: nor\n* tgt\\_alpha3: dan\n* short\\_pair: no-da\n* chrF2\\_score: 0.792\n* bleu: 65.0\n* brevity\\_penalty: 0.995\n* ref\\_len: 9865.0\n* src\\_name: Norwegian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: nor-dan\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", "no", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "de" ]

[ "### nor-deu\n\n\n* source group: Norwegian\n* target group: German\n* OPUS readme: nor-deu\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.541", "### System Info:\n\n\n* hf\\_name: nor-deu\n* source\\_languages: nor\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'de']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'deu'}\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: nor\n* tgt\\_alpha3: deu\n* short\\_pair: no-de\n* chrF2\\_score: 0.541\n* bleu: 29.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 34575.0\n* src\\_name: Norwegian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: nor-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-deu\n\n\n* source group: Norwegian\n* target group: German\n* OPUS readme: nor-deu\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.541", "### System Info:\n\n\n* hf\\_name: nor-deu\n* source\\_languages: nor\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'de']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'deu'}\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: nor\n* tgt\\_alpha3: deu\n* short\\_pair: no-de\n* chrF2\\_score: 0.541\n* bleu: 29.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 34575.0\n* src\\_name: Norwegian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: nor-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 137, 401 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-deu\n\n\n* source group: Norwegian\n* target group: German\n* OPUS readme: nor-deu\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.541### System Info:\n\n\n* hf\\_name: nor-deu\n* source\\_languages: nor\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'de']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'deu'}\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: nor\n* tgt\\_alpha3: deu\n* short\\_pair: no-de\n* chrF2\\_score: 0.541\n* bleu: 29.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 34575.0\n* src\\_name: Norwegian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: nor-deu\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", "no", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "es" ]

[ "### nor-spa\n\n\n* source group: Norwegian\n* target group: Spanish\n* OPUS readme: nor-spa\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): spa\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: 34.2, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: nor-spa\n* source\\_languages: nor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'es']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'spa'}\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: nor\n* tgt\\_alpha3: spa\n* short\\_pair: no-es\n* chrF2\\_score: 0.565\n* bleu: 34.2\n* brevity\\_penalty: 0.997\n* ref\\_len: 7311.0\n* src\\_name: Norwegian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: nor-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-spa\n\n\n* source group: Norwegian\n* target group: Spanish\n* OPUS readme: nor-spa\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): spa\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: 34.2, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: nor-spa\n* source\\_languages: nor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'es']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'spa'}\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: nor\n* tgt\\_alpha3: spa\n* short\\_pair: no-es\n* chrF2\\_score: 0.565\n* bleu: 34.2\n* brevity\\_penalty: 0.997\n* ref\\_len: 7311.0\n* src\\_name: Norwegian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: nor-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 134, 397 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-spa\n\n\n* source group: Norwegian\n* target group: Spanish\n* OPUS readme: nor-spa\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): spa\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: 34.2, chr-F: 0.565### System Info:\n\n\n* hf\\_name: nor-spa\n* source\\_languages: nor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'es']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'spa'}\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: nor\n* tgt\\_alpha3: spa\n* short\\_pair: no-es\n* chrF2\\_score: 0.565\n* bleu: 34.2\n* brevity\\_penalty: 0.997\n* ref\\_len: 7311.0\n* src\\_name: Norwegian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: nor-spa\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", "no", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "fi" ]

[ "### nor-fin\n\n\n* source group: Norwegian\n* target group: Finnish\n* OPUS readme: nor-fin\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fin\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: 14.1, chr-F: 0.374", "### System Info:\n\n\n* hf\\_name: nor-fin\n* source\\_languages: nor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fi']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fin'}\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: nor\n* tgt\\_alpha3: fin\n* short\\_pair: no-fi\n* chrF2\\_score: 0.374\n* bleu: 14.1\n* brevity\\_penalty: 0.894\n* ref\\_len: 13066.0\n* src\\_name: Norwegian\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: nor-fin\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 #no #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-fin\n\n\n* source group: Norwegian\n* target group: Finnish\n* OPUS readme: nor-fin\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fin\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: 14.1, chr-F: 0.374", "### System Info:\n\n\n* hf\\_name: nor-fin\n* source\\_languages: nor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fi']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fin'}\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: nor\n* tgt\\_alpha3: fin\n* short\\_pair: no-fi\n* chrF2\\_score: 0.374\n* bleu: 14.1\n* brevity\\_penalty: 0.894\n* ref\\_len: 13066.0\n* src\\_name: Norwegian\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: nor-fin\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 134, 397 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-fin\n\n\n* source group: Norwegian\n* target group: Finnish\n* OPUS readme: nor-fin\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fin\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: 14.1, chr-F: 0.374### System Info:\n\n\n* hf\\_name: nor-fin\n* source\\_languages: nor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fi']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fin'}\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: nor\n* tgt\\_alpha3: fin\n* short\\_pair: no-fi\n* chrF2\\_score: 0.374\n* bleu: 14.1\n* brevity\\_penalty: 0.894\n* ref\\_len: 13066.0\n* src\\_name: Norwegian\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: nor-fin\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", "no", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "fr" ]

[ "### nor-fra\n\n\n* source group: Norwegian\n* target group: French\n* OPUS readme: nor-fra\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fra\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: 39.1, chr-F: 0.578", "### System Info:\n\n\n* hf\\_name: nor-fra\n* source\\_languages: nor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fr']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fra'}\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: nor\n* tgt\\_alpha3: fra\n* short\\_pair: no-fr\n* chrF2\\_score: 0.578\n* bleu: 39.1\n* brevity\\_penalty: 0.987\n* ref\\_len: 3205.0\n* src\\_name: Norwegian\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: nor-fra\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 #no #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-fra\n\n\n* source group: Norwegian\n* target group: French\n* OPUS readme: nor-fra\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fra\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: 39.1, chr-F: 0.578", "### System Info:\n\n\n* hf\\_name: nor-fra\n* source\\_languages: nor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fr']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fra'}\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: nor\n* tgt\\_alpha3: fra\n* short\\_pair: no-fr\n* chrF2\\_score: 0.578\n* bleu: 39.1\n* brevity\\_penalty: 0.987\n* ref\\_len: 3205.0\n* src\\_name: Norwegian\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: nor-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 134, 397 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-fra\n\n\n* source group: Norwegian\n* target group: French\n* OPUS readme: nor-fra\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fra\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: 39.1, chr-F: 0.578### System Info:\n\n\n* hf\\_name: nor-fra\n* source\\_languages: nor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fr']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fra'}\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: nor\n* tgt\\_alpha3: fra\n* short\\_pair: no-fr\n* chrF2\\_score: 0.578\n* bleu: 39.1\n* brevity\\_penalty: 0.987\n* ref\\_len: 3205.0\n* src\\_name: Norwegian\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: nor-fra\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", "no", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "nl" ]

[ "### nor-nld\n\n\n* source group: Norwegian\n* target group: Dutch\n* OPUS readme: nor-nld\n* model: transformer-align\n* source language(s): nob\n* target language(s): nld\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: 40.2, chr-F: 0.596", "### System Info:\n\n\n* hf\\_name: nor-nld\n* source\\_languages: nor\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'nl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nld'}\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: nor\n* tgt\\_alpha3: nld\n* short\\_pair: no-nl\n* chrF2\\_score: 0.596\n* bleu: 40.2\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1535.0\n* src\\_name: Norwegian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: nor-nld\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 #no #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-nld\n\n\n* source group: Norwegian\n* target group: Dutch\n* OPUS readme: nor-nld\n* model: transformer-align\n* source language(s): nob\n* target language(s): nld\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: 40.2, chr-F: 0.596", "### System Info:\n\n\n* hf\\_name: nor-nld\n* source\\_languages: nor\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'nl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nld'}\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: nor\n* tgt\\_alpha3: nld\n* short\\_pair: no-nl\n* chrF2\\_score: 0.596\n* bleu: 40.2\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1535.0\n* src\\_name: Norwegian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: nor-nld\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 135, 408 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-nld\n\n\n* source group: Norwegian\n* target group: Dutch\n* OPUS readme: nor-nld\n* model: transformer-align\n* source language(s): nob\n* target language(s): nld\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: 40.2, chr-F: 0.596### System Info:\n\n\n* hf\\_name: nor-nld\n* source\\_languages: nor\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'nl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nld'}\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: nor\n* tgt\\_alpha3: nld\n* short\\_pair: no-nl\n* chrF2\\_score: 0.596\n* bleu: 40.2\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1535.0\n* src\\_name: Norwegian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: nor-nld\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", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no" ]

[ "### nor-nor\n\n\n* source group: Norwegian\n* target group: Norwegian\n* OPUS readme: nor-nor\n* model: transformer-align\n* source language(s): nno nob\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: 58.4, chr-F: 0.784", "### System Info:\n\n\n* hf\\_name: nor-nor\n* source\\_languages: nor\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no']\n* src\\_constituents: {'nob', 'nno'}\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: nor\n* tgt\\_alpha3: nor\n* short\\_pair: no-no\n* chrF2\\_score: 0.784\n* bleu: 58.4\n* brevity\\_penalty: 0.988\n* ref\\_len: 6351.0\n* src\\_name: Norwegian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-nor\n\n\n* source group: Norwegian\n* target group: Norwegian\n* OPUS readme: nor-nor\n* model: transformer-align\n* source language(s): nno nob\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: 58.4, chr-F: 0.784", "### System Info:\n\n\n* hf\\_name: nor-nor\n* source\\_languages: nor\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no']\n* src\\_constituents: {'nob', 'nno'}\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: nor\n* tgt\\_alpha3: nor\n* short\\_pair: no-no\n* chrF2\\_score: 0.784\n* bleu: 58.4\n* brevity\\_penalty: 0.988\n* ref\\_len: 6351.0\n* src\\_name: Norwegian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nor-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 49, 164, 399 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-nor\n\n\n* source group: Norwegian\n* target group: Norwegian\n* OPUS readme: nor-nor\n* model: transformer-align\n* source language(s): nno nob\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: 58.4, chr-F: 0.784### System Info:\n\n\n* hf\\_name: nor-nor\n* source\\_languages: nor\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no']\n* src\\_constituents: {'nob', 'nno'}\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: nor\n* tgt\\_alpha3: nor\n* short\\_pair: no-no\n* chrF2\\_score: 0.784\n* bleu: 58.4\n* brevity\\_penalty: 0.988\n* ref\\_len: 6351.0\n* src\\_name: Norwegian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nor-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", "no", "pl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "pl" ]

[ "### nor-pol\n\n\n* source group: Norwegian\n* target group: Polish\n* OPUS readme: nor-pol\n* model: transformer-align\n* source language(s): nob\n* target language(s): pol\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: 20.9, chr-F: 0.455", "### System Info:\n\n\n* hf\\_name: nor-pol\n* source\\_languages: nor\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'pl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'pol'}\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: nor\n* tgt\\_alpha3: pol\n* short\\_pair: no-pl\n* chrF2\\_score: 0.455\n* bleu: 20.9\n* brevity\\_penalty: 0.941\n* ref\\_len: 1828.0\n* src\\_name: Norwegian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: nor-pol\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 #no #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-pol\n\n\n* source group: Norwegian\n* target group: Polish\n* OPUS readme: nor-pol\n* model: transformer-align\n* source language(s): nob\n* target language(s): pol\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: 20.9, chr-F: 0.455", "### System Info:\n\n\n* hf\\_name: nor-pol\n* source\\_languages: nor\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'pl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'pol'}\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: nor\n* tgt\\_alpha3: pol\n* short\\_pair: no-pl\n* chrF2\\_score: 0.455\n* bleu: 20.9\n* brevity\\_penalty: 0.941\n* ref\\_len: 1828.0\n* src\\_name: Norwegian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: nor-pol\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 132, 396 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-pol\n\n\n* source group: Norwegian\n* target group: Polish\n* OPUS readme: nor-pol\n* model: transformer-align\n* source language(s): nob\n* target language(s): pol\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: 20.9, chr-F: 0.455### System Info:\n\n\n* hf\\_name: nor-pol\n* source\\_languages: nor\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'pl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'pol'}\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: nor\n* tgt\\_alpha3: pol\n* short\\_pair: no-pl\n* chrF2\\_score: 0.455\n* bleu: 20.9\n* brevity\\_penalty: 0.941\n* ref\\_len: 1828.0\n* src\\_name: Norwegian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: nor-pol\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", "no", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "ru" ]

[ "### nor-rus\n\n\n* source group: Norwegian\n* target group: Russian\n* OPUS readme: nor-rus\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.6, chr-F: 0.400", "### System Info:\n\n\n* hf\\_name: nor-rus\n* source\\_languages: nor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'ru']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: nor\n* tgt\\_alpha3: rus\n* short\\_pair: no-ru\n* chrF2\\_score: 0.4\n* bleu: 18.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 10671.0\n* src\\_name: Norwegian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-rus\n\n\n* source group: Norwegian\n* target group: Russian\n* OPUS readme: nor-rus\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.6, chr-F: 0.400", "### System Info:\n\n\n* hf\\_name: nor-rus\n* source\\_languages: nor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'ru']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: nor\n* tgt\\_alpha3: rus\n* short\\_pair: no-ru\n* chrF2\\_score: 0.4\n* bleu: 18.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 10671.0\n* src\\_name: Norwegian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: nor-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 133, 397 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-rus\n\n\n* source group: Norwegian\n* target group: Russian\n* OPUS readme: nor-rus\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 18.6, chr-F: 0.400### System Info:\n\n\n* hf\\_name: nor-rus\n* source\\_languages: nor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'ru']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: nor\n* tgt\\_alpha3: rus\n* short\\_pair: no-ru\n* chrF2\\_score: 0.4\n* bleu: 18.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 10671.0\n* src\\_name: Norwegian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: nor-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", "no", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "sv" ]

[ "### nor-swe\n\n\n* source group: Norwegian\n* target group: Swedish\n* OPUS readme: nor-swe\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): swe\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: 63.7, chr-F: 0.773", "### System Info:\n\n\n* hf\\_name: nor-swe\n* source\\_languages: nor\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'sv']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'swe'}\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: nor\n* tgt\\_alpha3: swe\n* short\\_pair: no-sv\n* chrF2\\_score: 0.773\n* bleu: 63.7\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 3672.0\n* src\\_name: Norwegian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: nor-swe\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 #no #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-swe\n\n\n* source group: Norwegian\n* target group: Swedish\n* OPUS readme: nor-swe\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): swe\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: 63.7, chr-F: 0.773", "### System Info:\n\n\n* hf\\_name: nor-swe\n* source\\_languages: nor\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'sv']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'swe'}\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: nor\n* tgt\\_alpha3: swe\n* short\\_pair: no-sv\n* chrF2\\_score: 0.773\n* bleu: 63.7\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 3672.0\n* src\\_name: Norwegian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: nor-swe\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 137, 409 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-swe\n\n\n* source group: Norwegian\n* target group: Swedish\n* OPUS readme: nor-swe\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): swe\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: 63.7, chr-F: 0.773### System Info:\n\n\n* hf\\_name: nor-swe\n* source\\_languages: nor\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'sv']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'swe'}\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: nor\n* tgt\\_alpha3: swe\n* short\\_pair: no-sv\n* chrF2\\_score: 0.773\n* bleu: 63.7\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 3672.0\n* src\\_name: Norwegian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: nor-swe\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", "no", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "no", "uk" ]

[ "### nor-ukr\n\n\n* source group: Norwegian\n* target group: Ukrainian\n* OPUS readme: nor-ukr\n* model: transformer-align\n* source language(s): nob\n* target language(s): ukr\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: 16.6, chr-F: 0.384", "### System Info:\n\n\n* hf\\_name: nor-ukr\n* source\\_languages: nor\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'uk']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'ukr'}\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: nor\n* tgt\\_alpha3: ukr\n* short\\_pair: no-uk\n* chrF2\\_score: 0.384\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3982.0\n* src\\_name: Norwegian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-ukr\n\n\n* source group: Norwegian\n* target group: Ukrainian\n* OPUS readme: nor-ukr\n* model: transformer-align\n* source language(s): nob\n* target language(s): ukr\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: 16.6, chr-F: 0.384", "### System Info:\n\n\n* hf\\_name: nor-ukr\n* source\\_languages: nor\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'uk']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'ukr'}\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: nor\n* tgt\\_alpha3: ukr\n* short\\_pair: no-uk\n* chrF2\\_score: 0.384\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3982.0\n* src\\_name: Norwegian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nor-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 135, 402 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-ukr\n\n\n* source group: Norwegian\n* target group: Ukrainian\n* OPUS readme: nor-ukr\n* model: transformer-align\n* source language(s): nob\n* target language(s): ukr\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: 16.6, chr-F: 0.384### System Info:\n\n\n* hf\\_name: nor-ukr\n* source\\_languages: nor\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'uk']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'ukr'}\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: nor\n* tgt\\_alpha3: ukr\n* short\\_pair: no-uk\n* chrF2\\_score: 0.384\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3982.0\n* src\\_name: Norwegian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nor-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", "nso", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-nso-de\n\n\n* source languages: nso\n* target languages: de\n* OPUS readme: nso-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: 24.7, chr-F: 0.461" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-de\n\n\n* source languages: nso\n* target languages: de\n* OPUS readme: nso-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: 24.7, chr-F: 0.461" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-de\n\n\n* source languages: nso\n* target languages: de\n* OPUS readme: nso-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: 24.7, chr-F: 0.461" ]

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

[]

[]

[ "### opus-mt-nso-en\n\n\n* source languages: nso\n* target languages: en\n* OPUS readme: nso-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: 48.6, chr-F: 0.634" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-en\n\n\n* source languages: nso\n* target languages: en\n* OPUS readme: nso-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: 48.6, chr-F: 0.634" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-en\n\n\n* source languages: nso\n* target languages: en\n* OPUS readme: nso-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: 48.6, chr-F: 0.634" ]

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

[]

[]

[ "### opus-mt-nso-es\n\n\n* source languages: nso\n* target languages: es\n* OPUS readme: nso-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: 29.5, chr-F: 0.485" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-es\n\n\n* source languages: nso\n* target languages: es\n* OPUS readme: nso-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: 29.5, chr-F: 0.485" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-es\n\n\n* source languages: nso\n* target languages: es\n* OPUS readme: nso-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: 29.5, chr-F: 0.485" ]

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

[]

[]

[ "### opus-mt-nso-fi\n\n\n* source languages: nso\n* target languages: fi\n* OPUS readme: nso-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: 27.8, chr-F: 0.523" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-fi\n\n\n* source languages: nso\n* target languages: fi\n* OPUS readme: nso-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: 27.8, chr-F: 0.523" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-fi\n\n\n* source languages: nso\n* target languages: fi\n* OPUS readme: nso-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: 27.8, chr-F: 0.523" ]

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

[]

[]

[ "### opus-mt-nso-fr\n\n\n* source languages: nso\n* target languages: fr\n* OPUS readme: nso-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.488" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-fr\n\n\n* source languages: nso\n* target languages: fr\n* OPUS readme: nso-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.488" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-fr\n\n\n* source languages: nso\n* target languages: fr\n* OPUS readme: nso-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.488" ]

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

[]

[]

[ "### opus-mt-nso-sv\n\n\n* source languages: nso\n* target languages: sv\n* OPUS readme: nso-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: 34.3, chr-F: 0.527" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-sv\n\n\n* source languages: nso\n* target languages: sv\n* OPUS readme: nso-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: 34.3, chr-F: 0.527" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-sv\n\n\n* source languages: nso\n* target languages: sv\n* OPUS readme: nso-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: 34.3, chr-F: 0.527" ]

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

[]

[]

[ "### opus-mt-ny-de\n\n\n* source languages: ny\n* target languages: de\n* OPUS readme: ny-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: 23.9, chr-F: 0.440" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ny-de\n\n\n* source languages: ny\n* target languages: de\n* OPUS readme: ny-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: 23.9, chr-F: 0.440" ]

[ 51, 105 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ny-de\n\n\n* source languages: ny\n* target languages: de\n* OPUS readme: ny-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: 23.9, chr-F: 0.440" ]

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

[]

[]

[ "### opus-mt-ny-en\n\n\n* source languages: ny\n* target languages: en\n* OPUS readme: ny-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: 39.7, chr-F: 0.547\ntestset: URL, BLEU: 44.2, chr-F: 0.562" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ny-en\n\n\n* source languages: ny\n* target languages: en\n* OPUS readme: ny-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: 39.7, chr-F: 0.547\ntestset: URL, BLEU: 44.2, chr-F: 0.562" ]

[ 51, 129 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ny-en\n\n\n* source languages: ny\n* target languages: en\n* OPUS readme: ny-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: 39.7, chr-F: 0.547\ntestset: URL, BLEU: 44.2, chr-F: 0.562" ]

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

[]

[]

[ "### opus-mt-ny-es\n\n\n* source languages: ny\n* target languages: es\n* OPUS readme: ny-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.457" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ny-es\n\n\n* source languages: ny\n* target languages: es\n* OPUS readme: ny-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.457" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ny-es\n\n\n* source languages: ny\n* target languages: es\n* OPUS readme: ny-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.457" ]

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

[]

[]

[ "### opus-mt-nyk-en\n\n\n* source languages: nyk\n* target languages: en\n* OPUS readme: nyk-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: 27.3, chr-F: 0.423" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nyk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nyk-en\n\n\n* source languages: nyk\n* target languages: en\n* OPUS readme: nyk-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: 27.3, chr-F: 0.423" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nyk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nyk-en\n\n\n* source languages: nyk\n* target languages: en\n* OPUS readme: nyk-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: 27.3, chr-F: 0.423" ]

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

[]

[]

[ "### opus-mt-om-en\n\n\n* source languages: om\n* target languages: en\n* OPUS readme: om-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: 27.3, chr-F: 0.448" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #om #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-om-en\n\n\n* source languages: om\n* target languages: en\n* OPUS readme: om-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: 27.3, chr-F: 0.448" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #om #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-om-en\n\n\n* source languages: om\n* target languages: en\n* OPUS readme: om-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: 27.3, chr-F: 0.448" ]

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

[]

[]

[ "### opus-mt-pa-en\n\n\n* source languages: pa\n* target languages: en\n* OPUS readme: pa-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: 20.6, chr-F: 0.320\ntestset: URL, BLEU: 29.3, chr-F: 0.464" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pa-en\n\n\n* source languages: pa\n* target languages: en\n* OPUS readme: pa-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: 20.6, chr-F: 0.320\ntestset: URL, BLEU: 29.3, chr-F: 0.464" ]

[ 51, 128 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pa-en\n\n\n* source languages: pa\n* target languages: en\n* OPUS readme: pa-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: 20.6, chr-F: 0.320\ntestset: URL, BLEU: 29.3, chr-F: 0.464" ]

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

[]

[]

[ "### opus-mt-pag-de\n\n\n* source languages: pag\n* target languages: de\n* OPUS readme: pag-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: 22.8, chr-F: 0.435" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-de\n\n\n* source languages: pag\n* target languages: de\n* OPUS readme: pag-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: 22.8, chr-F: 0.435" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-de\n\n\n* source languages: pag\n* target languages: de\n* OPUS readme: pag-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: 22.8, chr-F: 0.435" ]

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

[]

[]

[ "### opus-mt-pag-en\n\n\n* source languages: pag\n* target languages: en\n* OPUS readme: pag-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: 42.4, chr-F: 0.580" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-en\n\n\n* source languages: pag\n* target languages: en\n* OPUS readme: pag-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: 42.4, chr-F: 0.580" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-en\n\n\n* source languages: pag\n* target languages: en\n* OPUS readme: pag-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: 42.4, chr-F: 0.580" ]

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

[]

[]

[ "### opus-mt-pag-es\n\n\n* source languages: pag\n* target languages: es\n* OPUS readme: pag-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.459" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-es\n\n\n* source languages: pag\n* target languages: es\n* OPUS readme: pag-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.459" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-es\n\n\n* source languages: pag\n* target languages: es\n* OPUS readme: pag-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.459" ]

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

[]

[]

[ "### opus-mt-pag-fi\n\n\n* source languages: pag\n* target languages: fi\n* OPUS readme: pag-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.496" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-fi\n\n\n* source languages: pag\n* target languages: fi\n* OPUS readme: pag-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.496" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-fi\n\n\n* source languages: pag\n* target languages: fi\n* OPUS readme: pag-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.496" ]

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

[]

[]

[ "### opus-mt-pag-sv\n\n\n* source languages: pag\n* target languages: sv\n* OPUS readme: pag-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: 29.8, chr-F: 0.492" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-sv\n\n\n* source languages: pag\n* target languages: sv\n* OPUS readme: pag-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: 29.8, chr-F: 0.492" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-sv\n\n\n* source languages: pag\n* target languages: sv\n* OPUS readme: pag-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: 29.8, chr-F: 0.492" ]

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

[]

[]

[ "### opus-mt-pap-de\n\n\n* source languages: pap\n* target languages: de\n* OPUS readme: pap-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: 25.0, chr-F: 0.466" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-de\n\n\n* source languages: pap\n* target languages: de\n* OPUS readme: pap-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: 25.0, chr-F: 0.466" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-de\n\n\n* source languages: pap\n* target languages: de\n* OPUS readme: pap-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: 25.0, chr-F: 0.466" ]

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

[]

[]

[ "### opus-mt-pap-en\n\n\n* source languages: pap\n* target languages: en\n* OPUS readme: pap-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: 47.3, chr-F: 0.634\ntestset: URL, BLEU: 63.2, chr-F: 0.684" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-en\n\n\n* source languages: pap\n* target languages: en\n* OPUS readme: pap-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: 47.3, chr-F: 0.634\ntestset: URL, BLEU: 63.2, chr-F: 0.684" ]

[ 52, 132 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-en\n\n\n* source languages: pap\n* target languages: en\n* OPUS readme: pap-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: 47.3, chr-F: 0.634\ntestset: URL, BLEU: 63.2, chr-F: 0.684" ]

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

[]

[]

[ "### opus-mt-pap-es\n\n\n* source languages: pap\n* target languages: es\n* OPUS readme: pap-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: 32.3, chr-F: 0.518" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-es\n\n\n* source languages: pap\n* target languages: es\n* OPUS readme: pap-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: 32.3, chr-F: 0.518" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-es\n\n\n* source languages: pap\n* target languages: es\n* OPUS readme: pap-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: 32.3, chr-F: 0.518" ]

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

[]

[]

[ "### opus-mt-pap-fi\n\n\n* source languages: pap\n* target languages: fi\n* OPUS readme: pap-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: 27.7, chr-F: 0.520" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-fi\n\n\n* source languages: pap\n* target languages: fi\n* OPUS readme: pap-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: 27.7, chr-F: 0.520" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-fi\n\n\n* source languages: pap\n* target languages: fi\n* OPUS readme: pap-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: 27.7, chr-F: 0.520" ]

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

[]

[]

[ "### opus-mt-pap-fr\n\n\n* source languages: pap\n* target languages: fr\n* OPUS readme: pap-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: 31.0, chr-F: 0.498" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-fr\n\n\n* source languages: pap\n* target languages: fr\n* OPUS readme: pap-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: 31.0, chr-F: 0.498" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-fr\n\n\n* source languages: pap\n* target languages: fr\n* OPUS readme: pap-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: 31.0, chr-F: 0.498" ]

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

[]

[ "phi", "en" ]

[ "### phi-eng\n\n\n* source group: Philippine languages\n* target group: English\n* OPUS readme: phi-eng\n* model: transformer\n* source language(s): akl\\_Latn ceb hil ilo pag war\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: 11.6, chr-F: 0.321\ntestset: URL, BLEU: 21.7, chr-F: 0.393\ntestset: URL, BLEU: 17.6, chr-F: 0.371\ntestset: URL, BLEU: 36.6, chr-F: 0.560\ntestset: URL, BLEU: 21.5, chr-F: 0.391\ntestset: URL, BLEU: 27.5, chr-F: 0.494\ntestset: URL, BLEU: 17.3, chr-F: 0.380", "### System Info:\n\n\n* hf\\_name: phi-eng\n* source\\_languages: phi\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['phi', 'en']\n* src\\_constituents: {'ilo', 'akl\\_Latn', 'war', 'hil', 'pag', 'ceb'}\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: phi\n* tgt\\_alpha3: eng\n* short\\_pair: phi-en\n* chrF2\\_score: 0.391\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2380.0\n* src\\_name: Philippine languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: phi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: phi-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 #phi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### phi-eng\n\n\n* source group: Philippine languages\n* target group: English\n* OPUS readme: phi-eng\n* model: transformer\n* source language(s): akl\\_Latn ceb hil ilo pag war\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: 11.6, chr-F: 0.321\ntestset: URL, BLEU: 21.7, chr-F: 0.393\ntestset: URL, BLEU: 17.6, chr-F: 0.371\ntestset: URL, BLEU: 36.6, chr-F: 0.560\ntestset: URL, BLEU: 21.5, chr-F: 0.391\ntestset: URL, BLEU: 27.5, chr-F: 0.494\ntestset: URL, BLEU: 17.3, chr-F: 0.380", "### System Info:\n\n\n* hf\\_name: phi-eng\n* source\\_languages: phi\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['phi', 'en']\n* src\\_constituents: {'ilo', 'akl\\_Latn', 'war', 'hil', 'pag', 'ceb'}\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: phi\n* tgt\\_alpha3: eng\n* short\\_pair: phi-en\n* chrF2\\_score: 0.391\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2380.0\n* src\\_name: Philippine languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: phi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: phi-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 278, 421 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #phi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### phi-eng\n\n\n* source group: Philippine languages\n* target group: English\n* OPUS readme: phi-eng\n* model: transformer\n* source language(s): akl\\_Latn ceb hil ilo pag war\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: 11.6, chr-F: 0.321\ntestset: URL, BLEU: 21.7, chr-F: 0.393\ntestset: URL, BLEU: 17.6, chr-F: 0.371\ntestset: URL, BLEU: 36.6, chr-F: 0.560\ntestset: URL, BLEU: 21.5, chr-F: 0.391\ntestset: URL, BLEU: 27.5, chr-F: 0.494\ntestset: URL, BLEU: 17.3, chr-F: 0.380### System Info:\n\n\n* hf\\_name: phi-eng\n* source\\_languages: phi\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['phi', 'en']\n* src\\_constituents: {'ilo', 'akl\\_Latn', 'war', 'hil', 'pag', 'ceb'}\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: phi\n* tgt\\_alpha3: eng\n* short\\_pair: phi-en\n* chrF2\\_score: 0.391\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2380.0\n* src\\_name: Philippine languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: phi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: phi-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", "pis", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-pis-en\n\n\n* source languages: pis\n* target languages: en\n* OPUS readme: pis-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: 33.3, chr-F: 0.493" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-en\n\n\n* source languages: pis\n* target languages: en\n* OPUS readme: pis-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: 33.3, chr-F: 0.493" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-en\n\n\n* source languages: pis\n* target languages: en\n* OPUS readme: pis-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: 33.3, chr-F: 0.493" ]

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

[]

[]

[ "### opus-mt-pis-es\n\n\n* source languages: pis\n* target languages: es\n* OPUS readme: pis-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: 24.1, chr-F: 0.421" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-es\n\n\n* source languages: pis\n* target languages: es\n* OPUS readme: pis-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: 24.1, chr-F: 0.421" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-es\n\n\n* source languages: pis\n* target languages: es\n* OPUS readme: pis-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: 24.1, chr-F: 0.421" ]

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

[]

[]

[ "### opus-mt-pis-fi\n\n\n* source languages: pis\n* target languages: fi\n* OPUS readme: pis-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: 21.8, chr-F: 0.439" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-fi\n\n\n* source languages: pis\n* target languages: fi\n* OPUS readme: pis-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: 21.8, chr-F: 0.439" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-fi\n\n\n* source languages: pis\n* target languages: fi\n* OPUS readme: pis-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: 21.8, chr-F: 0.439" ]

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

[]

[]

[ "### opus-mt-pis-fr\n\n\n* source languages: pis\n* target languages: fr\n* OPUS readme: pis-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.421" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-fr\n\n\n* source languages: pis\n* target languages: fr\n* OPUS readme: pis-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.421" ]

[ 52, 108 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-fr\n\n\n* source languages: pis\n* target languages: fr\n* OPUS readme: pis-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.421" ]

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

[]

[]

[ "### opus-mt-pis-sv\n\n\n* source languages: pis\n* target languages: sv\n* OPUS readme: pis-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: 25.9, chr-F: 0.442" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-sv\n\n\n* source languages: pis\n* target languages: sv\n* OPUS readme: pis-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: 25.9, chr-F: 0.442" ]

[ 52, 109 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-sv\n\n\n* source languages: pis\n* target languages: sv\n* OPUS readme: pis-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: 25.9, chr-F: 0.442" ]

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

[]

[ "pl", "ar" ]

[ "### pol-ara\n\n\n* source group: Polish\n* target group: Arabic\n* OPUS readme: pol-ara\n* model: transformer\n* source language(s): pol\n* target language(s): ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.491", "### System Info:\n\n\n* hf\\_name: pol-ara\n* source\\_languages: pol\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'ar']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ara\n* short\\_pair: pl-ar\n* chrF2\\_score: 0.491\n* bleu: 20.4\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1028.0\n* src\\_name: Polish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: pl\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: pol-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 #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pol-ara\n\n\n* source group: Polish\n* target group: Arabic\n* OPUS readme: pol-ara\n* model: transformer\n* source language(s): pol\n* target language(s): ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.491", "### System Info:\n\n\n* hf\\_name: pol-ara\n* source\\_languages: pol\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'ar']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ara\n* short\\_pair: pl-ar\n* chrF2\\_score: 0.491\n* bleu: 20.4\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1028.0\n* src\\_name: Polish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: pl\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: pol-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 156, 445 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pol-ara\n\n\n* source group: Polish\n* target group: Arabic\n* OPUS readme: pol-ara\n* model: transformer\n* source language(s): pol\n* target language(s): ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.4, chr-F: 0.491### System Info:\n\n\n* hf\\_name: pol-ara\n* source\\_languages: pol\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'ar']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ara\n* short\\_pair: pl-ar\n* chrF2\\_score: 0.491\n* bleu: 20.4\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1028.0\n* src\\_name: Polish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: pl\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: pol-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", "pl", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-pl-de\n\n\n* source languages: pl\n* target languages: de\n* OPUS readme: pl-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: 47.8, chr-F: 0.665" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pl-de\n\n\n* source languages: pl\n* target languages: de\n* OPUS readme: pl-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: 47.8, chr-F: 0.665" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pl-de\n\n\n* source languages: pl\n* target languages: de\n* OPUS readme: pl-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: 47.8, chr-F: 0.665" ]

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

[]

[]

[ "### opus-mt-pl-en\n\n\n* source languages: pl\n* target languages: en\n* OPUS readme: pl-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: 54.9, chr-F: 0.701" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pl-en\n\n\n* source languages: pl\n* target languages: en\n* OPUS readme: pl-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: 54.9, chr-F: 0.701" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pl-en\n\n\n* source languages: pl\n* target languages: en\n* OPUS readme: pl-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: 54.9, chr-F: 0.701" ]

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

[]

[ "pl", "eo" ]

[ "### pol-epo\n\n\n* source group: Polish\n* target group: Esperanto\n* OPUS readme: pol-epo\n* model: transformer-align\n* source language(s): pol\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: 24.8, chr-F: 0.451", "### System Info:\n\n\n* hf\\_name: pol-epo\n* source\\_languages: pol\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'eo']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: epo\n* short\\_pair: pl-eo\n* chrF2\\_score: 0.451\n* bleu: 24.8\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 17191.0\n* src\\_name: Polish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: pl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: pol-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 #pl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pol-epo\n\n\n* source group: Polish\n* target group: Esperanto\n* OPUS readme: pol-epo\n* model: transformer-align\n* source language(s): pol\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: 24.8, chr-F: 0.451", "### System Info:\n\n\n* hf\\_name: pol-epo\n* source\\_languages: pol\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'eo']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: epo\n* short\\_pair: pl-eo\n* chrF2\\_score: 0.451\n* bleu: 24.8\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 17191.0\n* src\\_name: Polish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: pl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: pol-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 52, 135, 406 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pol-epo\n\n\n* source group: Polish\n* target group: Esperanto\n* OPUS readme: pol-epo\n* model: transformer-align\n* source language(s): pol\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: 24.8, chr-F: 0.451### System Info:\n\n\n* hf\\_name: pol-epo\n* source\\_languages: pol\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'eo']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: epo\n* short\\_pair: pl-eo\n* chrF2\\_score: 0.451\n* bleu: 24.8\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 17191.0\n* src\\_name: Polish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: pl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: pol-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", "pl", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-pl-es\n\n\n* source languages: pl\n* target languages: es\n* OPUS readme: pl-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: 46.9, chr-F: 0.654" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pl-es\n\n\n* source languages: pl\n* target languages: es\n* OPUS readme: pl-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: 46.9, chr-F: 0.654" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pl-es\n\n\n* source languages: pl\n* target languages: es\n* OPUS readme: pl-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: 46.9, chr-F: 0.654" ]

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

[]

[]

[ "### opus-mt-pl-fr\n\n\n* source languages: pl\n* target languages: fr\n* OPUS readme: pl-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: 49.0, chr-F: 0.659" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pl-fr\n\n\n* source languages: pl\n* target languages: fr\n* OPUS readme: pl-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: 49.0, chr-F: 0.659" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pl-fr\n\n\n* source languages: pl\n* target languages: fr\n* OPUS readme: pl-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: 49.0, chr-F: 0.659" ]

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

[]

[ "pl", "lt" ]

[ "### pol-lit\n\n\n* source group: Polish\n* target group: Lithuanian\n* OPUS readme: pol-lit\n* model: transformer-align\n* source language(s): pol\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.7, chr-F: 0.688", "### System Info:\n\n\n* hf\\_name: pol-lit\n* source\\_languages: pol\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'lt']\n* src\\_constituents: {'pol'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: pol\n* tgt\\_alpha3: lit\n* short\\_pair: pl-lt\n* chrF2\\_score: 0.688\n* bleu: 43.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 10084.0\n* src\\_name: Polish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: pol-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pol-lit\n\n\n* source group: Polish\n* target group: Lithuanian\n* OPUS readme: pol-lit\n* model: transformer-align\n* source language(s): pol\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.7, chr-F: 0.688", "### System Info:\n\n\n* hf\\_name: pol-lit\n* source\\_languages: pol\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'lt']\n* src\\_constituents: {'pol'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: pol\n* tgt\\_alpha3: lit\n* short\\_pair: pl-lt\n* chrF2\\_score: 0.688\n* bleu: 43.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 10084.0\n* src\\_name: Polish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: pol-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 131, 392 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pol-lit\n\n\n* source group: Polish\n* target group: Lithuanian\n* OPUS readme: pol-lit\n* model: transformer-align\n* source language(s): pol\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.7, chr-F: 0.688### System Info:\n\n\n* hf\\_name: pol-lit\n* source\\_languages: pol\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'lt']\n* src\\_constituents: {'pol'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: pol\n* tgt\\_alpha3: lit\n* short\\_pair: pl-lt\n* chrF2\\_score: 0.688\n* bleu: 43.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 10084.0\n* src\\_name: Polish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: pol-lit\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", "pl", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[ "pl", "no" ]

[ "### pol-nor\n\n\n* source group: Polish\n* target group: Norwegian\n* OPUS readme: pol-nor\n* model: transformer-align\n* source language(s): pol\n* target language(s): nob\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: 27.5, chr-F: 0.479", "### System Info:\n\n\n* hf\\_name: pol-nor\n* source\\_languages: pol\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'no']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: nor\n* short\\_pair: pl-no\n* chrF2\\_score: 0.479\n* bleu: 27.5\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 2045.0\n* src\\_name: Polish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: pol-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 #pl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pol-nor\n\n\n* source group: Polish\n* target group: Norwegian\n* OPUS readme: pol-nor\n* model: transformer-align\n* source language(s): pol\n* target language(s): nob\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: 27.5, chr-F: 0.479", "### System Info:\n\n\n* hf\\_name: pol-nor\n* source\\_languages: pol\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'no']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: nor\n* short\\_pair: pl-no\n* chrF2\\_score: 0.479\n* bleu: 27.5\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 2045.0\n* src\\_name: Polish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: pol-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 51, 132, 403 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pol-nor\n\n\n* source group: Polish\n* target group: Norwegian\n* OPUS readme: pol-nor\n* model: transformer-align\n* source language(s): pol\n* target language(s): nob\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: 27.5, chr-F: 0.479### System Info:\n\n\n* hf\\_name: pol-nor\n* source\\_languages: pol\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'no']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: nor\n* short\\_pair: pl-no\n* chrF2\\_score: 0.479\n* bleu: 27.5\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 2045.0\n* src\\_name: Polish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: pol-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", "pl", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]

[]

[]

[ "### opus-mt-pl-sv\n\n\n* source languages: pl\n* target languages: sv\n* OPUS readme: pl-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: 58.9, chr-F: 0.717" ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pl-sv\n\n\n* source languages: pl\n* target languages: sv\n* OPUS readme: pl-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: 58.9, chr-F: 0.717" ]

[ 51, 106 ]

[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pl-sv\n\n\n* source languages: pl\n* target languages: sv\n* OPUS readme: pl-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: 58.9, chr-F: 0.717" ]

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

[]

[ "pl", "uk" ]

[ "### pol-ukr\n\n\n* source group: Polish\n* target group: Ukrainian\n* OPUS readme: pol-ukr\n* model: transformer-align\n* source language(s): pol\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: 47.1, chr-F: 0.665", "### System Info:\n\n\n* hf\\_name: pol-ukr\n* source\\_languages: pol\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'uk']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ukr\n* short\\_pair: pl-uk\n* chrF2\\_score: 0.665\n* bleu: 47.1\n* brevity\\_penalty: 0.992\n* ref\\_len: 13434.0\n* src\\_name: Polish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: pol-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 #safetensors #marian #text2text-generation #translation #pl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pol-ukr\n\n\n* source group: Polish\n* target group: Ukrainian\n* OPUS readme: pol-ukr\n* model: transformer-align\n* source language(s): pol\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: 47.1, chr-F: 0.665", "### System Info:\n\n\n* hf\\_name: pol-ukr\n* source\\_languages: pol\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'uk']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ukr\n* short\\_pair: pl-uk\n* chrF2\\_score: 0.665\n* bleu: 47.1\n* brevity\\_penalty: 0.992\n* ref\\_len: 13434.0\n* src\\_name: Polish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: pol-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

[ 55, 134, 396 ]

[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #pl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pol-ukr\n\n\n* source group: Polish\n* target group: Ukrainian\n* OPUS readme: pol-ukr\n* model: transformer-align\n* source language(s): pol\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: 47.1, chr-F: 0.665### System Info:\n\n\n* hf\\_name: pol-ukr\n* source\\_languages: pol\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'uk']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ukr\n* short\\_pair: pl-uk\n* chrF2\\_score: 0.665\n* bleu: 47.1\n* brevity\\_penalty: 0.992\n* ref\\_len: 13434.0\n* src\\_name: Polish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: pl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: pol-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]