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### opus-mt-sv-zne
* source languages: sv
* target languages: zne
* OPUS readme: [sv-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-zne/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.zne | 23.8 | 0.474 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-sv-zne | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sv",
"zne",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-sv-zne
* source languages: sv
* target languages: zne
* OPUS readme: sv-zne
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.8, chr-F: 0.474
| [
"### opus-mt-sv-zne\n\n\n* source languages: sv\n* target languages: zne\n* OPUS readme: sv-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.474"
] | [
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"### opus-mt-sv-zne\n\n\n* source languages: sv\n* target languages: zne\n* OPUS readme: sv-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.474"
] | [
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] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sv #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-sv-zne\n\n\n* source languages: sv\n* target languages: zne\n* OPUS readme: sv-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.474"
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] |
null | null | transformers |
### opus-mt-swc-en
* source languages: swc
* target languages: en
* OPUS readme: [swc-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.swc.en | 41.1 | 0.569 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-swc-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"swc",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #swc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-swc-en
* source languages: swc
* target languages: en
* OPUS readme: swc-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 41.1, chr-F: 0.569
| [
"### opus-mt-swc-en\n\n\n* source languages: swc\n* target languages: en\n* OPUS readme: swc-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.1, chr-F: 0.569"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-swc-en\n\n\n* source languages: swc\n* target languages: en\n* OPUS readme: swc-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.1, chr-F: 0.569"
] | [
63,
105
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-en\n\n\n* source languages: swc\n* target languages: en\n* OPUS readme: swc-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.1, chr-F: 0.569"
] | [
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] |
null | null | transformers |
### opus-mt-swc-es
* source languages: swc
* target languages: es
* OPUS readme: [swc-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.swc.es | 27.4 | 0.458 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-swc-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"swc",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #swc #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-swc-es
* source languages: swc
* target languages: es
* OPUS readme: swc-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.4, chr-F: 0.458
| [
"### opus-mt-swc-es\n\n\n* source languages: swc\n* target languages: es\n* OPUS readme: swc-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.458"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-swc-es\n\n\n* source languages: swc\n* target languages: es\n* OPUS readme: swc-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.458"
] | [
63,
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-es\n\n\n* source languages: swc\n* target languages: es\n* OPUS readme: swc-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.458"
] | [
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null | null | transformers |
### opus-mt-swc-fi
* source languages: swc
* target languages: fi
* OPUS readme: [swc-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.swc.fi | 26.0 | 0.489 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-swc-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"swc",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-swc-fi
* source languages: swc
* target languages: fi
* OPUS readme: swc-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.0, chr-F: 0.489
| [
"### opus-mt-swc-fi\n\n\n* source languages: swc\n* target languages: fi\n* OPUS readme: swc-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.489"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-swc-fi\n\n\n* source languages: swc\n* target languages: fi\n* OPUS readme: swc-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.489"
] | [
63,
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-fi\n\n\n* source languages: swc\n* target languages: fi\n* OPUS readme: swc-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.489"
] | [
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] |
null | null | transformers |
### opus-mt-swc-fr
* source languages: swc
* target languages: fr
* OPUS readme: [swc-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.swc.fr | 28.6 | 0.470 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-swc-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"swc",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-swc-fr
* source languages: swc
* target languages: fr
* OPUS readme: swc-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.6, chr-F: 0.470
| [
"### opus-mt-swc-fr\n\n\n* source languages: swc\n* target languages: fr\n* OPUS readme: swc-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.470"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-swc-fr\n\n\n* source languages: swc\n* target languages: fr\n* OPUS readme: swc-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.470"
] | [
63,
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-fr\n\n\n* source languages: swc\n* target languages: fr\n* OPUS readme: swc-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.470"
] | [
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] |
null | null | transformers |
### opus-mt-swc-sv
* source languages: swc
* target languages: sv
* OPUS readme: [swc-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/swc-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.swc.sv | 30.7 | 0.495 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-swc-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"swc",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #swc #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-swc-sv
* source languages: swc
* target languages: sv
* OPUS readme: swc-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.7, chr-F: 0.495
| [
"### opus-mt-swc-sv\n\n\n* source languages: swc\n* target languages: sv\n* OPUS readme: swc-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.495"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-swc-sv\n\n\n* source languages: swc\n* target languages: sv\n* OPUS readme: swc-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.495"
] | [
63,
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #swc #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-swc-sv\n\n\n* source languages: swc\n* target languages: sv\n* OPUS readme: swc-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.495"
] | [
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] |
null | null | transformers |
### taw-eng
* source group: Tai
* target group: English
* OPUS readme: [taw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md)
* model: transformer
* source language(s): lao tha
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-28.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.zip)
* test set translations: [opus-2020-06-28.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.test.txt)
* test set scores: [opus-2020-06-28.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lao-eng.lao.eng | 1.1 | 0.133 |
| Tatoeba-test.multi.eng | 38.9 | 0.572 |
| Tatoeba-test.tha-eng.tha.eng | 40.6 | 0.588 |
### System Info:
- hf_name: taw-eng
- source_languages: taw
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lo', 'th', 'taw', 'en']
- src_constituents: {'lao', 'tha'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.test.txt
- src_alpha3: taw
- tgt_alpha3: eng
- short_pair: taw-en
- chrF2_score: 0.5720000000000001
- bleu: 38.9
- brevity_penalty: 1.0
- ref_len: 7630.0
- src_name: Tai
- tgt_name: English
- train_date: 2020-06-28
- src_alpha2: taw
- tgt_alpha2: en
- prefer_old: False
- long_pair: taw-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lo", "th", "taw", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-taw-en | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"lo",
"th",
"taw",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"lo",
"th",
"taw",
"en"
] | TAGS
#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #lo #th #taw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### taw-eng
* source group: Tai
* target group: English
* OPUS readme: taw-eng
* model: transformer
* source language(s): lao tha
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 1.1, chr-F: 0.133
testset: URL, BLEU: 38.9, chr-F: 0.572
testset: URL, BLEU: 40.6, chr-F: 0.588
### System Info:
* hf\_name: taw-eng
* source\_languages: taw
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['lo', 'th', 'taw', 'en']
* src\_constituents: {'lao', 'tha'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: taw
* tgt\_alpha3: eng
* short\_pair: taw-en
* chrF2\_score: 0.5720000000000001
* bleu: 38.9
* brevity\_penalty: 1.0
* ref\_len: 7630.0
* src\_name: Tai
* tgt\_name: English
* train\_date: 2020-06-28
* src\_alpha2: taw
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: taw-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### taw-eng\n\n\n* source group: Tai\n* target group: English\n* OPUS readme: taw-eng\n* model: transformer\n* source language(s): lao tha\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 1.1, chr-F: 0.133\ntestset: URL, BLEU: 38.9, chr-F: 0.572\ntestset: URL, BLEU: 40.6, chr-F: 0.588",
"### System Info:\n\n\n* hf\\_name: taw-eng\n* source\\_languages: taw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lo', 'th', 'taw', 'en']\n* src\\_constituents: {'lao', 'tha'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: taw\n* tgt\\_alpha3: eng\n* short\\_pair: taw-en\n* chrF2\\_score: 0.5720000000000001\n* bleu: 38.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 7630.0\n* src\\_name: Tai\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: taw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: taw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #lo #th #taw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### taw-eng\n\n\n* source group: Tai\n* target group: English\n* OPUS readme: taw-eng\n* model: transformer\n* source language(s): lao tha\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 1.1, chr-F: 0.133\ntestset: URL, BLEU: 38.9, chr-F: 0.572\ntestset: URL, BLEU: 40.6, chr-F: 0.588",
"### System Info:\n\n\n* hf\\_name: taw-eng\n* source\\_languages: taw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lo', 'th', 'taw', 'en']\n* src\\_constituents: {'lao', 'tha'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: taw\n* tgt\\_alpha3: eng\n* short\\_pair: taw-en\n* chrF2\\_score: 0.5720000000000001\n* bleu: 38.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 7630.0\n* src\\_name: Tai\n* tgt\\_name: English\n* train\\_date: 2020-06-28\n* src\\_alpha2: taw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: taw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
71,
152,
407
] | [
"passage: TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #lo #th #taw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### taw-eng\n\n\n* source group: Tai\n* target group: English\n* OPUS readme: taw-eng\n* model: transformer\n* source language(s): lao tha\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 1.1, chr-F: 0.133\ntestset: URL, BLEU: 38.9, chr-F: 0.572\ntestset: URL, BLEU: 40.6, chr-F: 0.588"
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null | null | transformers | # opus-mt-tc-base-gmw-gmw
Neural machine translation model for translating from West Germanic languages (gmw) to West Germanic languages (gmw).
This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
```
@inproceedings{tiedemann-thottingal-2020-opus,
title = "{OPUS}-{MT} {--} Building open translation services for the World",
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.61",
pages = "479--480",
}
@inproceedings{tiedemann-2020-tatoeba,
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
author = {Tiedemann, J{\"o}rg},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.139",
pages = "1174--1182",
}
```
## Model info
* Release: 2021-02-23
* source language(s): afr deu eng fry gos hrx ltz nds nld pdc yid
* target language(s): afr deu eng fry nds nld
* valid target language labels: >>afr<< >>ang_Latn<< >>deu<< >>eng<< >>fry<< >>ltz<< >>nds<< >>nld<< >>sco<< >>yid<<
* model: transformer (base)
* data: opus ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
* tokenization: SentencePiece (spm32k,spm32k)
* original model: [opus-2021-02-23.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.zip)
* more information released models: [OPUS-MT gmw-gmw README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md)
* more information about the model: [MarianMT](https://huggingface.co/docs/transformers/model_doc/marian)
This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>afr<<`
## Usage
A short example code:
```python
from transformers import MarianMTModel, MarianTokenizer
src_text = [
">>nld<< You need help.",
">>afr<< I love your son."
]
model_name = "pytorch-models/opus-mt-tc-base-gmw-gmw"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
for t in translated:
print( tokenizer.decode(t, skip_special_tokens=True) )
# expected output:
# Je hebt hulp nodig.
# Ek is lief vir jou seun.
```
You can also use OPUS-MT models with the transformers pipelines, for example:
```python
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-gmw-gmw")
print(pipe(>>nld<< You need help.))
# expected output: Je hebt hulp nodig.
```
## Benchmarks
* test set translations: [opus-2021-02-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.test.txt)
* test set scores: [opus-2021-02-23.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.eval.txt)
* benchmark results: [benchmark_results.txt](benchmark_results.txt)
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
| langpair | testset | chr-F | BLEU | #sent | #words |
|----------|---------|-------|-------|-------|--------|
| afr-deu | tatoeba-test-v2021-08-07 | 0.674 | 48.1 | 1583 | 9105 |
| afr-eng | tatoeba-test-v2021-08-07 | 0.728 | 58.8 | 1374 | 9622 |
| afr-nld | tatoeba-test-v2021-08-07 | 0.711 | 54.5 | 1056 | 6710 |
| deu-afr | tatoeba-test-v2021-08-07 | 0.696 | 52.4 | 1583 | 9507 |
| deu-eng | tatoeba-test-v2021-08-07 | 0.609 | 42.1 | 17565 | 149462 |
| deu-nds | tatoeba-test-v2021-08-07 | 0.442 | 18.6 | 9999 | 76137 |
| deu-nld | tatoeba-test-v2021-08-07 | 0.672 | 48.7 | 10218 | 75235 |
| eng-afr | tatoeba-test-v2021-08-07 | 0.735 | 56.5 | 1374 | 10317 |
| eng-deu | tatoeba-test-v2021-08-07 | 0.580 | 35.9 | 17565 | 151568 |
| eng-nds | tatoeba-test-v2021-08-07 | 0.412 | 16.6 | 2500 | 18264 |
| eng-nld | tatoeba-test-v2021-08-07 | 0.663 | 48.3 | 12696 | 91796 |
| fry-eng | tatoeba-test-v2021-08-07 | 0.500 | 32.5 | 220 | 1573 |
| fry-nld | tatoeba-test-v2021-08-07 | 0.633 | 43.1 | 260 | 1854 |
| gos-nld | tatoeba-test-v2021-08-07 | 0.405 | 15.6 | 1852 | 9903 |
| hrx-deu | tatoeba-test-v2021-08-07 | 0.484 | 24.7 | 471 | 2805 |
| hrx-eng | tatoeba-test-v2021-08-07 | 0.362 | 20.4 | 221 | 1235 |
| ltz-deu | tatoeba-test-v2021-08-07 | 0.556 | 37.2 | 347 | 2208 |
| ltz-eng | tatoeba-test-v2021-08-07 | 0.485 | 32.4 | 293 | 1840 |
| ltz-nld | tatoeba-test-v2021-08-07 | 0.534 | 39.3 | 292 | 1685 |
| nds-deu | tatoeba-test-v2021-08-07 | 0.572 | 34.5 | 9999 | 74564 |
| nds-eng | tatoeba-test-v2021-08-07 | 0.493 | 29.9 | 2500 | 17589 |
| nds-nld | tatoeba-test-v2021-08-07 | 0.621 | 42.3 | 1657 | 11490 |
| nld-afr | tatoeba-test-v2021-08-07 | 0.755 | 58.8 | 1056 | 6823 |
| nld-deu | tatoeba-test-v2021-08-07 | 0.686 | 50.4 | 10218 | 74131 |
| nld-eng | tatoeba-test-v2021-08-07 | 0.690 | 53.1 | 12696 | 89978 |
| nld-fry | tatoeba-test-v2021-08-07 | 0.478 | 25.1 | 260 | 1857 |
| nld-nds | tatoeba-test-v2021-08-07 | 0.462 | 21.4 | 1657 | 11711 |
| afr-deu | flores101-devtest | 0.524 | 21.6 | 1012 | 25094 |
| afr-eng | flores101-devtest | 0.693 | 46.8 | 1012 | 24721 |
| afr-nld | flores101-devtest | 0.509 | 18.4 | 1012 | 25467 |
| deu-afr | flores101-devtest | 0.534 | 21.4 | 1012 | 25740 |
| deu-eng | flores101-devtest | 0.616 | 33.8 | 1012 | 24721 |
| deu-nld | flores101-devtest | 0.516 | 19.2 | 1012 | 25467 |
| eng-afr | flores101-devtest | 0.628 | 33.8 | 1012 | 25740 |
| eng-deu | flores101-devtest | 0.581 | 29.1 | 1012 | 25094 |
| eng-nld | flores101-devtest | 0.533 | 21.0 | 1012 | 25467 |
| ltz-afr | flores101-devtest | 0.430 | 12.9 | 1012 | 25740 |
| ltz-deu | flores101-devtest | 0.482 | 17.1 | 1012 | 25094 |
| ltz-eng | flores101-devtest | 0.468 | 18.8 | 1012 | 24721 |
| ltz-nld | flores101-devtest | 0.409 | 10.7 | 1012 | 25467 |
| nld-afr | flores101-devtest | 0.494 | 16.8 | 1012 | 25740 |
| nld-deu | flores101-devtest | 0.501 | 17.9 | 1012 | 25094 |
| nld-eng | flores101-devtest | 0.551 | 25.6 | 1012 | 24721 |
| deu-eng | multi30k_test_2016_flickr | 0.546 | 32.2 | 1000 | 12955 |
| eng-deu | multi30k_test_2016_flickr | 0.582 | 28.8 | 1000 | 12106 |
| deu-eng | multi30k_test_2017_flickr | 0.561 | 32.7 | 1000 | 11374 |
| eng-deu | multi30k_test_2017_flickr | 0.573 | 27.6 | 1000 | 10755 |
| deu-eng | multi30k_test_2017_mscoco | 0.499 | 25.5 | 461 | 5231 |
| eng-deu | multi30k_test_2017_mscoco | 0.514 | 22.0 | 461 | 5158 |
| deu-eng | multi30k_test_2018_flickr | 0.535 | 30.0 | 1071 | 14689 |
| eng-deu | multi30k_test_2018_flickr | 0.547 | 25.3 | 1071 | 13703 |
| deu-eng | newssyscomb2009 | 0.527 | 25.4 | 502 | 11818 |
| eng-deu | newssyscomb2009 | 0.504 | 19.3 | 502 | 11271 |
| deu-eng | news-test2008 | 0.518 | 23.8 | 2051 | 49380 |
| eng-deu | news-test2008 | 0.492 | 19.3 | 2051 | 47447 |
| deu-eng | newstest2009 | 0.516 | 23.4 | 2525 | 65399 |
| eng-deu | newstest2009 | 0.498 | 18.8 | 2525 | 62816 |
| deu-eng | newstest2010 | 0.546 | 25.8 | 2489 | 61711 |
| eng-deu | newstest2010 | 0.508 | 20.7 | 2489 | 61503 |
| deu-eng | newstest2011 | 0.524 | 23.7 | 3003 | 74681 |
| eng-deu | newstest2011 | 0.493 | 19.2 | 3003 | 72981 |
| deu-eng | newstest2012 | 0.532 | 24.8 | 3003 | 72812 |
| eng-deu | newstest2012 | 0.493 | 19.5 | 3003 | 72886 |
| deu-eng | newstest2013 | 0.548 | 27.7 | 3000 | 64505 |
| eng-deu | newstest2013 | 0.517 | 22.5 | 3000 | 63737 |
| deu-eng | newstest2014-deen | 0.548 | 27.3 | 3003 | 67337 |
| eng-deu | newstest2014-deen | 0.532 | 22.0 | 3003 | 62688 |
| deu-eng | newstest2015-deen | 0.553 | 28.6 | 2169 | 46443 |
| eng-deu | newstest2015-ende | 0.544 | 25.7 | 2169 | 44260 |
| deu-eng | newstest2016-deen | 0.596 | 33.3 | 2999 | 64119 |
| eng-deu | newstest2016-ende | 0.580 | 30.0 | 2999 | 62669 |
| deu-eng | newstest2017-deen | 0.561 | 29.5 | 3004 | 64399 |
| eng-deu | newstest2017-ende | 0.535 | 24.1 | 3004 | 61287 |
| deu-eng | newstest2018-deen | 0.610 | 36.1 | 2998 | 67012 |
| eng-deu | newstest2018-ende | 0.613 | 35.4 | 2998 | 64276 |
| deu-eng | newstest2019-deen | 0.582 | 32.3 | 2000 | 39227 |
| eng-deu | newstest2019-ende | 0.583 | 31.2 | 1997 | 48746 |
| deu-eng | newstest2020-deen | 0.604 | 32.0 | 785 | 38220 |
| eng-deu | newstest2020-ende | 0.542 | 23.9 | 1418 | 52383 |
| deu-eng | newstestB2020-deen | 0.598 | 31.2 | 785 | 37696 |
| eng-deu | newstestB2020-ende | 0.532 | 23.3 | 1418 | 53092 |
## Acknowledgements
The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
## Model conversion info
* transformers version: 4.12.3
* OPUS-MT git hash: e56a06b
* port time: Sun Feb 13 14:42:10 EET 2022
* port machine: LM0-400-22516.local
| {"language": ["af", "de", "en", "fy", "gmw", "gos", "hrx", "lb", "nds", "nl", "pdc", "yi"], "license": "cc-by-4.0", "tags": ["translation", "opus-mt-tc"], "model-index": [{"name": "opus-mt-tc-base-gmw-gmw", "results": [{"task": {"type": "translation", "name": "Translation afr-deu"}, "dataset": {"name": "flores101-devtest", "type": "flores_101", "args": "afr deu devtest"}, "metrics": [{"type": "bleu", "value": 21.6, "name": "BLEU"}, {"type": "bleu", "value": 46.8, "name": "BLEU"}, {"type": "bleu", "value": 21.4, "name": "BLEU"}, {"type": "bleu", "value": 33.8, "name": "BLEU"}, {"type": "bleu", "value": 33.8, "name": "BLEU"}, {"type": "bleu", "value": 29.1, "name": "BLEU"}, {"type": "bleu", "value": 21.0, "name": "BLEU"}, {"type": "bleu", "value": 25.6, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2016_flickr", "type": "multi30k-2016_flickr", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.2, "name": "BLEU"}, {"type": "bleu", "value": 28.8, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2017_flickr", "type": "multi30k-2017_flickr", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.7, "name": "BLEU"}, {"type": "bleu", "value": 27.6, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2017_mscoco", "type": "multi30k-2017_mscoco", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 25.5, "name": "BLEU"}, {"type": "bleu", "value": 22.0, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "multi30k_test_2018_flickr", "type": "multi30k-2018_flickr", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 30.0, "name": "BLEU"}, {"type": "bleu", "value": 25.3, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "news-test2008", "type": "news-test2008", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 23.8, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation afr-deu"}, "dataset": {"name": "tatoeba-test-v2021-08-07", "type": "tatoeba_mt", "args": "afr-deu"}, "metrics": [{"type": "bleu", "value": 48.1, "name": "BLEU"}, {"type": "bleu", "value": 58.8, "name": "BLEU"}, {"type": "bleu", "value": 54.5, "name": "BLEU"}, {"type": "bleu", "value": 52.4, "name": "BLEU"}, {"type": "bleu", "value": 42.1, "name": "BLEU"}, {"type": "bleu", "value": 48.7, "name": "BLEU"}, {"type": "bleu", "value": 56.5, "name": "BLEU"}, {"type": "bleu", "value": 35.9, "name": "BLEU"}, {"type": "bleu", "value": 48.3, "name": "BLEU"}, {"type": "bleu", "value": 32.5, "name": "BLEU"}, {"type": "bleu", "value": 43.1, "name": "BLEU"}, {"type": "bleu", "value": 24.7, "name": "BLEU"}, {"type": "bleu", "value": 20.4, "name": "BLEU"}, {"type": "bleu", "value": 37.2, "name": "BLEU"}, {"type": "bleu", "value": 32.4, "name": "BLEU"}, {"type": "bleu", "value": 39.3, "name": "BLEU"}, {"type": "bleu", "value": 34.5, "name": "BLEU"}, {"type": "bleu", "value": 29.9, "name": "BLEU"}, {"type": "bleu", "value": 42.3, "name": "BLEU"}, {"type": "bleu", "value": 58.8, "name": "BLEU"}, {"type": "bleu", "value": 50.4, "name": "BLEU"}, {"type": "bleu", "value": 53.1, "name": "BLEU"}, {"type": "bleu", "value": 25.1, "name": "BLEU"}, {"type": "bleu", "value": 21.4, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2009", "type": "wmt-2009-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 23.4, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2010", "type": "wmt-2010-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 25.8, "name": "BLEU"}, {"type": "bleu", "value": 20.7, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2011", "type": "wmt-2011-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 23.7, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2012", "type": "wmt-2012-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 24.8, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2013", "type": "wmt-2013-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 27.7, "name": "BLEU"}, {"type": "bleu", "value": 22.5, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2014-deen", "type": "wmt-2014-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 27.3, "name": "BLEU"}, {"type": "bleu", "value": 22.0, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2015-deen", "type": "wmt-2015-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 28.6, "name": "BLEU"}, {"type": "bleu", "value": 25.7, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2016-deen", "type": "wmt-2016-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 33.3, "name": "BLEU"}, {"type": "bleu", "value": 30.0, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2017-deen", "type": "wmt-2017-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 29.5, "name": "BLEU"}, {"type": "bleu", "value": 24.1, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2018-deen", "type": "wmt-2018-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 36.1, "name": "BLEU"}, {"type": "bleu", "value": 35.4, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2019-deen", "type": "wmt-2019-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.3, "name": "BLEU"}, {"type": "bleu", "value": 31.2, "name": "BLEU"}]}, {"task": {"type": "translation", "name": "Translation deu-eng"}, "dataset": {"name": "newstest2020-deen", "type": "wmt-2020-news", "args": "deu-eng"}, "metrics": [{"type": "bleu", "value": 32.0, "name": "BLEU"}, {"type": "bleu", "value": 23.9, "name": "BLEU"}]}]}]} | translation | Helsinki-NLP/opus-mt-tc-base-gmw-gmw | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"af",
"de",
"en",
"fy",
"gmw",
"gos",
"hrx",
"lb",
"nds",
"nl",
"pdc",
"yi",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"af",
"de",
"en",
"fy",
"gmw",
"gos",
"hrx",
"lb",
"nds",
"nl",
"pdc",
"yi"
] | TAGS
#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #opus-mt-tc #af #de #en #fy #gmw #gos #hrx #lb #nds #nl #pdc #yi #license-cc-by-4.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us
| opus-mt-tc-base-gmw-gmw
=======================
Neural machine translation model for translating from West Germanic languages (gmw) to West Germanic languages (gmw).
This model is part of the OPUS-MT project, an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of Marian NMT, an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from OPUS and training pipelines use the procedures of OPUS-MT-train.
* Publications: OPUS-MT – Building open translation services for the World and The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT (Please, cite if you use this model.)
Model info
----------
* Release: 2021-02-23
* source language(s): afr deu eng fry gos hrx ltz nds nld pdc yid
* target language(s): afr deu eng fry nds nld
* valid target language labels: >>afr<< >>ang\_Latn<< >>deu<< >>eng<< >>fry<< >>ltz<< >>nds<< >>nld<< >>sco<< >>yid<<
* model: transformer (base)
* data: opus (source)
* tokenization: SentencePiece (spm32k,spm32k)
* original model: URL
* more information released models: OPUS-MT gmw-gmw README
* more information about the model: MarianMT
This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of '>>id<<' (id = valid target language ID), e.g. '>>afr<<'
Usage
-----
A short example code:
You can also use OPUS-MT models with the transformers pipelines, for example:
Benchmarks
----------
* test set translations: URL
* test set scores: URL
* benchmark results: benchmark\_results.txt
* benchmark output: benchmark\_translations.zip
Acknowledgements
----------------
The work is supported by the European Language Grid as pilot project 2866, by the FoTran project, funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the MeMAD project, funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by CSC -- IT Center for Science, Finland.
Model conversion info
---------------------
* transformers version: 4.12.3
* OPUS-MT git hash: e56a06b
* port time: Sun Feb 13 14:42:10 EET 2022
* port machine: URL
| [] | [
"TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #opus-mt-tc #af #de #en #fy #gmw #gos #hrx #lb #nds #nl #pdc #yi #license-cc-by-4.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n"
] | [
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #opus-mt-tc #af #de #en #fy #gmw #gos #hrx #lb #nds #nl #pdc #yi #license-cc-by-4.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n"
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] |
null | null | transformers |
### tha-eng
* source group: Thai
* target group: English
* OPUS readme: [tha-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tha-eng/README.md)
* model: transformer-align
* source language(s): tha
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tha.eng | 48.1 | 0.644 |
### System Info:
- hf_name: tha-eng
- source_languages: tha
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tha-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['th', 'en']
- src_constituents: {'tha'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.test.txt
- src_alpha3: tha
- tgt_alpha3: eng
- short_pair: th-en
- chrF2_score: 0.644
- bleu: 48.1
- brevity_penalty: 0.9740000000000001
- ref_len: 7407.0
- src_name: Thai
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: th
- tgt_alpha2: en
- prefer_old: False
- long_pair: tha-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["th", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-th-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"th",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"th",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tha-eng
* source group: Thai
* target group: English
* OPUS readme: tha-eng
* model: transformer-align
* source language(s): tha
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 48.1, chr-F: 0.644
### System Info:
* hf\_name: tha-eng
* source\_languages: tha
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['th', 'en']
* src\_constituents: {'tha'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tha
* tgt\_alpha3: eng
* short\_pair: th-en
* chrF2\_score: 0.644
* bleu: 48.1
* brevity\_penalty: 0.9740000000000001
* ref\_len: 7407.0
* src\_name: Thai
* tgt\_name: English
* train\_date: 2020-06-17
* src\_alpha2: th
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: tha-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tha-eng\n\n\n* source group: Thai\n* target group: English\n* OPUS readme: tha-eng\n* model: transformer-align\n* source language(s): tha\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.1, chr-F: 0.644",
"### System Info:\n\n\n* hf\\_name: tha-eng\n* source\\_languages: tha\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['th', 'en']\n* src\\_constituents: {'tha'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: tha\n* tgt\\_alpha3: eng\n* short\\_pair: th-en\n* chrF2\\_score: 0.644\n* bleu: 48.1\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7407.0\n* src\\_name: Thai\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: th\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: tha-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 #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tha-eng\n\n\n* source group: Thai\n* target group: English\n* OPUS readme: tha-eng\n* model: transformer-align\n* source language(s): tha\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.1, chr-F: 0.644",
"### System Info:\n\n\n* hf\\_name: tha-eng\n* source\\_languages: tha\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['th', 'en']\n* src\\_constituents: {'tha'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: tha\n* tgt\\_alpha3: eng\n* short\\_pair: th-en\n* chrF2\\_score: 0.644\n* bleu: 48.1\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7407.0\n* src\\_name: Thai\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: th\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: tha-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
120,
391
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tha-eng\n\n\n* source group: Thai\n* target group: English\n* OPUS readme: tha-eng\n* model: transformer-align\n* source language(s): tha\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.1, chr-F: 0.644"
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] |
null | null | transformers |
### opus-mt-th-fr
* source languages: th
* target languages: fr
* OPUS readme: [th-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/th-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/th-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/th-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/th-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.th.fr | 20.4 | 0.363 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-th-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"th",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #th #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-th-fr
* source languages: th
* target languages: fr
* OPUS readme: th-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 20.4, chr-F: 0.363
| [
"### opus-mt-th-fr\n\n\n* source languages: th\n* target languages: fr\n* OPUS readme: th-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: 20.4, chr-F: 0.363"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #th #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-th-fr\n\n\n* source languages: th\n* target languages: fr\n* OPUS readme: th-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: 20.4, chr-F: 0.363"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #th #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-th-fr\n\n\n* source languages: th\n* target languages: fr\n* OPUS readme: th-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: 20.4, chr-F: 0.363"
] | [
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] |
null | null | transformers |
### opus-mt-ti-en
* source languages: ti
* target languages: en
* OPUS readme: [ti-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ti-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ti-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ti-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ti-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ti.en | 30.4 | 0.461 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ti-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ti",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ti #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ti-en
* source languages: ti
* target languages: en
* OPUS readme: ti-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.4, chr-F: 0.461
| [
"### opus-mt-ti-en\n\n\n* source languages: ti\n* target languages: en\n* OPUS readme: ti-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: 30.4, chr-F: 0.461"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ti #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ti-en\n\n\n* source languages: ti\n* target languages: en\n* OPUS readme: ti-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: 30.4, chr-F: 0.461"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ti #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ti-en\n\n\n* source languages: ti\n* target languages: en\n* OPUS readme: ti-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: 30.4, chr-F: 0.461"
] | [
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] |
null | null | transformers |
### opus-mt-tiv-en
* source languages: tiv
* target languages: en
* OPUS readme: [tiv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tiv-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tiv-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tiv.en | 31.5 | 0.473 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tiv-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tiv",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tiv-en
* source languages: tiv
* target languages: en
* OPUS readme: tiv-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.5, chr-F: 0.473
| [
"### opus-mt-tiv-en\n\n\n* source languages: tiv\n* target languages: en\n* OPUS readme: tiv-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.5, chr-F: 0.473"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tiv-en\n\n\n* source languages: tiv\n* target languages: en\n* OPUS readme: tiv-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.5, chr-F: 0.473"
] | [
61,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tiv-en\n\n\n* source languages: tiv\n* target languages: en\n* OPUS readme: tiv-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.5, chr-F: 0.473"
] | [
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] |
null | null | transformers |
### opus-mt-tiv-fr
* source languages: tiv
* target languages: fr
* OPUS readme: [tiv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tiv-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tiv-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tiv.fr | 22.3 | 0.389 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tiv-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tiv",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tiv-fr
* source languages: tiv
* target languages: fr
* OPUS readme: tiv-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.3, chr-F: 0.389
| [
"### opus-mt-tiv-fr\n\n\n* source languages: tiv\n* target languages: fr\n* OPUS readme: tiv-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: 0.389"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tiv-fr\n\n\n* source languages: tiv\n* target languages: fr\n* OPUS readme: tiv-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: 0.389"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tiv-fr\n\n\n* source languages: tiv\n* target languages: fr\n* OPUS readme: tiv-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: 0.389"
] | [
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null | null | transformers |
### opus-mt-tiv-sv
* source languages: tiv
* target languages: sv
* OPUS readme: [tiv-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tiv-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tiv-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tiv.sv | 23.7 | 0.416 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tiv-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tiv",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tiv-sv
* source languages: tiv
* target languages: sv
* OPUS readme: tiv-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.7, chr-F: 0.416
| [
"### opus-mt-tiv-sv\n\n\n* source languages: tiv\n* target languages: sv\n* OPUS readme: tiv-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.416"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tiv-sv\n\n\n* source languages: tiv\n* target languages: sv\n* OPUS readme: tiv-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.416"
] | [
61,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tiv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tiv-sv\n\n\n* source languages: tiv\n* target languages: sv\n* OPUS readme: tiv-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.416"
] | [
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null | null | transformers |
### tgl-deu
* source group: Tagalog
* target group: German
* OPUS readme: [tgl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-deu/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.deu | 22.7 | 0.473 |
### System Info:
- hf_name: tgl-deu
- source_languages: tgl
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'de']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: deu
- short_pair: tl-de
- chrF2_score: 0.473
- bleu: 22.7
- brevity_penalty: 0.9690000000000001
- ref_len: 2453.0
- src_name: Tagalog
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: de
- prefer_old: False
- long_pair: tgl-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tl", "de"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tl-de | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tl",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tl",
"de"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tgl-deu
* source group: Tagalog
* target group: German
* OPUS readme: tgl-deu
* model: transformer-align
* source language(s): tgl\_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.7, chr-F: 0.473
### System Info:
* hf\_name: tgl-deu
* source\_languages: tgl
* target\_languages: deu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tl', 'de']
* src\_constituents: {'tgl\_Latn'}
* tgt\_constituents: {'deu'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tgl
* tgt\_alpha3: deu
* short\_pair: tl-de
* chrF2\_score: 0.473
* bleu: 22.7
* brevity\_penalty: 0.9690000000000001
* ref\_len: 2453.0
* src\_name: Tagalog
* tgt\_name: German
* train\_date: 2020-06-17
* src\_alpha2: tl
* tgt\_alpha2: de
* prefer\_old: False
* long\_pair: tgl-deu
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tgl-deu\n\n\n* source group: Tagalog\n* target group: German\n* OPUS readme: tgl-deu\n* model: transformer-align\n* source language(s): tgl\\_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: 22.7, chr-F: 0.473",
"### System Info:\n\n\n* hf\\_name: tgl-deu\n* source\\_languages: tgl\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'de']\n* src\\_constituents: {'tgl\\_Latn'}\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: tgl\n* tgt\\_alpha3: deu\n* short\\_pair: tl-de\n* chrF2\\_score: 0.473\n* bleu: 22.7\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 2453.0\n* src\\_name: Tagalog\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: tgl-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 #tl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tgl-deu\n\n\n* source group: Tagalog\n* target group: German\n* OPUS readme: tgl-deu\n* model: transformer-align\n* source language(s): tgl\\_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: 22.7, chr-F: 0.473",
"### System Info:\n\n\n* hf\\_name: tgl-deu\n* source\\_languages: tgl\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'de']\n* src\\_constituents: {'tgl\\_Latn'}\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: tgl\n* tgt\\_alpha3: deu\n* short\\_pair: tl-de\n* chrF2\\_score: 0.473\n* bleu: 22.7\n* brevity\\_penalty: 0.9690000000000001\n* ref\\_len: 2453.0\n* src\\_name: Tagalog\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: tgl-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
62,
131,
406
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tgl-deu\n\n\n* source group: Tagalog\n* target group: German\n* OPUS readme: tgl-deu\n* model: transformer-align\n* source language(s): tgl\\_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: 22.7, chr-F: 0.473"
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] |
null | null | transformers |
### tgl-eng
* source group: Tagalog
* target group: English
* OPUS readme: [tgl-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-eng/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.eng | 35.0 | 0.542 |
### System Info:
- hf_name: tgl-eng
- source_languages: tgl
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'en']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: eng
- short_pair: tl-en
- chrF2_score: 0.542
- bleu: 35.0
- brevity_penalty: 0.975
- ref_len: 18168.0
- src_name: Tagalog
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: en
- prefer_old: False
- long_pair: tgl-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tl", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tl-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tl",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tl",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tgl-eng
* source group: Tagalog
* target group: English
* OPUS readme: tgl-eng
* model: transformer-align
* source language(s): tgl\_Latn
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 35.0, chr-F: 0.542
### System Info:
* hf\_name: tgl-eng
* source\_languages: tgl
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tl', 'en']
* src\_constituents: {'tgl\_Latn'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tgl
* tgt\_alpha3: eng
* short\_pair: tl-en
* chrF2\_score: 0.542
* bleu: 35.0
* brevity\_penalty: 0.975
* ref\_len: 18168.0
* src\_name: Tagalog
* tgt\_name: English
* train\_date: 2020-06-17
* src\_alpha2: tl
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: tgl-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tgl-eng\n\n\n* source group: Tagalog\n* target group: English\n* OPUS readme: tgl-eng\n* model: transformer-align\n* source language(s): tgl\\_Latn\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.0, chr-F: 0.542",
"### System Info:\n\n\n* hf\\_name: tgl-eng\n* source\\_languages: tgl\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'en']\n* src\\_constituents: {'tgl\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: tgl\n* tgt\\_alpha3: eng\n* short\\_pair: tl-en\n* chrF2\\_score: 0.542\n* bleu: 35.0\n* brevity\\_penalty: 0.975\n* ref\\_len: 18168.0\n* src\\_name: Tagalog\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: tgl-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 #tl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tgl-eng\n\n\n* source group: Tagalog\n* target group: English\n* OPUS readme: tgl-eng\n* model: transformer-align\n* source language(s): tgl\\_Latn\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.0, chr-F: 0.542",
"### System Info:\n\n\n* hf\\_name: tgl-eng\n* source\\_languages: tgl\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'en']\n* src\\_constituents: {'tgl\\_Latn'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: tgl\n* tgt\\_alpha3: eng\n* short\\_pair: tl-en\n* chrF2\\_score: 0.542\n* bleu: 35.0\n* brevity\\_penalty: 0.975\n* ref\\_len: 18168.0\n* src\\_name: Tagalog\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: tgl-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
62,
127,
399
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tgl-eng\n\n\n* source group: Tagalog\n* target group: English\n* OPUS readme: tgl-eng\n* model: transformer-align\n* source language(s): tgl\\_Latn\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.0, chr-F: 0.542"
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null | null | transformers |
### tgl-spa
* source group: Tagalog
* target group: Spanish
* OPUS readme: [tgl-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-spa/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.spa | 31.6 | 0.531 |
### System Info:
- hf_name: tgl-spa
- source_languages: tgl
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'es']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: spa
- short_pair: tl-es
- chrF2_score: 0.531
- bleu: 31.6
- brevity_penalty: 0.997
- ref_len: 4327.0
- src_name: Tagalog
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: es
- prefer_old: False
- long_pair: tgl-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tl", "es"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tl-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tl",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tl",
"es"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tgl-spa
* source group: Tagalog
* target group: Spanish
* OPUS readme: tgl-spa
* model: transformer-align
* source language(s): tgl\_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.6, chr-F: 0.531
### System Info:
* hf\_name: tgl-spa
* source\_languages: tgl
* target\_languages: spa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tl', 'es']
* src\_constituents: {'tgl\_Latn'}
* tgt\_constituents: {'spa'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tgl
* tgt\_alpha3: spa
* short\_pair: tl-es
* chrF2\_score: 0.531
* bleu: 31.6
* brevity\_penalty: 0.997
* ref\_len: 4327.0
* src\_name: Tagalog
* tgt\_name: Spanish
* train\_date: 2020-06-17
* src\_alpha2: tl
* tgt\_alpha2: es
* prefer\_old: False
* long\_pair: tgl-spa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tgl-spa\n\n\n* source group: Tagalog\n* target group: Spanish\n* OPUS readme: tgl-spa\n* model: transformer-align\n* source language(s): tgl\\_Latn\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: 31.6, chr-F: 0.531",
"### System Info:\n\n\n* hf\\_name: tgl-spa\n* source\\_languages: tgl\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'es']\n* src\\_constituents: {'tgl\\_Latn'}\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: tgl\n* tgt\\_alpha3: spa\n* short\\_pair: tl-es\n* chrF2\\_score: 0.531\n* bleu: 31.6\n* brevity\\_penalty: 0.997\n* ref\\_len: 4327.0\n* src\\_name: Tagalog\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: tgl-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 #tl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tgl-spa\n\n\n* source group: Tagalog\n* target group: Spanish\n* OPUS readme: tgl-spa\n* model: transformer-align\n* source language(s): tgl\\_Latn\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: 31.6, chr-F: 0.531",
"### System Info:\n\n\n* hf\\_name: tgl-spa\n* source\\_languages: tgl\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'es']\n* src\\_constituents: {'tgl\\_Latn'}\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: tgl\n* tgt\\_alpha3: spa\n* short\\_pair: tl-es\n* chrF2\\_score: 0.531\n* bleu: 31.6\n* brevity\\_penalty: 0.997\n* ref\\_len: 4327.0\n* src\\_name: Tagalog\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: tgl-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
62,
127,
398
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tgl-spa\n\n\n* source group: Tagalog\n* target group: Spanish\n* OPUS readme: tgl-spa\n* model: transformer-align\n* source language(s): tgl\\_Latn\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: 31.6, chr-F: 0.531"
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null | null | transformers |
### tgl-por
* source group: Tagalog
* target group: Portuguese
* OPUS readme: [tgl-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-por/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.por | 28.8 | 0.522 |
### System Info:
- hf_name: tgl-por
- source_languages: tgl
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'pt']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: por
- short_pair: tl-pt
- chrF2_score: 0.522
- bleu: 28.8
- brevity_penalty: 0.981
- ref_len: 12826.0
- src_name: Tagalog
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: pt
- prefer_old: False
- long_pair: tgl-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tl", "pt"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tl-pt | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tl",
"pt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tl",
"pt"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tl #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tgl-por
* source group: Tagalog
* target group: Portuguese
* OPUS readme: tgl-por
* model: transformer-align
* source language(s): tgl\_Latn
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.8, chr-F: 0.522
### System Info:
* hf\_name: tgl-por
* source\_languages: tgl
* target\_languages: por
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tl', 'pt']
* src\_constituents: {'tgl\_Latn'}
* tgt\_constituents: {'por'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tgl
* tgt\_alpha3: por
* short\_pair: tl-pt
* chrF2\_score: 0.522
* bleu: 28.8
* brevity\_penalty: 0.981
* ref\_len: 12826.0
* src\_name: Tagalog
* tgt\_name: Portuguese
* train\_date: 2020-06-17
* src\_alpha2: tl
* tgt\_alpha2: pt
* prefer\_old: False
* long\_pair: tgl-por
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tgl-por\n\n\n* source group: Tagalog\n* target group: Portuguese\n* OPUS readme: tgl-por\n* model: transformer-align\n* source language(s): tgl\\_Latn\n* target language(s): por\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: 28.8, chr-F: 0.522",
"### System Info:\n\n\n* hf\\_name: tgl-por\n* source\\_languages: tgl\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'pt']\n* src\\_constituents: {'tgl\\_Latn'}\n* tgt\\_constituents: {'por'}\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: tgl\n* tgt\\_alpha3: por\n* short\\_pair: tl-pt\n* chrF2\\_score: 0.522\n* bleu: 28.8\n* brevity\\_penalty: 0.981\n* ref\\_len: 12826.0\n* src\\_name: Tagalog\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: tgl-por\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 #tl #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tgl-por\n\n\n* source group: Tagalog\n* target group: Portuguese\n* OPUS readme: tgl-por\n* model: transformer-align\n* source language(s): tgl\\_Latn\n* target language(s): por\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: 28.8, chr-F: 0.522",
"### System Info:\n\n\n* hf\\_name: tgl-por\n* source\\_languages: tgl\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tl', 'pt']\n* src\\_constituents: {'tgl\\_Latn'}\n* tgt\\_constituents: {'por'}\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: tgl\n* tgt\\_alpha3: por\n* short\\_pair: tl-pt\n* chrF2\\_score: 0.522\n* bleu: 28.8\n* brevity\\_penalty: 0.981\n* ref\\_len: 12826.0\n* src\\_name: Tagalog\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: tl\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: tgl-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
62,
129,
401
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tl #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tgl-por\n\n\n* source group: Tagalog\n* target group: Portuguese\n* OPUS readme: tgl-por\n* model: transformer-align\n* source language(s): tgl\\_Latn\n* target language(s): por\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: 28.8, chr-F: 0.522"
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] |
null | null | transformers |
### opus-mt-tll-en
* source languages: tll
* target languages: en
* OPUS readme: [tll-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tll-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tll.en | 34.5 | 0.500 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tll-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tll",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tll #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tll-en
* source languages: tll
* target languages: en
* OPUS readme: tll-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 34.5, chr-F: 0.500
| [
"### opus-mt-tll-en\n\n\n* source languages: tll\n* target languages: en\n* OPUS readme: tll-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.5, chr-F: 0.500"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tll-en\n\n\n* source languages: tll\n* target languages: en\n* OPUS readme: tll-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.5, chr-F: 0.500"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tll-en\n\n\n* source languages: tll\n* target languages: en\n* OPUS readme: tll-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.5, chr-F: 0.500"
] | [
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] |
null | null | transformers |
### opus-mt-tll-es
* source languages: tll
* target languages: es
* OPUS readme: [tll-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tll-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tll.es | 22.9 | 0.403 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tll-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tll",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tll #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tll-es
* source languages: tll
* target languages: es
* OPUS readme: tll-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.9, chr-F: 0.403
| [
"### opus-mt-tll-es\n\n\n* source languages: tll\n* target languages: es\n* OPUS readme: tll-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: 22.9, chr-F: 0.403"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tll-es\n\n\n* source languages: tll\n* target languages: es\n* OPUS readme: tll-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: 22.9, chr-F: 0.403"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tll-es\n\n\n* source languages: tll\n* target languages: es\n* OPUS readme: tll-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: 22.9, chr-F: 0.403"
] | [
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] |
null | null | transformers |
### opus-mt-tll-fi
* source languages: tll
* target languages: fi
* OPUS readme: [tll-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tll-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tll.fi | 22.4 | 0.441 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tll-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tll",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tll #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tll-fi
* source languages: tll
* target languages: fi
* OPUS readme: tll-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.4, chr-F: 0.441
| [
"### opus-mt-tll-fi\n\n\n* source languages: tll\n* target languages: fi\n* OPUS readme: tll-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: 22.4, chr-F: 0.441"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tll-fi\n\n\n* source languages: tll\n* target languages: fi\n* OPUS readme: tll-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: 22.4, chr-F: 0.441"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tll-fi\n\n\n* source languages: tll\n* target languages: fi\n* OPUS readme: tll-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: 22.4, chr-F: 0.441"
] | [
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] |
null | null | transformers |
### opus-mt-tll-fr
* source languages: tll
* target languages: fr
* OPUS readme: [tll-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tll-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tll.fr | 25.2 | 0.426 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tll-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tll",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tll #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tll-fr
* source languages: tll
* target languages: fr
* OPUS readme: tll-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.2, chr-F: 0.426
| [
"### opus-mt-tll-fr\n\n\n* source languages: tll\n* target languages: fr\n* OPUS readme: tll-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: 25.2, chr-F: 0.426"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tll-fr\n\n\n* source languages: tll\n* target languages: fr\n* OPUS readme: tll-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: 25.2, chr-F: 0.426"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tll-fr\n\n\n* source languages: tll\n* target languages: fr\n* OPUS readme: tll-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: 25.2, chr-F: 0.426"
] | [
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] |
null | null | transformers |
### opus-mt-tll-sv
* source languages: tll
* target languages: sv
* OPUS readme: [tll-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tll-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tll-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tll.sv | 25.6 | 0.436 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tll-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tll",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tll #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tll-sv
* source languages: tll
* target languages: sv
* OPUS readme: tll-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.6, chr-F: 0.436
| [
"### opus-mt-tll-sv\n\n\n* source languages: tll\n* target languages: sv\n* OPUS readme: tll-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: 25.6, chr-F: 0.436"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tll-sv\n\n\n* source languages: tll\n* target languages: sv\n* OPUS readme: tll-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: 25.6, chr-F: 0.436"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tll #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tll-sv\n\n\n* source languages: tll\n* target languages: sv\n* OPUS readme: tll-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: 25.6, chr-F: 0.436"
] | [
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null | null | transformers |
### opus-mt-tn-en
* source languages: tn
* target languages: en
* OPUS readme: [tn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/tn-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.en | 43.4 | 0.589 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tn-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tn-en
* source languages: tn
* target languages: en
* OPUS readme: tn-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 43.4, chr-F: 0.589
| [
"### opus-mt-tn-en\n\n\n* source languages: tn\n* target languages: en\n* OPUS readme: tn-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: 43.4, chr-F: 0.589"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tn-en\n\n\n* source languages: tn\n* target languages: en\n* OPUS readme: tn-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: 43.4, chr-F: 0.589"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tn-en\n\n\n* source languages: tn\n* target languages: en\n* OPUS readme: tn-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: 43.4, chr-F: 0.589"
] | [
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] |
null | null | transformers |
### opus-mt-tn-es
* source languages: tn
* target languages: es
* OPUS readme: [tn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tn-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.es | 29.1 | 0.479 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tn-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tn",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tn-es
* source languages: tn
* target languages: es
* OPUS readme: tn-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.1, chr-F: 0.479
| [
"### opus-mt-tn-es\n\n\n* source languages: tn\n* target languages: es\n* OPUS readme: tn-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: 29.1, chr-F: 0.479"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tn-es\n\n\n* source languages: tn\n* target languages: es\n* OPUS readme: tn-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: 29.1, chr-F: 0.479"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tn-es\n\n\n* source languages: tn\n* target languages: es\n* OPUS readme: tn-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: 29.1, chr-F: 0.479"
] | [
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] |
null | null | transformers |
### opus-mt-tn-fr
* source languages: tn
* target languages: fr
* OPUS readme: [tn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.fr | 29.0 | 0.474 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tn-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tn",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tn-fr
* source languages: tn
* target languages: fr
* OPUS readme: tn-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.0, chr-F: 0.474
| [
"### opus-mt-tn-fr\n\n\n* source languages: tn\n* target languages: fr\n* OPUS readme: tn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.474"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tn-fr\n\n\n* source languages: tn\n* target languages: fr\n* OPUS readme: tn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.474"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tn-fr\n\n\n* source languages: tn\n* target languages: fr\n* OPUS readme: tn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.474"
] | [
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null | null | transformers |
### opus-mt-tn-sv
* source languages: tn
* target languages: sv
* OPUS readme: [tn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.sv | 32.0 | 0.508 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tn-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tn",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tn-sv
* source languages: tn
* target languages: sv
* OPUS readme: tn-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 32.0, chr-F: 0.508
| [
"### opus-mt-tn-sv\n\n\n* source languages: tn\n* target languages: sv\n* OPUS readme: tn-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: 32.0, chr-F: 0.508"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tn-sv\n\n\n* source languages: tn\n* target languages: sv\n* OPUS readme: tn-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: 32.0, chr-F: 0.508"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tn-sv\n\n\n* source languages: tn\n* target languages: sv\n* OPUS readme: tn-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: 32.0, chr-F: 0.508"
] | [
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] |
null | null | transformers |
### opus-mt-to-en
* source languages: to
* target languages: en
* OPUS readme: [to-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.en | 49.3 | 0.627 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-to-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"to",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #to #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-to-en
* source languages: to
* target languages: en
* OPUS readme: to-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 49.3, chr-F: 0.627
| [
"### opus-mt-to-en\n\n\n* source languages: to\n* target languages: en\n* OPUS readme: to-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: 49.3, chr-F: 0.627"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-to-en\n\n\n* source languages: to\n* target languages: en\n* OPUS readme: to-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: 49.3, chr-F: 0.627"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-to-en\n\n\n* source languages: to\n* target languages: en\n* OPUS readme: to-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: 49.3, chr-F: 0.627"
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] |
null | null | transformers |
### opus-mt-to-es
* source languages: to
* target languages: es
* OPUS readme: [to-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.es | 26.6 | 0.447 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-to-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"to",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #to #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-to-es
* source languages: to
* target languages: es
* OPUS readme: to-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.6, chr-F: 0.447
| [
"### opus-mt-to-es\n\n\n* source languages: to\n* target languages: es\n* OPUS readme: to-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.6, chr-F: 0.447"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-to-es\n\n\n* source languages: to\n* target languages: es\n* OPUS readme: to-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.6, chr-F: 0.447"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-to-es\n\n\n* source languages: to\n* target languages: es\n* OPUS readme: to-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.6, chr-F: 0.447"
] | [
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null | null | transformers |
### opus-mt-to-fr
* source languages: to
* target languages: fr
* OPUS readme: [to-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/to-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.fr | 27.9 | 0.456 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-to-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"to",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #to #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-to-fr
* source languages: to
* target languages: fr
* OPUS readme: to-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.9, chr-F: 0.456
| [
"### opus-mt-to-fr\n\n\n* source languages: to\n* target languages: fr\n* OPUS readme: to-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: 27.9, chr-F: 0.456"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-to-fr\n\n\n* source languages: to\n* target languages: fr\n* OPUS readme: to-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: 27.9, chr-F: 0.456"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-to-fr\n\n\n* source languages: to\n* target languages: fr\n* OPUS readme: to-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: 27.9, chr-F: 0.456"
] | [
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] |
null | null | transformers |
### opus-mt-to-sv
* source languages: to
* target languages: sv
* OPUS readme: [to-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.sv | 30.7 | 0.493 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-to-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"to",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #to #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-to-sv
* source languages: to
* target languages: sv
* OPUS readme: to-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.7, chr-F: 0.493
| [
"### opus-mt-to-sv\n\n\n* source languages: to\n* target languages: sv\n* OPUS readme: to-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.493"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-to-sv\n\n\n* source languages: to\n* target languages: sv\n* OPUS readme: to-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.493"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #to #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-to-sv\n\n\n* source languages: to\n* target languages: sv\n* OPUS readme: to-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.493"
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] |
null | null | transformers |
### opus-mt-toi-en
* source languages: toi
* target languages: en
* OPUS readme: [toi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.en | 39.0 | 0.539 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-toi-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"toi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #toi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-toi-en
* source languages: toi
* target languages: en
* OPUS readme: toi-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 39.0, chr-F: 0.539
| [
"### opus-mt-toi-en\n\n\n* source languages: toi\n* target languages: en\n* OPUS readme: toi-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: 39.0, chr-F: 0.539"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-toi-en\n\n\n* source languages: toi\n* target languages: en\n* OPUS readme: toi-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: 39.0, chr-F: 0.539"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-toi-en\n\n\n* source languages: toi\n* target languages: en\n* OPUS readme: toi-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: 39.0, chr-F: 0.539"
] | [
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] |
null | null | transformers |
### opus-mt-toi-es
* source languages: toi
* target languages: es
* OPUS readme: [toi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.es | 24.6 | 0.416 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-toi-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"toi",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #toi #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-toi-es
* source languages: toi
* target languages: es
* OPUS readme: toi-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.6, chr-F: 0.416
| [
"### opus-mt-toi-es\n\n\n* source languages: toi\n* target languages: es\n* OPUS readme: toi-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: 24.6, chr-F: 0.416"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-toi-es\n\n\n* source languages: toi\n* target languages: es\n* OPUS readme: toi-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: 24.6, chr-F: 0.416"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-toi-es\n\n\n* source languages: toi\n* target languages: es\n* OPUS readme: toi-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: 24.6, chr-F: 0.416"
] | [
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] |
null | null | transformers |
### opus-mt-toi-fi
* source languages: toi
* target languages: fi
* OPUS readme: [toi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.fi | 24.5 | 0.464 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-toi-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"toi",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #toi #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-toi-fi
* source languages: toi
* target languages: fi
* OPUS readme: toi-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.5, chr-F: 0.464
| [
"### opus-mt-toi-fi\n\n\n* source languages: toi\n* target languages: fi\n* OPUS readme: toi-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: 24.5, chr-F: 0.464"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-toi-fi\n\n\n* source languages: toi\n* target languages: fi\n* OPUS readme: toi-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: 24.5, chr-F: 0.464"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-toi-fi\n\n\n* source languages: toi\n* target languages: fi\n* OPUS readme: toi-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: 24.5, chr-F: 0.464"
] | [
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] |
null | null | transformers |
### opus-mt-toi-fr
* source languages: toi
* target languages: fr
* OPUS readme: [toi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.fr | 26.5 | 0.432 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-toi-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"toi",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #toi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-toi-fr
* source languages: toi
* target languages: fr
* OPUS readme: toi-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.5, chr-F: 0.432
| [
"### opus-mt-toi-fr\n\n\n* source languages: toi\n* target languages: fr\n* OPUS readme: toi-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: 26.5, chr-F: 0.432"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-toi-fr\n\n\n* source languages: toi\n* target languages: fr\n* OPUS readme: toi-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: 26.5, chr-F: 0.432"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-toi-fr\n\n\n* source languages: toi\n* target languages: fr\n* OPUS readme: toi-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: 26.5, chr-F: 0.432"
] | [
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] |
null | null | transformers |
### opus-mt-toi-sv
* source languages: toi
* target languages: sv
* OPUS readme: [toi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.sv | 27.0 | 0.448 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-toi-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"toi",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #toi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-toi-sv
* source languages: toi
* target languages: sv
* OPUS readme: toi-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.0, chr-F: 0.448
| [
"### opus-mt-toi-sv\n\n\n* source languages: toi\n* target languages: sv\n* OPUS readme: toi-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: 27.0, chr-F: 0.448"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-toi-sv\n\n\n* source languages: toi\n* target languages: sv\n* OPUS readme: toi-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: 27.0, chr-F: 0.448"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #toi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-toi-sv\n\n\n* source languages: toi\n* target languages: sv\n* OPUS readme: toi-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: 27.0, chr-F: 0.448"
] | [
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null | null | transformers |
### opus-mt-tpi-en
* source languages: tpi
* target languages: en
* OPUS readme: [tpi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tpi-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tpi-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tpi.en | 29.1 | 0.448 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tpi-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tpi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tpi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tpi-en
* source languages: tpi
* target languages: en
* OPUS readme: tpi-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.1, chr-F: 0.448
| [
"### opus-mt-tpi-en\n\n\n* source languages: tpi\n* target languages: en\n* OPUS readme: tpi-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: 29.1, chr-F: 0.448"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tpi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tpi-en\n\n\n* source languages: tpi\n* target languages: en\n* OPUS readme: tpi-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: 29.1, chr-F: 0.448"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tpi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tpi-en\n\n\n* source languages: tpi\n* target languages: en\n* OPUS readme: tpi-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: 29.1, chr-F: 0.448"
] | [
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null | null | transformers |
### opus-mt-tpi-sv
* source languages: tpi
* target languages: sv
* OPUS readme: [tpi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tpi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tpi-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tpi.sv | 21.6 | 0.396 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tpi-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tpi",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tpi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tpi-sv
* source languages: tpi
* target languages: sv
* OPUS readme: tpi-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.6, chr-F: 0.396
| [
"### opus-mt-tpi-sv\n\n\n* source languages: tpi\n* target languages: sv\n* OPUS readme: tpi-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: 21.6, chr-F: 0.396"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tpi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tpi-sv\n\n\n* source languages: tpi\n* target languages: sv\n* OPUS readme: tpi-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: 21.6, chr-F: 0.396"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tpi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tpi-sv\n\n\n* source languages: tpi\n* target languages: sv\n* OPUS readme: tpi-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: 21.6, chr-F: 0.396"
] | [
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null | null | transformers |
### tur-ara
* source group: Turkish
* target group: Arabic
* OPUS readme: [tur-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ara/README.md)
* model: transformer
* source language(s): tur
* target language(s): apc_Latn ara ara_Latn arq_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.ara | 14.9 | 0.455 |
### System Info:
- hf_name: tur-ara
- source_languages: tur
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'ar']
- src_constituents: {'tur'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.test.txt
- src_alpha3: tur
- tgt_alpha3: ara
- short_pair: tr-ar
- chrF2_score: 0.455
- bleu: 14.9
- brevity_penalty: 0.988
- ref_len: 6944.0
- src_name: Turkish
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: tr
- tgt_alpha2: ar
- prefer_old: False
- long_pair: tur-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tr", "ar"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-ar | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tr",
"ar"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tur-ara
* source group: Turkish
* target group: Arabic
* OPUS readme: tur-ara
* model: transformer
* source language(s): tur
* target language(s): apc\_Latn ara ara\_Latn arq\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 14.9, chr-F: 0.455
### System Info:
* hf\_name: tur-ara
* source\_languages: tur
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tr', 'ar']
* src\_constituents: {'tur'}
* tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tur
* tgt\_alpha3: ara
* short\_pair: tr-ar
* chrF2\_score: 0.455
* bleu: 14.9
* brevity\_penalty: 0.988
* ref\_len: 6944.0
* src\_name: Turkish
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: tr
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: tur-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tur-ara\n\n\n* source group: Turkish\n* target group: Arabic\n* OPUS readme: tur-ara\n* model: transformer\n* source language(s): tur\n* target language(s): apc\\_Latn ara ara\\_Latn arq\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.9, chr-F: 0.455",
"### System Info:\n\n\n* hf\\_name: tur-ara\n* source\\_languages: tur\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'ar']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: ara\n* short\\_pair: tr-ar\n* chrF2\\_score: 0.455\n* bleu: 14.9\n* brevity\\_penalty: 0.988\n* ref\\_len: 6944.0\n* src\\_name: Turkish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: tr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: tur-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 #tr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tur-ara\n\n\n* source group: Turkish\n* target group: Arabic\n* OPUS readme: tur-ara\n* model: transformer\n* source language(s): tur\n* target language(s): apc\\_Latn ara ara\\_Latn arq\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.9, chr-F: 0.455",
"### System Info:\n\n\n* hf\\_name: tur-ara\n* source\\_languages: tur\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'ar']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: ara\n* short\\_pair: tr-ar\n* chrF2\\_score: 0.455\n* bleu: 14.9\n* brevity\\_penalty: 0.988\n* ref\\_len: 6944.0\n* src\\_name: Turkish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: tr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: tur-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tur-ara\n\n\n* source group: Turkish\n* target group: Arabic\n* OPUS readme: tur-ara\n* model: transformer\n* source language(s): tur\n* target language(s): apc\\_Latn ara ara\\_Latn arq\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.9, chr-F: 0.455"
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null | null | transformers |
### tur-aze
* source group: Turkish
* target group: Azerbaijani
* OPUS readme: [tur-aze](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-aze/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): aze_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.aze | 27.7 | 0.551 |
### System Info:
- hf_name: tur-aze
- source_languages: tur
- target_languages: aze
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-aze/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'az']
- src_constituents: {'tur'}
- tgt_constituents: {'aze_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.test.txt
- src_alpha3: tur
- tgt_alpha3: aze
- short_pair: tr-az
- chrF2_score: 0.551
- bleu: 27.7
- brevity_penalty: 1.0
- ref_len: 5436.0
- src_name: Turkish
- tgt_name: Azerbaijani
- train_date: 2020-06-16
- src_alpha2: tr
- tgt_alpha2: az
- prefer_old: False
- long_pair: tur-aze
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tr", "az"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-az | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"az",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tr",
"az"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tur-aze
* source group: Turkish
* target group: Azerbaijani
* OPUS readme: tur-aze
* model: transformer-align
* source language(s): tur
* target language(s): aze\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.7, chr-F: 0.551
### System Info:
* hf\_name: tur-aze
* source\_languages: tur
* target\_languages: aze
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tr', 'az']
* src\_constituents: {'tur'}
* tgt\_constituents: {'aze\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tur
* tgt\_alpha3: aze
* short\_pair: tr-az
* chrF2\_score: 0.551
* bleu: 27.7
* brevity\_penalty: 1.0
* ref\_len: 5436.0
* src\_name: Turkish
* tgt\_name: Azerbaijani
* train\_date: 2020-06-16
* src\_alpha2: tr
* tgt\_alpha2: az
* prefer\_old: False
* long\_pair: tur-aze
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tur-aze\n\n\n* source group: Turkish\n* target group: Azerbaijani\n* OPUS readme: tur-aze\n* model: transformer-align\n* source language(s): tur\n* target language(s): aze\\_Latn\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: 27.7, chr-F: 0.551",
"### System Info:\n\n\n* hf\\_name: tur-aze\n* source\\_languages: tur\n* target\\_languages: aze\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'az']\n* src\\_constituents: {'tur'}\n* tgt\\_constituents: {'aze\\_Latn'}\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: tur\n* tgt\\_alpha3: aze\n* short\\_pair: tr-az\n* chrF2\\_score: 0.551\n* bleu: 27.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 5436.0\n* src\\_name: Turkish\n* tgt\\_name: Azerbaijani\n* train\\_date: 2020-06-16\n* src\\_alpha2: tr\n* tgt\\_alpha2: az\n* prefer\\_old: False\n* long\\_pair: tur-aze\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 #tr #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tur-aze\n\n\n* source group: Turkish\n* target group: Azerbaijani\n* OPUS readme: tur-aze\n* model: transformer-align\n* source language(s): tur\n* target language(s): aze\\_Latn\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: 27.7, chr-F: 0.551",
"### System Info:\n\n\n* hf\\_name: tur-aze\n* source\\_languages: tur\n* target\\_languages: aze\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'az']\n* src\\_constituents: {'tur'}\n* tgt\\_constituents: {'aze\\_Latn'}\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: tur\n* tgt\\_alpha3: aze\n* short\\_pair: tr-az\n* chrF2\\_score: 0.551\n* bleu: 27.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 5436.0\n* src\\_name: Turkish\n* tgt\\_name: Azerbaijani\n* train\\_date: 2020-06-16\n* src\\_alpha2: tr\n* tgt\\_alpha2: az\n* prefer\\_old: False\n* long\\_pair: tur-aze\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
129,
398
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tur-aze\n\n\n* source group: Turkish\n* target group: Azerbaijani\n* OPUS readme: tur-aze\n* model: transformer-align\n* source language(s): tur\n* target language(s): aze\\_Latn\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: 27.7, chr-F: 0.551"
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] |
null | null | transformers |
### opus-mt-tr-en
* source languages: tr
* target languages: en
* OPUS readme: [tr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr.tr.en | 27.6 | 0.548 |
| newstest2016-entr.tr.en | 25.2 | 0.532 |
| newstest2017-entr.tr.en | 24.7 | 0.530 |
| newstest2018-entr.tr.en | 27.0 | 0.547 |
| Tatoeba.tr.en | 63.5 | 0.760 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tr-en
* source languages: tr
* target languages: en
* OPUS readme: tr-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.6, chr-F: 0.548
testset: URL, BLEU: 25.2, chr-F: 0.532
testset: URL, BLEU: 24.7, chr-F: 0.530
testset: URL, BLEU: 27.0, chr-F: 0.547
testset: URL, BLEU: 63.5, chr-F: 0.760
| [
"### opus-mt-tr-en\n\n\n* source languages: tr\n* target languages: en\n* OPUS readme: tr-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: 0.548\ntestset: URL, BLEU: 25.2, chr-F: 0.532\ntestset: URL, BLEU: 24.7, chr-F: 0.530\ntestset: URL, BLEU: 27.0, chr-F: 0.547\ntestset: URL, BLEU: 63.5, chr-F: 0.760"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tr-en\n\n\n* source languages: tr\n* target languages: en\n* OPUS readme: tr-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: 0.548\ntestset: URL, BLEU: 25.2, chr-F: 0.532\ntestset: URL, BLEU: 24.7, chr-F: 0.530\ntestset: URL, BLEU: 27.0, chr-F: 0.547\ntestset: URL, BLEU: 63.5, chr-F: 0.760"
] | [
61,
168
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tr-en\n\n\n* source languages: tr\n* target languages: en\n* OPUS readme: tr-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: 0.548\ntestset: URL, BLEU: 25.2, chr-F: 0.532\ntestset: URL, BLEU: 24.7, chr-F: 0.530\ntestset: URL, BLEU: 27.0, chr-F: 0.547\ntestset: URL, BLEU: 63.5, chr-F: 0.760"
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null | null | transformers |
### tur-epo
* source group: Turkish
* target group: Esperanto
* OPUS readme: [tur-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-epo/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.epo | 17.0 | 0.373 |
### System Info:
- hf_name: tur-epo
- source_languages: tur
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'eo']
- src_constituents: {'tur'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.test.txt
- src_alpha3: tur
- tgt_alpha3: epo
- short_pair: tr-eo
- chrF2_score: 0.373
- bleu: 17.0
- brevity_penalty: 0.8809999999999999
- ref_len: 33762.0
- src_name: Turkish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: tr
- tgt_alpha2: eo
- prefer_old: False
- long_pair: tur-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tr", "eo"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-eo | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tr",
"eo"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tur-epo
* source group: Turkish
* target group: Esperanto
* OPUS readme: tur-epo
* model: transformer-align
* source language(s): tur
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 17.0, chr-F: 0.373
### System Info:
* hf\_name: tur-epo
* source\_languages: tur
* target\_languages: epo
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tr', 'eo']
* src\_constituents: {'tur'}
* tgt\_constituents: {'epo'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tur
* tgt\_alpha3: epo
* short\_pair: tr-eo
* chrF2\_score: 0.373
* bleu: 17.0
* brevity\_penalty: 0.8809999999999999
* ref\_len: 33762.0
* src\_name: Turkish
* tgt\_name: Esperanto
* train\_date: 2020-06-16
* src\_alpha2: tr
* tgt\_alpha2: eo
* prefer\_old: False
* long\_pair: tur-epo
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tur-epo\n\n\n* source group: Turkish\n* target group: Esperanto\n* OPUS readme: tur-epo\n* model: transformer-align\n* source language(s): tur\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: 17.0, chr-F: 0.373",
"### System Info:\n\n\n* hf\\_name: tur-epo\n* source\\_languages: tur\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'eo']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: epo\n* short\\_pair: tr-eo\n* chrF2\\_score: 0.373\n* bleu: 17.0\n* brevity\\_penalty: 0.8809999999999999\n* ref\\_len: 33762.0\n* src\\_name: Turkish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: tr\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: tur-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 #tr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tur-epo\n\n\n* source group: Turkish\n* target group: Esperanto\n* OPUS readme: tur-epo\n* model: transformer-align\n* source language(s): tur\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: 17.0, chr-F: 0.373",
"### System Info:\n\n\n* hf\\_name: tur-epo\n* source\\_languages: tur\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'eo']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: epo\n* short\\_pair: tr-eo\n* chrF2\\_score: 0.373\n* bleu: 17.0\n* brevity\\_penalty: 0.8809999999999999\n* ref\\_len: 33762.0\n* src\\_name: Turkish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: tr\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: tur-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
123,
398
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tur-epo\n\n\n* source group: Turkish\n* target group: Esperanto\n* OPUS readme: tur-epo\n* model: transformer-align\n* source language(s): tur\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: 17.0, chr-F: 0.373"
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] |
null | null | transformers |
### opus-mt-tr-es
* source languages: tr
* target languages: es
* OPUS readme: [tr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.tr.es | 56.3 | 0.722 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tr-es
* source languages: tr
* target languages: es
* OPUS readme: tr-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 56.3, chr-F: 0.722
| [
"### opus-mt-tr-es\n\n\n* source languages: tr\n* target languages: es\n* OPUS readme: tr-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: 56.3, chr-F: 0.722"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tr-es\n\n\n* source languages: tr\n* target languages: es\n* OPUS readme: tr-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: 56.3, chr-F: 0.722"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tr-es\n\n\n* source languages: tr\n* target languages: es\n* OPUS readme: tr-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: 56.3, chr-F: 0.722"
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null | null | transformers |
### opus-mt-tr-fr
* source languages: tr
* target languages: fr
* OPUS readme: [tr-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.tr.fr | 45.3 | 0.627 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tr-fr
* source languages: tr
* target languages: fr
* OPUS readme: tr-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 45.3, chr-F: 0.627
| [
"### opus-mt-tr-fr\n\n\n* source languages: tr\n* target languages: fr\n* OPUS readme: tr-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: 45.3, chr-F: 0.627"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tr-fr\n\n\n* source languages: tr\n* target languages: fr\n* OPUS readme: tr-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: 45.3, chr-F: 0.627"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tr-fr\n\n\n* source languages: tr\n* target languages: fr\n* OPUS readme: tr-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: 45.3, chr-F: 0.627"
] | [
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null | null | transformers |
### tur-lit
* source group: Turkish
* target group: Lithuanian
* OPUS readme: [tur-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-lit/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): lit
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.lit | 35.6 | 0.631 |
### System Info:
- hf_name: tur-lit
- source_languages: tur
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'lt']
- src_constituents: {'tur'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.test.txt
- src_alpha3: tur
- tgt_alpha3: lit
- short_pair: tr-lt
- chrF2_score: 0.631
- bleu: 35.6
- brevity_penalty: 0.9490000000000001
- ref_len: 8285.0
- src_name: Turkish
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: tr
- tgt_alpha2: lt
- prefer_old: False
- long_pair: tur-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tr", "lt"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-lt | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"tr",
"lt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tr",
"lt"
] | TAGS
#transformers #pytorch #marian #text2text-generation #translation #tr #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tur-lit
* source group: Turkish
* target group: Lithuanian
* OPUS readme: tur-lit
* model: transformer-align
* source language(s): tur
* target language(s): lit
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 35.6, chr-F: 0.631
### System Info:
* hf\_name: tur-lit
* source\_languages: tur
* target\_languages: lit
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tr', 'lt']
* src\_constituents: {'tur'}
* tgt\_constituents: {'lit'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tur
* tgt\_alpha3: lit
* short\_pair: tr-lt
* chrF2\_score: 0.631
* bleu: 35.6
* brevity\_penalty: 0.9490000000000001
* ref\_len: 8285.0
* src\_name: Turkish
* tgt\_name: Lithuanian
* train\_date: 2020-06-17
* src\_alpha2: tr
* tgt\_alpha2: lt
* prefer\_old: False
* long\_pair: tur-lit
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tur-lit\n\n\n* source group: Turkish\n* target group: Lithuanian\n* OPUS readme: tur-lit\n* model: transformer-align\n* source language(s): tur\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: 35.6, chr-F: 0.631",
"### System Info:\n\n\n* hf\\_name: tur-lit\n* source\\_languages: tur\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'lt']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: lit\n* short\\_pair: tr-lt\n* chrF2\\_score: 0.631\n* bleu: 35.6\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 8285.0\n* src\\_name: Turkish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: tr\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: tur-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 #marian #text2text-generation #translation #tr #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tur-lit\n\n\n* source group: Turkish\n* target group: Lithuanian\n* OPUS readme: tur-lit\n* model: transformer-align\n* source language(s): tur\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: 35.6, chr-F: 0.631",
"### System Info:\n\n\n* hf\\_name: tur-lit\n* source\\_languages: tur\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'lt']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: lit\n* short\\_pair: tr-lt\n* chrF2\\_score: 0.631\n* bleu: 35.6\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 8285.0\n* src\\_name: Turkish\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: tr\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: tur-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
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"passage: TAGS\n#transformers #pytorch #marian #text2text-generation #translation #tr #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tur-lit\n\n\n* source group: Turkish\n* target group: Lithuanian\n* OPUS readme: tur-lit\n* model: transformer-align\n* source language(s): tur\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: 35.6, chr-F: 0.631"
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] |
null | null | transformers |
### opus-mt-tr-sv
* source languages: tr
* target languages: sv
* OPUS readme: [tr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tr.sv | 26.3 | 0.478 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tr-sv
* source languages: tr
* target languages: sv
* OPUS readme: tr-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.3, chr-F: 0.478
| [
"### opus-mt-tr-sv\n\n\n* source languages: tr\n* target languages: sv\n* OPUS readme: tr-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: 26.3, chr-F: 0.478"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tr-sv\n\n\n* source languages: tr\n* target languages: sv\n* OPUS readme: tr-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: 26.3, chr-F: 0.478"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tr-sv\n\n\n* source languages: tr\n* target languages: sv\n* OPUS readme: tr-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: 26.3, chr-F: 0.478"
] | [
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null | null | transformers |
### tur-ukr
* source group: Turkish
* target group: Ukrainian
* OPUS readme: [tur-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ukr/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.ukr | 42.5 | 0.624 |
### System Info:
- hf_name: tur-ukr
- source_languages: tur
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'uk']
- src_constituents: {'tur'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.test.txt
- src_alpha3: tur
- tgt_alpha3: ukr
- short_pair: tr-uk
- chrF2_score: 0.624
- bleu: 42.5
- brevity_penalty: 0.983
- ref_len: 12988.0
- src_name: Turkish
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: tr
- tgt_alpha2: uk
- prefer_old: False
- long_pair: tur-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tr", "uk"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tr-uk | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tr",
"uk"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### tur-ukr
* source group: Turkish
* target group: Ukrainian
* OPUS readme: tur-ukr
* model: transformer-align
* source language(s): tur
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 42.5, chr-F: 0.624
### System Info:
* hf\_name: tur-ukr
* source\_languages: tur
* target\_languages: ukr
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tr', 'uk']
* src\_constituents: {'tur'}
* tgt\_constituents: {'ukr'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: tur
* tgt\_alpha3: ukr
* short\_pair: tr-uk
* chrF2\_score: 0.624
* bleu: 42.5
* brevity\_penalty: 0.983
* ref\_len: 12988.0
* src\_name: Turkish
* tgt\_name: Ukrainian
* train\_date: 2020-06-17
* src\_alpha2: tr
* tgt\_alpha2: uk
* prefer\_old: False
* long\_pair: tur-ukr
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### tur-ukr\n\n\n* source group: Turkish\n* target group: Ukrainian\n* OPUS readme: tur-ukr\n* model: transformer-align\n* source language(s): tur\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: 42.5, chr-F: 0.624",
"### System Info:\n\n\n* hf\\_name: tur-ukr\n* source\\_languages: tur\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'uk']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: ukr\n* short\\_pair: tr-uk\n* chrF2\\_score: 0.624\n* bleu: 42.5\n* brevity\\_penalty: 0.983\n* ref\\_len: 12988.0\n* src\\_name: Turkish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: tr\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: tur-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 #tr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### tur-ukr\n\n\n* source group: Turkish\n* target group: Ukrainian\n* OPUS readme: tur-ukr\n* model: transformer-align\n* source language(s): tur\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: 42.5, chr-F: 0.624",
"### System Info:\n\n\n* hf\\_name: tur-ukr\n* source\\_languages: tur\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tr', 'uk']\n* src\\_constituents: {'tur'}\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: tur\n* tgt\\_alpha3: ukr\n* short\\_pair: tr-uk\n* chrF2\\_score: 0.624\n* bleu: 42.5\n* brevity\\_penalty: 0.983\n* ref\\_len: 12988.0\n* src\\_name: Turkish\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: tr\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: tur-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### tur-ukr\n\n\n* source group: Turkish\n* target group: Ukrainian\n* OPUS readme: tur-ukr\n* model: transformer-align\n* source language(s): tur\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: 42.5, chr-F: 0.624"
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null | null | transformers |
### trk-eng
* source group: Turkic languages
* target group: English
* OPUS readme: [trk-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/trk-eng/README.md)
* model: transformer
* source language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-tureng.tur.eng | 5.0 | 0.242 |
| newstest2016-entr-tureng.tur.eng | 3.7 | 0.231 |
| newstest2017-entr-tureng.tur.eng | 3.7 | 0.229 |
| newstest2018-entr-tureng.tur.eng | 4.1 | 0.230 |
| Tatoeba-test.aze-eng.aze.eng | 15.1 | 0.330 |
| Tatoeba-test.bak-eng.bak.eng | 3.3 | 0.185 |
| Tatoeba-test.chv-eng.chv.eng | 1.3 | 0.161 |
| Tatoeba-test.crh-eng.crh.eng | 10.8 | 0.325 |
| Tatoeba-test.kaz-eng.kaz.eng | 9.6 | 0.264 |
| Tatoeba-test.kir-eng.kir.eng | 15.3 | 0.328 |
| Tatoeba-test.kjh-eng.kjh.eng | 1.8 | 0.121 |
| Tatoeba-test.kum-eng.kum.eng | 16.1 | 0.277 |
| Tatoeba-test.multi.eng | 12.0 | 0.304 |
| Tatoeba-test.ota-eng.ota.eng | 2.0 | 0.149 |
| Tatoeba-test.sah-eng.sah.eng | 0.7 | 0.140 |
| Tatoeba-test.tat-eng.tat.eng | 4.0 | 0.215 |
| Tatoeba-test.tuk-eng.tuk.eng | 5.5 | 0.243 |
| Tatoeba-test.tur-eng.tur.eng | 26.8 | 0.443 |
| Tatoeba-test.tyv-eng.tyv.eng | 1.3 | 0.111 |
| Tatoeba-test.uig-eng.uig.eng | 0.2 | 0.111 |
| Tatoeba-test.uzb-eng.uzb.eng | 4.6 | 0.195 |
### System Info:
- hf_name: trk-eng
- source_languages: trk
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/trk-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
- src_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt
- src_alpha3: trk
- tgt_alpha3: eng
- short_pair: trk-en
- chrF2_score: 0.304
- bleu: 12.0
- brevity_penalty: 1.0
- ref_len: 18733.0
- src_name: Turkic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: trk
- tgt_alpha2: en
- prefer_old: False
- long_pair: trk-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["tt", "cv", "tk", "tr", "ba", "trk", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-trk-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tt",
"cv",
"tk",
"tr",
"ba",
"trk",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"tt",
"cv",
"tk",
"tr",
"ba",
"trk",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tt #cv #tk #tr #ba #trk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### trk-eng
* source group: Turkic languages
* target group: English
* OPUS readme: trk-eng
* model: transformer
* source language(s): aze\_Latn bak chv crh crh\_Latn kaz\_Cyrl kaz\_Latn kir\_Cyrl kjh kum ota\_Arab ota\_Latn sah tat tat\_Arab tat\_Latn tuk tuk\_Latn tur tyv uig\_Arab uig\_Cyrl uzb\_Cyrl uzb\_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 5.0, chr-F: 0.242
testset: URL, BLEU: 3.7, chr-F: 0.231
testset: URL, BLEU: 3.7, chr-F: 0.229
testset: URL, BLEU: 4.1, chr-F: 0.230
testset: URL, BLEU: 15.1, chr-F: 0.330
testset: URL, BLEU: 3.3, chr-F: 0.185
testset: URL, BLEU: 1.3, chr-F: 0.161
testset: URL, BLEU: 10.8, chr-F: 0.325
testset: URL, BLEU: 9.6, chr-F: 0.264
testset: URL, BLEU: 15.3, chr-F: 0.328
testset: URL, BLEU: 1.8, chr-F: 0.121
testset: URL, BLEU: 16.1, chr-F: 0.277
testset: URL, BLEU: 12.0, chr-F: 0.304
testset: URL, BLEU: 2.0, chr-F: 0.149
testset: URL, BLEU: 0.7, chr-F: 0.140
testset: URL, BLEU: 4.0, chr-F: 0.215
testset: URL, BLEU: 5.5, chr-F: 0.243
testset: URL, BLEU: 26.8, chr-F: 0.443
testset: URL, BLEU: 1.3, chr-F: 0.111
testset: URL, BLEU: 0.2, chr-F: 0.111
testset: URL, BLEU: 4.6, chr-F: 0.195
### System Info:
* hf\_name: trk-eng
* source\_languages: trk
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
* src\_constituents: {'kir\_Cyrl', 'tat\_Latn', 'tat', 'chv', 'uzb\_Cyrl', 'kaz\_Latn', 'aze\_Latn', 'crh', 'kjh', 'uzb\_Latn', 'ota\_Arab', 'tuk\_Latn', 'tuk', 'tat\_Arab', 'sah', 'tyv', 'tur', 'uig\_Arab', 'crh\_Latn', 'kaz\_Cyrl', 'uig\_Cyrl', 'kum', 'ota\_Latn', 'bak'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: trk
* tgt\_alpha3: eng
* short\_pair: trk-en
* chrF2\_score: 0.304
* bleu: 12.0
* brevity\_penalty: 1.0
* ref\_len: 18733.0
* src\_name: Turkic languages
* tgt\_name: English
* train\_date: 2020-08-01
* src\_alpha2: trk
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: trk-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### trk-eng\n\n\n* source group: Turkic languages\n* target group: English\n* OPUS readme: trk-eng\n* model: transformer\n* source language(s): aze\\_Latn bak chv crh crh\\_Latn kaz\\_Cyrl kaz\\_Latn kir\\_Cyrl kjh kum ota\\_Arab ota\\_Latn sah tat tat\\_Arab tat\\_Latn tuk tuk\\_Latn tur tyv uig\\_Arab uig\\_Cyrl uzb\\_Cyrl uzb\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 5.0, chr-F: 0.242\ntestset: URL, BLEU: 3.7, chr-F: 0.231\ntestset: URL, BLEU: 3.7, chr-F: 0.229\ntestset: URL, BLEU: 4.1, chr-F: 0.230\ntestset: URL, BLEU: 15.1, chr-F: 0.330\ntestset: URL, BLEU: 3.3, chr-F: 0.185\ntestset: URL, BLEU: 1.3, chr-F: 0.161\ntestset: URL, BLEU: 10.8, chr-F: 0.325\ntestset: URL, BLEU: 9.6, chr-F: 0.264\ntestset: URL, BLEU: 15.3, chr-F: 0.328\ntestset: URL, BLEU: 1.8, chr-F: 0.121\ntestset: URL, BLEU: 16.1, chr-F: 0.277\ntestset: URL, BLEU: 12.0, chr-F: 0.304\ntestset: URL, BLEU: 2.0, chr-F: 0.149\ntestset: URL, BLEU: 0.7, chr-F: 0.140\ntestset: URL, BLEU: 4.0, chr-F: 0.215\ntestset: URL, BLEU: 5.5, chr-F: 0.243\ntestset: URL, BLEU: 26.8, chr-F: 0.443\ntestset: URL, BLEU: 1.3, chr-F: 0.111\ntestset: URL, BLEU: 0.2, chr-F: 0.111\ntestset: URL, BLEU: 4.6, chr-F: 0.195",
"### System Info:\n\n\n* hf\\_name: trk-eng\n* source\\_languages: trk\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']\n* src\\_constituents: {'kir\\_Cyrl', 'tat\\_Latn', 'tat', 'chv', 'uzb\\_Cyrl', 'kaz\\_Latn', 'aze\\_Latn', 'crh', 'kjh', 'uzb\\_Latn', 'ota\\_Arab', 'tuk\\_Latn', 'tuk', 'tat\\_Arab', 'sah', 'tyv', 'tur', 'uig\\_Arab', 'crh\\_Latn', 'kaz\\_Cyrl', 'uig\\_Cyrl', 'kum', 'ota\\_Latn', 'bak'}\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: trk\n* tgt\\_alpha3: eng\n* short\\_pair: trk-en\n* chrF2\\_score: 0.304\n* bleu: 12.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 18733.0\n* src\\_name: Turkic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: trk\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: trk-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 #tt #cv #tk #tr #ba #trk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### trk-eng\n\n\n* source group: Turkic languages\n* target group: English\n* OPUS readme: trk-eng\n* model: transformer\n* source language(s): aze\\_Latn bak chv crh crh\\_Latn kaz\\_Cyrl kaz\\_Latn kir\\_Cyrl kjh kum ota\\_Arab ota\\_Latn sah tat tat\\_Arab tat\\_Latn tuk tuk\\_Latn tur tyv uig\\_Arab uig\\_Cyrl uzb\\_Cyrl uzb\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 5.0, chr-F: 0.242\ntestset: URL, BLEU: 3.7, chr-F: 0.231\ntestset: URL, BLEU: 3.7, chr-F: 0.229\ntestset: URL, BLEU: 4.1, chr-F: 0.230\ntestset: URL, BLEU: 15.1, chr-F: 0.330\ntestset: URL, BLEU: 3.3, chr-F: 0.185\ntestset: URL, BLEU: 1.3, chr-F: 0.161\ntestset: URL, BLEU: 10.8, chr-F: 0.325\ntestset: URL, BLEU: 9.6, chr-F: 0.264\ntestset: URL, BLEU: 15.3, chr-F: 0.328\ntestset: URL, BLEU: 1.8, chr-F: 0.121\ntestset: URL, BLEU: 16.1, chr-F: 0.277\ntestset: URL, BLEU: 12.0, chr-F: 0.304\ntestset: URL, BLEU: 2.0, chr-F: 0.149\ntestset: URL, BLEU: 0.7, chr-F: 0.140\ntestset: URL, BLEU: 4.0, chr-F: 0.215\ntestset: URL, BLEU: 5.5, chr-F: 0.243\ntestset: URL, BLEU: 26.8, chr-F: 0.443\ntestset: URL, BLEU: 1.3, chr-F: 0.111\ntestset: URL, BLEU: 0.2, chr-F: 0.111\ntestset: URL, BLEU: 4.6, chr-F: 0.195",
"### System Info:\n\n\n* hf\\_name: trk-eng\n* source\\_languages: trk\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']\n* src\\_constituents: {'kir\\_Cyrl', 'tat\\_Latn', 'tat', 'chv', 'uzb\\_Cyrl', 'kaz\\_Latn', 'aze\\_Latn', 'crh', 'kjh', 'uzb\\_Latn', 'ota\\_Arab', 'tuk\\_Latn', 'tuk', 'tat\\_Arab', 'sah', 'tyv', 'tur', 'uig\\_Arab', 'crh\\_Latn', 'kaz\\_Cyrl', 'uig\\_Cyrl', 'kum', 'ota\\_Latn', 'bak'}\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: trk\n* tgt\\_alpha3: eng\n* short\\_pair: trk-en\n* chrF2\\_score: 0.304\n* bleu: 12.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 18733.0\n* src\\_name: Turkic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: trk\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: trk-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
73,
553,
583
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tt #cv #tk #tr #ba #trk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"passage: ### trk-eng\n\n\n* source group: Turkic languages\n* target group: English\n* OPUS readme: trk-eng\n* model: transformer\n* source language(s): aze\\_Latn bak chv crh crh\\_Latn kaz\\_Cyrl kaz\\_Latn kir\\_Cyrl kjh kum ota\\_Arab ota\\_Latn sah tat tat\\_Arab tat\\_Latn tuk tuk\\_Latn tur tyv uig\\_Arab uig\\_Cyrl uzb\\_Cyrl uzb\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 5.0, chr-F: 0.242\ntestset: URL, BLEU: 3.7, chr-F: 0.231\ntestset: URL, BLEU: 3.7, chr-F: 0.229\ntestset: URL, BLEU: 4.1, chr-F: 0.230\ntestset: URL, BLEU: 15.1, chr-F: 0.330\ntestset: URL, BLEU: 3.3, chr-F: 0.185\ntestset: URL, BLEU: 1.3, chr-F: 0.161\ntestset: URL, BLEU: 10.8, chr-F: 0.325\ntestset: URL, BLEU: 9.6, chr-F: 0.264\ntestset: URL, BLEU: 15.3, chr-F: 0.328\ntestset: URL, BLEU: 1.8, chr-F: 0.121\ntestset: URL, BLEU: 16.1, chr-F: 0.277\ntestset: URL, BLEU: 12.0, chr-F: 0.304\ntestset: URL, BLEU: 2.0, chr-F: 0.149\ntestset: URL, BLEU: 0.7, chr-F: 0.140\ntestset: URL, BLEU: 4.0, chr-F: 0.215\ntestset: URL, BLEU: 5.5, chr-F: 0.243\ntestset: URL, BLEU: 26.8, chr-F: 0.443\ntestset: URL, BLEU: 1.3, chr-F: 0.111\ntestset: URL, BLEU: 0.2, chr-F: 0.111\ntestset: URL, BLEU: 4.6, chr-F: 0.195"
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null | null | transformers |
### opus-mt-ts-en
* source languages: ts
* target languages: en
* OPUS readme: [ts-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.en | 44.0 | 0.590 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ts-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ts",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ts #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ts-en
* source languages: ts
* target languages: en
* OPUS readme: ts-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 44.0, chr-F: 0.590
| [
"### opus-mt-ts-en\n\n\n* source languages: ts\n* target languages: en\n* OPUS readme: ts-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: 44.0, chr-F: 0.590"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ts-en\n\n\n* source languages: ts\n* target languages: en\n* OPUS readme: ts-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: 44.0, chr-F: 0.590"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ts-en\n\n\n* source languages: ts\n* target languages: en\n* OPUS readme: ts-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: 44.0, chr-F: 0.590"
] | [
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] |
null | null | transformers |
### opus-mt-ts-es
* source languages: ts
* target languages: es
* OPUS readme: [ts-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.es | 28.1 | 0.468 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ts-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ts",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ts #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ts-es
* source languages: ts
* target languages: es
* OPUS readme: ts-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.1, chr-F: 0.468
| [
"### opus-mt-ts-es\n\n\n* source languages: ts\n* target languages: es\n* OPUS readme: ts-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: 28.1, chr-F: 0.468"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ts-es\n\n\n* source languages: ts\n* target languages: es\n* OPUS readme: ts-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: 28.1, chr-F: 0.468"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ts-es\n\n\n* source languages: ts\n* target languages: es\n* OPUS readme: ts-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: 28.1, chr-F: 0.468"
] | [
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] |
null | null | transformers |
### opus-mt-ts-fi
* source languages: ts
* target languages: fi
* OPUS readme: [ts-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fi | 27.7 | 0.509 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ts-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ts",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ts #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ts-fi
* source languages: ts
* target languages: fi
* OPUS readme: ts-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.7, chr-F: 0.509
| [
"### opus-mt-ts-fi\n\n\n* source languages: ts\n* target languages: fi\n* OPUS readme: ts-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: 0.509"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ts-fi\n\n\n* source languages: ts\n* target languages: fi\n* OPUS readme: ts-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: 0.509"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ts-fi\n\n\n* source languages: ts\n* target languages: fi\n* OPUS readme: ts-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: 0.509"
] | [
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] |
null | null | transformers |
### opus-mt-ts-fr
* source languages: ts
* target languages: fr
* OPUS readme: [ts-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fr | 29.9 | 0.475 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ts-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ts",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ts #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ts-fr
* source languages: ts
* target languages: fr
* OPUS readme: ts-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.9, chr-F: 0.475
| [
"### opus-mt-ts-fr\n\n\n* source languages: ts\n* target languages: fr\n* OPUS readme: ts-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.9, chr-F: 0.475"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ts-fr\n\n\n* source languages: ts\n* target languages: fr\n* OPUS readme: ts-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.9, chr-F: 0.475"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ts-fr\n\n\n* source languages: ts\n* target languages: fr\n* OPUS readme: ts-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.9, chr-F: 0.475"
] | [
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] |
null | null | transformers |
### opus-mt-ts-sv
* source languages: ts
* target languages: sv
* OPUS readme: [ts-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.sv | 32.6 | 0.510 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ts-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ts",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ts #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ts-sv
* source languages: ts
* target languages: sv
* OPUS readme: ts-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 32.6, chr-F: 0.510
| [
"### opus-mt-ts-sv\n\n\n* source languages: ts\n* target languages: sv\n* OPUS readme: ts-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: 32.6, chr-F: 0.510"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ts-sv\n\n\n* source languages: ts\n* target languages: sv\n* OPUS readme: ts-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: 32.6, chr-F: 0.510"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ts #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ts-sv\n\n\n* source languages: ts\n* target languages: sv\n* OPUS readme: ts-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: 32.6, chr-F: 0.510"
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null | null | transformers |
### opus-mt-tum-en
* source languages: tum
* target languages: en
* OPUS readme: [tum-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.en | 31.7 | 0.470 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tum-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tum",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tum #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tum-en
* source languages: tum
* target languages: en
* OPUS readme: tum-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.7, chr-F: 0.470
| [
"### opus-mt-tum-en\n\n\n* source languages: tum\n* target languages: en\n* OPUS readme: tum-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.7, chr-F: 0.470"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tum-en\n\n\n* source languages: tum\n* target languages: en\n* OPUS readme: tum-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.7, chr-F: 0.470"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tum-en\n\n\n* source languages: tum\n* target languages: en\n* OPUS readme: tum-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.7, chr-F: 0.470"
] | [
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null | null | transformers |
### opus-mt-tum-es
* source languages: tum
* target languages: es
* OPUS readme: [tum-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.es | 22.6 | 0.390 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tum-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tum",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tum #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tum-es
* source languages: tum
* target languages: es
* OPUS readme: tum-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.6, chr-F: 0.390
| [
"### opus-mt-tum-es\n\n\n* source languages: tum\n* target languages: es\n* OPUS readme: tum-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: 22.6, chr-F: 0.390"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tum-es\n\n\n* source languages: tum\n* target languages: es\n* OPUS readme: tum-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: 22.6, chr-F: 0.390"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tum-es\n\n\n* source languages: tum\n* target languages: es\n* OPUS readme: tum-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: 22.6, chr-F: 0.390"
] | [
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] |
null | null | transformers |
### opus-mt-tum-fr
* source languages: tum
* target languages: fr
* OPUS readme: [tum-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.fr | 24.0 | 0.403 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tum-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tum",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tum #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tum-fr
* source languages: tum
* target languages: fr
* OPUS readme: tum-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.0, chr-F: 0.403
| [
"### opus-mt-tum-fr\n\n\n* source languages: tum\n* target languages: fr\n* OPUS readme: tum-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.403"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tum-fr\n\n\n* source languages: tum\n* target languages: fr\n* OPUS readme: tum-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.403"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tum-fr\n\n\n* source languages: tum\n* target languages: fr\n* OPUS readme: tum-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.403"
] | [
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] |
null | null | transformers |
### opus-mt-tum-sv
* source languages: tum
* target languages: sv
* OPUS readme: [tum-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tum-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.sv | 23.3 | 0.410 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tum-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tum",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tum #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tum-sv
* source languages: tum
* target languages: sv
* OPUS readme: tum-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.3, chr-F: 0.410
| [
"### opus-mt-tum-sv\n\n\n* source languages: tum\n* target languages: sv\n* OPUS readme: tum-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.410"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tum-sv\n\n\n* source languages: tum\n* target languages: sv\n* OPUS readme: tum-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.410"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tum #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tum-sv\n\n\n* source languages: tum\n* target languages: sv\n* OPUS readme: tum-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.410"
] | [
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] |
null | null | transformers |
### opus-mt-tvl-en
* source languages: tvl
* target languages: en
* OPUS readme: [tvl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/tvl-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.en | 37.3 | 0.528 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tvl-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tvl",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tvl-en
* source languages: tvl
* target languages: en
* OPUS readme: tvl-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 37.3, chr-F: 0.528
| [
"### opus-mt-tvl-en\n\n\n* source languages: tvl\n* target languages: en\n* OPUS readme: tvl-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: 37.3, chr-F: 0.528"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tvl-en\n\n\n* source languages: tvl\n* target languages: en\n* OPUS readme: tvl-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: 37.3, chr-F: 0.528"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tvl-en\n\n\n* source languages: tvl\n* target languages: en\n* OPUS readme: tvl-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: 37.3, chr-F: 0.528"
] | [
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] |
null | null | transformers |
### opus-mt-tvl-es
* source languages: tvl
* target languages: es
* OPUS readme: [tvl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tvl-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.es | 21.0 | 0.388 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tvl-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tvl",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tvl-es
* source languages: tvl
* target languages: es
* OPUS readme: tvl-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.0, chr-F: 0.388
| [
"### opus-mt-tvl-es\n\n\n* source languages: tvl\n* target languages: es\n* OPUS readme: tvl-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: 21.0, chr-F: 0.388"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tvl-es\n\n\n* source languages: tvl\n* target languages: es\n* OPUS readme: tvl-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: 21.0, chr-F: 0.388"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tvl-es\n\n\n* source languages: tvl\n* target languages: es\n* OPUS readme: tvl-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: 21.0, chr-F: 0.388"
] | [
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] |
null | null | transformers |
### opus-mt-tvl-fi
* source languages: tvl
* target languages: fi
* OPUS readme: [tvl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fi | 22.0 | 0.439 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tvl-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tvl",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tvl-fi
* source languages: tvl
* target languages: fi
* OPUS readme: tvl-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.0, chr-F: 0.439
| [
"### opus-mt-tvl-fi\n\n\n* source languages: tvl\n* target languages: fi\n* OPUS readme: tvl-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: 22.0, chr-F: 0.439"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tvl-fi\n\n\n* source languages: tvl\n* target languages: fi\n* OPUS readme: tvl-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: 22.0, chr-F: 0.439"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tvl-fi\n\n\n* source languages: tvl\n* target languages: fi\n* OPUS readme: tvl-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: 22.0, chr-F: 0.439"
] | [
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] |
null | null | transformers |
### opus-mt-tvl-fr
* source languages: tvl
* target languages: fr
* OPUS readme: [tvl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fr | 24.0 | 0.410 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tvl-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tvl",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tvl-fr
* source languages: tvl
* target languages: fr
* OPUS readme: tvl-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.0, chr-F: 0.410
| [
"### opus-mt-tvl-fr\n\n\n* source languages: tvl\n* target languages: fr\n* OPUS readme: tvl-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.410"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tvl-fr\n\n\n* source languages: tvl\n* target languages: fr\n* OPUS readme: tvl-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.410"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tvl-fr\n\n\n* source languages: tvl\n* target languages: fr\n* OPUS readme: tvl-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.410"
] | [
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null | null | transformers |
### opus-mt-tvl-sv
* source languages: tvl
* target languages: sv
* OPUS readme: [tvl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.sv | 24.7 | 0.427 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tvl-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tvl",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tvl-sv
* source languages: tvl
* target languages: sv
* OPUS readme: tvl-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.7, chr-F: 0.427
| [
"### opus-mt-tvl-sv\n\n\n* source languages: tvl\n* target languages: sv\n* OPUS readme: tvl-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: 24.7, chr-F: 0.427"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tvl-sv\n\n\n* source languages: tvl\n* target languages: sv\n* OPUS readme: tvl-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: 24.7, chr-F: 0.427"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tvl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tvl-sv\n\n\n* source languages: tvl\n* target languages: sv\n* OPUS readme: tvl-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: 24.7, chr-F: 0.427"
] | [
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null | null | transformers |
### opus-mt-tw-es
* source languages: tw
* target languages: es
* OPUS readme: [tw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tw-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.es | 25.9 | 0.441 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tw-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tw",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tw-es
* source languages: tw
* target languages: es
* OPUS readme: tw-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.9, chr-F: 0.441
| [
"### opus-mt-tw-es\n\n\n* source languages: tw\n* target languages: es\n* OPUS readme: tw-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: 25.9, chr-F: 0.441"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tw-es\n\n\n* source languages: tw\n* target languages: es\n* OPUS readme: tw-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: 25.9, chr-F: 0.441"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tw-es\n\n\n* source languages: tw\n* target languages: es\n* OPUS readme: tw-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: 25.9, chr-F: 0.441"
] | [
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] |
null | null | transformers |
### opus-mt-tw-fi
* source languages: tw
* target languages: fi
* OPUS readme: [tw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.fi | 25.6 | 0.488 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tw-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tw",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tw #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tw-fi
* source languages: tw
* target languages: fi
* OPUS readme: tw-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.6, chr-F: 0.488
| [
"### opus-mt-tw-fi\n\n\n* source languages: tw\n* target languages: fi\n* OPUS readme: tw-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.488"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tw-fi\n\n\n* source languages: tw\n* target languages: fi\n* OPUS readme: tw-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.488"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tw-fi\n\n\n* source languages: tw\n* target languages: fi\n* OPUS readme: tw-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.488"
] | [
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] |
null | null | transformers |
### opus-mt-tw-fr
* source languages: tw
* target languages: fr
* OPUS readme: [tw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tw-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.fr | 26.7 | 0.442 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tw-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tw",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tw-fr
* source languages: tw
* target languages: fr
* OPUS readme: tw-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.7, chr-F: 0.442
| [
"### opus-mt-tw-fr\n\n\n* source languages: tw\n* target languages: fr\n* OPUS readme: tw-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: 26.7, chr-F: 0.442"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tw-fr\n\n\n* source languages: tw\n* target languages: fr\n* OPUS readme: tw-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: 26.7, chr-F: 0.442"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tw-fr\n\n\n* source languages: tw\n* target languages: fr\n* OPUS readme: tw-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: 26.7, chr-F: 0.442"
] | [
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] |
null | null | transformers |
### opus-mt-tw-sv
* source languages: tw
* target languages: sv
* OPUS readme: [tw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.sv | 29.0 | 0.471 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tw-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tw",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tw-sv
* source languages: tw
* target languages: sv
* OPUS readme: tw-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.0, chr-F: 0.471
| [
"### opus-mt-tw-sv\n\n\n* source languages: tw\n* target languages: sv\n* OPUS readme: tw-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: 29.0, chr-F: 0.471"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tw-sv\n\n\n* source languages: tw\n* target languages: sv\n* OPUS readme: tw-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: 29.0, chr-F: 0.471"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tw-sv\n\n\n* source languages: tw\n* target languages: sv\n* OPUS readme: tw-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: 29.0, chr-F: 0.471"
] | [
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] |
null | null | transformers |
### opus-mt-ty-es
* source languages: ty
* target languages: es
* OPUS readme: [ty-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.es | 27.3 | 0.457 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ty-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ty",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ty #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ty-es
* source languages: ty
* target languages: es
* OPUS readme: ty-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.3, chr-F: 0.457
| [
"### opus-mt-ty-es\n\n\n* source languages: ty\n* target languages: es\n* OPUS readme: ty-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: 27.3, chr-F: 0.457"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ty-es\n\n\n* source languages: ty\n* target languages: es\n* OPUS readme: ty-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: 27.3, chr-F: 0.457"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ty-es\n\n\n* source languages: ty\n* target languages: es\n* OPUS readme: ty-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: 27.3, chr-F: 0.457"
] | [
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] |
null | null | transformers |
### opus-mt-ty-fi
* source languages: ty
* target languages: fi
* OPUS readme: [ty-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ty-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.fi | 21.7 | 0.451 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ty-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ty",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ty #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ty-fi
* source languages: ty
* target languages: fi
* OPUS readme: ty-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.7, chr-F: 0.451
| [
"### opus-mt-ty-fi\n\n\n* source languages: ty\n* target languages: fi\n* OPUS readme: ty-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: 21.7, chr-F: 0.451"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ty-fi\n\n\n* source languages: ty\n* target languages: fi\n* OPUS readme: ty-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: 21.7, chr-F: 0.451"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ty-fi\n\n\n* source languages: ty\n* target languages: fi\n* OPUS readme: ty-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: 21.7, chr-F: 0.451"
] | [
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] |
null | null | transformers |
### opus-mt-ty-fr
* source languages: ty
* target languages: fr
* OPUS readme: [ty-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ty-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.fr | 30.2 | 0.480 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ty-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ty",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ty #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ty-fr
* source languages: ty
* target languages: fr
* OPUS readme: ty-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.2, chr-F: 0.480
| [
"### opus-mt-ty-fr\n\n\n* source languages: ty\n* target languages: fr\n* OPUS readme: ty-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: 30.2, chr-F: 0.480"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ty-fr\n\n\n* source languages: ty\n* target languages: fr\n* OPUS readme: ty-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: 30.2, chr-F: 0.480"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ty-fr\n\n\n* source languages: ty\n* target languages: fr\n* OPUS readme: ty-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: 30.2, chr-F: 0.480"
] | [
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] |
null | null | transformers |
### opus-mt-ty-sv
* source languages: ty
* target languages: sv
* OPUS readme: [ty-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.sv | 28.9 | 0.472 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ty-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ty",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ty #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ty-sv
* source languages: ty
* target languages: sv
* OPUS readme: ty-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.9, chr-F: 0.472
| [
"### opus-mt-ty-sv\n\n\n* source languages: ty\n* target languages: sv\n* OPUS readme: ty-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: 28.9, chr-F: 0.472"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ty-sv\n\n\n* source languages: ty\n* target languages: sv\n* OPUS readme: ty-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: 28.9, chr-F: 0.472"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ty #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ty-sv\n\n\n* source languages: ty\n* target languages: sv\n* OPUS readme: ty-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: 28.9, chr-F: 0.472"
] | [
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null | null | transformers |
### opus-mt-tzo-es
* source languages: tzo
* target languages: es
* OPUS readme: [tzo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tzo-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tzo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tzo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tzo-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tzo.es | 20.8 | 0.381 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-tzo-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tzo",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #tzo #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-tzo-es
* source languages: tzo
* target languages: es
* OPUS readme: tzo-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 20.8, chr-F: 0.381
| [
"### opus-mt-tzo-es\n\n\n* source languages: tzo\n* target languages: es\n* OPUS readme: tzo-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.8, chr-F: 0.381"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tzo #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-tzo-es\n\n\n* source languages: tzo\n* target languages: es\n* OPUS readme: tzo-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.8, chr-F: 0.381"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #tzo #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-tzo-es\n\n\n* source languages: tzo\n* target languages: es\n* OPUS readme: tzo-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.8, chr-F: 0.381"
] | [
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null | null | transformers |
### ukr-bul
* source group: Ukrainian
* target group: Bulgarian
* OPUS readme: [ukr-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-bul/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): bul
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.bul | 55.7 | 0.734 |
### System Info:
- hf_name: ukr-bul
- source_languages: ukr
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'bg']
- src_constituents: {'ukr'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: bul
- short_pair: uk-bg
- chrF2_score: 0.7340000000000001
- bleu: 55.7
- brevity_penalty: 0.976
- ref_len: 5181.0
- src_name: Ukrainian
- tgt_name: Bulgarian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: bg
- prefer_old: False
- long_pair: ukr-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "bg"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-bg | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"bg"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-bul
* source group: Ukrainian
* target group: Bulgarian
* OPUS readme: ukr-bul
* model: transformer-align
* source language(s): ukr
* target language(s): bul
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 55.7, chr-F: 0.734
### System Info:
* hf\_name: ukr-bul
* source\_languages: ukr
* target\_languages: bul
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'bg']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'bul', 'bul\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: bul
* short\_pair: uk-bg
* chrF2\_score: 0.7340000000000001
* bleu: 55.7
* brevity\_penalty: 0.976
* ref\_len: 5181.0
* src\_name: Ukrainian
* tgt\_name: Bulgarian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: bg
* prefer\_old: False
* long\_pair: ukr-bul
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-bul\n\n\n* source group: Ukrainian\n* target group: Bulgarian\n* OPUS readme: ukr-bul\n* model: transformer-align\n* source language(s): ukr\n* target language(s): bul\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: 55.7, chr-F: 0.734",
"### System Info:\n\n\n* hf\\_name: ukr-bul\n* source\\_languages: ukr\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'bg']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ukr\n* tgt\\_alpha3: bul\n* short\\_pair: uk-bg\n* chrF2\\_score: 0.7340000000000001\n* bleu: 55.7\n* brevity\\_penalty: 0.976\n* ref\\_len: 5181.0\n* src\\_name: Ukrainian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ukr-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-bul\n\n\n* source group: Ukrainian\n* target group: Bulgarian\n* OPUS readme: ukr-bul\n* model: transformer-align\n* source language(s): ukr\n* target language(s): bul\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: 55.7, chr-F: 0.734",
"### System Info:\n\n\n* hf\\_name: ukr-bul\n* source\\_languages: ukr\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'bg']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ukr\n* tgt\\_alpha3: bul\n* short\\_pair: uk-bg\n* chrF2\\_score: 0.7340000000000001\n* bleu: 55.7\n* brevity\\_penalty: 0.976\n* ref\\_len: 5181.0\n* src\\_name: Ukrainian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ukr-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
122,
404
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-bul\n\n\n* source group: Ukrainian\n* target group: Bulgarian\n* OPUS readme: ukr-bul\n* model: transformer-align\n* source language(s): ukr\n* target language(s): bul\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: 55.7, chr-F: 0.734"
] | [
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null | null | transformers |
### ukr-cat
* source group: Ukrainian
* target group: Catalan
* OPUS readme: [ukr-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-cat/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.cat | 33.7 | 0.538 |
### System Info:
- hf_name: ukr-cat
- source_languages: ukr
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'ca']
- src_constituents: {'ukr'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.test.txt
- src_alpha3: ukr
- tgt_alpha3: cat
- short_pair: uk-ca
- chrF2_score: 0.5379999999999999
- bleu: 33.7
- brevity_penalty: 0.972
- ref_len: 2670.0
- src_name: Ukrainian
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: uk
- tgt_alpha2: ca
- prefer_old: False
- long_pair: ukr-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "ca"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-ca | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"ca",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"ca"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-cat
* source group: Ukrainian
* target group: Catalan
* OPUS readme: ukr-cat
* model: transformer-align
* source language(s): ukr
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 33.7, chr-F: 0.538
### System Info:
* hf\_name: ukr-cat
* source\_languages: ukr
* target\_languages: cat
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'ca']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'cat'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: cat
* short\_pair: uk-ca
* chrF2\_score: 0.5379999999999999
* bleu: 33.7
* brevity\_penalty: 0.972
* ref\_len: 2670.0
* src\_name: Ukrainian
* tgt\_name: Catalan
* train\_date: 2020-06-16
* src\_alpha2: uk
* tgt\_alpha2: ca
* prefer\_old: False
* long\_pair: ukr-cat
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-cat\n\n\n* source group: Ukrainian\n* target group: Catalan\n* OPUS readme: ukr-cat\n* model: transformer-align\n* source language(s): ukr\n* target language(s): cat\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: 33.7, chr-F: 0.538",
"### System Info:\n\n\n* hf\\_name: ukr-cat\n* source\\_languages: ukr\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'ca']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'cat'}\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: ukr\n* tgt\\_alpha3: cat\n* short\\_pair: uk-ca\n* chrF2\\_score: 0.5379999999999999\n* bleu: 33.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 2670.0\n* src\\_name: Ukrainian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: uk\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-cat\n\n\n* source group: Ukrainian\n* target group: Catalan\n* OPUS readme: ukr-cat\n* model: transformer-align\n* source language(s): ukr\n* target language(s): cat\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: 33.7, chr-F: 0.538",
"### System Info:\n\n\n* hf\\_name: ukr-cat\n* source\\_languages: ukr\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'ca']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'cat'}\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: ukr\n* tgt\\_alpha3: cat\n* short\\_pair: uk-ca\n* chrF2\\_score: 0.5379999999999999\n* bleu: 33.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 2670.0\n* src\\_name: Ukrainian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: uk\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ukr-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
120,
393
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-cat\n\n\n* source group: Ukrainian\n* target group: Catalan\n* OPUS readme: ukr-cat\n* model: transformer-align\n* source language(s): ukr\n* target language(s): cat\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: 33.7, chr-F: 0.538"
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null | null | transformers |
### ukr-ces
* source group: Ukrainian
* target group: Czech
* OPUS readme: [ukr-ces](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ces/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): ces
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.ces | 52.0 | 0.686 |
### System Info:
- hf_name: ukr-ces
- source_languages: ukr
- target_languages: ces
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ces/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'cs']
- src_constituents: {'ukr'}
- tgt_constituents: {'ces'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: ces
- short_pair: uk-cs
- chrF2_score: 0.6859999999999999
- bleu: 52.0
- brevity_penalty: 0.993
- ref_len: 8550.0
- src_name: Ukrainian
- tgt_name: Czech
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: cs
- prefer_old: False
- long_pair: ukr-ces
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "cs"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-cs | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"cs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"cs"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-ces
* source group: Ukrainian
* target group: Czech
* OPUS readme: ukr-ces
* model: transformer-align
* source language(s): ukr
* target language(s): ces
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 52.0, chr-F: 0.686
### System Info:
* hf\_name: ukr-ces
* source\_languages: ukr
* target\_languages: ces
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'cs']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'ces'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: ces
* short\_pair: uk-cs
* chrF2\_score: 0.6859999999999999
* bleu: 52.0
* brevity\_penalty: 0.993
* ref\_len: 8550.0
* src\_name: Ukrainian
* tgt\_name: Czech
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: cs
* prefer\_old: False
* long\_pair: ukr-ces
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-ces\n\n\n* source group: Ukrainian\n* target group: Czech\n* OPUS readme: ukr-ces\n* model: transformer-align\n* source language(s): ukr\n* target language(s): ces\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.0, chr-F: 0.686",
"### System Info:\n\n\n* hf\\_name: ukr-ces\n* source\\_languages: ukr\n* target\\_languages: ces\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'cs']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'ces'}\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: ukr\n* tgt\\_alpha3: ces\n* short\\_pair: uk-cs\n* chrF2\\_score: 0.6859999999999999\n* bleu: 52.0\n* brevity\\_penalty: 0.993\n* ref\\_len: 8550.0\n* src\\_name: Ukrainian\n* tgt\\_name: Czech\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: cs\n* prefer\\_old: False\n* long\\_pair: ukr-ces\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 #uk #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-ces\n\n\n* source group: Ukrainian\n* target group: Czech\n* OPUS readme: ukr-ces\n* model: transformer-align\n* source language(s): ukr\n* target language(s): ces\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.0, chr-F: 0.686",
"### System Info:\n\n\n* hf\\_name: ukr-ces\n* source\\_languages: ukr\n* target\\_languages: ces\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'cs']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'ces'}\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: ukr\n* tgt\\_alpha3: ces\n* short\\_pair: uk-cs\n* chrF2\\_score: 0.6859999999999999\n* bleu: 52.0\n* brevity\\_penalty: 0.993\n* ref\\_len: 8550.0\n* src\\_name: Ukrainian\n* tgt\\_name: Czech\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: cs\n* prefer\\_old: False\n* long\\_pair: ukr-ces\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
121,
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] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-ces\n\n\n* source group: Ukrainian\n* target group: Czech\n* OPUS readme: ukr-ces\n* model: transformer-align\n* source language(s): ukr\n* target language(s): ces\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.0, chr-F: 0.686"
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null | null | transformers |
### ukr-deu
* source group: Ukrainian
* target group: German
* OPUS readme: [ukr-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.deu | 48.2 | 0.661 |
### System Info:
- hf_name: ukr-deu
- source_languages: ukr
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'de']
- src_constituents: {'ukr'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: deu
- short_pair: uk-de
- chrF2_score: 0.6609999999999999
- bleu: 48.2
- brevity_penalty: 0.98
- ref_len: 62298.0
- src_name: Ukrainian
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: de
- prefer_old: False
- long_pair: ukr-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "de"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-de | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"de"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-deu
* source group: Ukrainian
* target group: German
* OPUS readme: ukr-deu
* model: transformer-align
* source language(s): ukr
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 48.2, chr-F: 0.661
### System Info:
* hf\_name: ukr-deu
* source\_languages: ukr
* target\_languages: deu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'de']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'deu'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: deu
* short\_pair: uk-de
* chrF2\_score: 0.6609999999999999
* bleu: 48.2
* brevity\_penalty: 0.98
* ref\_len: 62298.0
* src\_name: Ukrainian
* tgt\_name: German
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: de
* prefer\_old: False
* long\_pair: ukr-deu
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-deu\n\n\n* source group: Ukrainian\n* target group: German\n* OPUS readme: ukr-deu\n* model: transformer-align\n* source language(s): ukr\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: 48.2, chr-F: 0.661",
"### System Info:\n\n\n* hf\\_name: ukr-deu\n* source\\_languages: ukr\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'de']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: deu\n* short\\_pair: uk-de\n* chrF2\\_score: 0.6609999999999999\n* bleu: 48.2\n* brevity\\_penalty: 0.98\n* ref\\_len: 62298.0\n* src\\_name: Ukrainian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-deu\n\n\n* source group: Ukrainian\n* target group: German\n* OPUS readme: ukr-deu\n* model: transformer-align\n* source language(s): ukr\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: 48.2, chr-F: 0.661",
"### System Info:\n\n\n* hf\\_name: ukr-deu\n* source\\_languages: ukr\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'de']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: deu\n* short\\_pair: uk-de\n* chrF2\\_score: 0.6609999999999999\n* bleu: 48.2\n* brevity\\_penalty: 0.98\n* ref\\_len: 62298.0\n* src\\_name: Ukrainian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: ukr-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
124,
400
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-deu\n\n\n* source group: Ukrainian\n* target group: German\n* OPUS readme: ukr-deu\n* model: transformer-align\n* source language(s): ukr\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: 48.2, chr-F: 0.661"
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] |
null | null | transformers |
### opus-mt-uk-en
* source languages: uk
* target languages: en
* OPUS readme: [uk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.en | 64.1 | 0.757 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-uk-en
* source languages: uk
* target languages: en
* OPUS readme: uk-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 64.1, chr-F: 0.757
| [
"### opus-mt-uk-en\n\n\n* source languages: uk\n* target languages: en\n* OPUS readme: uk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 64.1, chr-F: 0.757"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-uk-en\n\n\n* source languages: uk\n* target languages: en\n* OPUS readme: uk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 64.1, chr-F: 0.757"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-uk-en\n\n\n* source languages: uk\n* target languages: en\n* OPUS readme: uk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 64.1, chr-F: 0.757"
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null | null | transformers |
### opus-mt-uk-es
* source languages: uk
* target languages: es
* OPUS readme: [uk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.es | 50.4 | 0.680 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-uk-es
* source languages: uk
* target languages: es
* OPUS readme: uk-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 50.4, chr-F: 0.680
| [
"### opus-mt-uk-es\n\n\n* source languages: uk\n* target languages: es\n* OPUS readme: uk-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: 50.4, chr-F: 0.680"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-uk-es\n\n\n* source languages: uk\n* target languages: es\n* OPUS readme: uk-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: 50.4, chr-F: 0.680"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-uk-es\n\n\n* source languages: uk\n* target languages: es\n* OPUS readme: uk-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: 50.4, chr-F: 0.680"
] | [
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] |
null | null | transformers |
### opus-mt-uk-fi
* source languages: uk
* target languages: fi
* OPUS readme: [uk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/uk-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.uk.fi | 24.4 | 0.490 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-fi | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"uk",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #uk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-uk-fi
* source languages: uk
* target languages: fi
* OPUS readme: uk-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.4, chr-F: 0.490
| [
"### opus-mt-uk-fi\n\n\n* source languages: uk\n* target languages: fi\n* OPUS readme: uk-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: 24.4, chr-F: 0.490"
] | [
"TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #uk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-uk-fi\n\n\n* source languages: uk\n* target languages: fi\n* OPUS readme: uk-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: 24.4, chr-F: 0.490"
] | [
66,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #uk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-uk-fi\n\n\n* source languages: uk\n* target languages: fi\n* OPUS readme: uk-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: 24.4, chr-F: 0.490"
] | [
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null | null | transformers |
### opus-mt-uk-fr
* source languages: uk
* target languages: fr
* OPUS readme: [uk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.fr | 52.1 | 0.681 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-uk-fr
* source languages: uk
* target languages: fr
* OPUS readme: uk-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 52.1, chr-F: 0.681
| [
"### opus-mt-uk-fr\n\n\n* source languages: uk\n* target languages: fr\n* OPUS readme: uk-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: 52.1, chr-F: 0.681"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-uk-fr\n\n\n* source languages: uk\n* target languages: fr\n* OPUS readme: uk-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: 52.1, chr-F: 0.681"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-uk-fr\n\n\n* source languages: uk\n* target languages: fr\n* OPUS readme: uk-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: 52.1, chr-F: 0.681"
] | [
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null | null | transformers |
### ukr-heb
* source group: Ukrainian
* target group: Hebrew
* OPUS readme: [ukr-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.heb | 35.7 | 0.557 |
### System Info:
- hf_name: ukr-heb
- source_languages: ukr
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'he']
- src_constituents: {'ukr'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: heb
- short_pair: uk-he
- chrF2_score: 0.557
- bleu: 35.7
- brevity_penalty: 1.0
- ref_len: 4765.0
- src_name: Ukrainian
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: he
- prefer_old: False
- long_pair: ukr-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "he"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-he | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"he"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-heb
* source group: Ukrainian
* target group: Hebrew
* OPUS readme: ukr-heb
* model: transformer-align
* source language(s): ukr
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 35.7, chr-F: 0.557
### System Info:
* hf\_name: ukr-heb
* source\_languages: ukr
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'he']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'heb'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: heb
* short\_pair: uk-he
* chrF2\_score: 0.557
* bleu: 35.7
* brevity\_penalty: 1.0
* ref\_len: 4765.0
* src\_name: Ukrainian
* tgt\_name: Hebrew
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: he
* prefer\_old: False
* long\_pair: ukr-heb
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-heb\n\n\n* source group: Ukrainian\n* target group: Hebrew\n* OPUS readme: ukr-heb\n* model: transformer-align\n* source language(s): ukr\n* target language(s): heb\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: 35.7, chr-F: 0.557",
"### System Info:\n\n\n* hf\\_name: ukr-heb\n* source\\_languages: ukr\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'he']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'heb'}\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: ukr\n* tgt\\_alpha3: heb\n* short\\_pair: uk-he\n* chrF2\\_score: 0.557\n* bleu: 35.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4765.0\n* src\\_name: Ukrainian\n* tgt\\_name: Hebrew\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* long\\_pair: ukr-heb\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 #uk #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-heb\n\n\n* source group: Ukrainian\n* target group: Hebrew\n* OPUS readme: ukr-heb\n* model: transformer-align\n* source language(s): ukr\n* target language(s): heb\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: 35.7, chr-F: 0.557",
"### System Info:\n\n\n* hf\\_name: ukr-heb\n* source\\_languages: ukr\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'he']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'heb'}\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: ukr\n* tgt\\_alpha3: heb\n* short\\_pair: uk-he\n* chrF2\\_score: 0.557\n* bleu: 35.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4765.0\n* src\\_name: Ukrainian\n* tgt\\_name: Hebrew\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* long\\_pair: ukr-heb\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
121,
388
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-heb\n\n\n* source group: Ukrainian\n* target group: Hebrew\n* OPUS readme: ukr-heb\n* model: transformer-align\n* source language(s): ukr\n* target language(s): heb\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: 35.7, chr-F: 0.557"
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] |
null | null | transformers |
### ukr-hun
* source group: Ukrainian
* target group: Hungarian
* OPUS readme: [ukr-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hun/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hun | 41.4 | 0.649 |
### System Info:
- hf_name: ukr-hun
- source_languages: ukr
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'hu']
- src_constituents: {'ukr'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: hun
- short_pair: uk-hu
- chrF2_score: 0.649
- bleu: 41.4
- brevity_penalty: 0.9740000000000001
- ref_len: 2433.0
- src_name: Ukrainian
- tgt_name: Hungarian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: hu
- prefer_old: False
- long_pair: ukr-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "hu"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-hu | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"hu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"hu"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-hun
* source group: Ukrainian
* target group: Hungarian
* OPUS readme: ukr-hun
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 41.4, chr-F: 0.649
### System Info:
* hf\_name: ukr-hun
* source\_languages: ukr
* target\_languages: hun
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'hu']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hun'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hun
* short\_pair: uk-hu
* chrF2\_score: 0.649
* bleu: 41.4
* brevity\_penalty: 0.9740000000000001
* ref\_len: 2433.0
* src\_name: Ukrainian
* tgt\_name: Hungarian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: hu
* prefer\_old: False
* long\_pair: ukr-hun
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-hun\n\n\n* source group: Ukrainian\n* target group: Hungarian\n* OPUS readme: ukr-hun\n* model: transformer-align\n* source language(s): ukr\n* target language(s): hun\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: 41.4, chr-F: 0.649",
"### System Info:\n\n\n* hf\\_name: ukr-hun\n* source\\_languages: ukr\n* target\\_languages: hun\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'hu']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'hun'}\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: ukr\n* tgt\\_alpha3: hun\n* short\\_pair: uk-hu\n* chrF2\\_score: 0.649\n* bleu: 41.4\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 2433.0\n* src\\_name: Ukrainian\n* tgt\\_name: Hungarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: hu\n* prefer\\_old: False\n* long\\_pair: ukr-hun\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 #uk #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-hun\n\n\n* source group: Ukrainian\n* target group: Hungarian\n* OPUS readme: ukr-hun\n* model: transformer-align\n* source language(s): ukr\n* target language(s): hun\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: 41.4, chr-F: 0.649",
"### System Info:\n\n\n* hf\\_name: ukr-hun\n* source\\_languages: ukr\n* target\\_languages: hun\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'hu']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'hun'}\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: ukr\n* tgt\\_alpha3: hun\n* short\\_pair: uk-hu\n* chrF2\\_score: 0.649\n* bleu: 41.4\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 2433.0\n* src\\_name: Ukrainian\n* tgt\\_name: Hungarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: hu\n* prefer\\_old: False\n* long\\_pair: ukr-hun\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
122,
393
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-hun\n\n\n* source group: Ukrainian\n* target group: Hungarian\n* OPUS readme: ukr-hun\n* model: transformer-align\n* source language(s): ukr\n* target language(s): hun\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: 41.4, chr-F: 0.649"
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null | null | transformers |
### ukr-ita
* source group: Ukrainian
* target group: Italian
* OPUS readme: [ukr-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ita/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.ita | 46.0 | 0.662 |
### System Info:
- hf_name: ukr-ita
- source_languages: ukr
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'it']
- src_constituents: {'ukr'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: ita
- short_pair: uk-it
- chrF2_score: 0.662
- bleu: 46.0
- brevity_penalty: 0.9490000000000001
- ref_len: 27846.0
- src_name: Ukrainian
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: it
- prefer_old: False
- long_pair: ukr-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "it"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-it | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"it",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"it"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-ita
* source group: Ukrainian
* target group: Italian
* OPUS readme: ukr-ita
* model: transformer-align
* source language(s): ukr
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 46.0, chr-F: 0.662
### System Info:
* hf\_name: ukr-ita
* source\_languages: ukr
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'it']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'ita'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: ita
* short\_pair: uk-it
* chrF2\_score: 0.662
* bleu: 46.0
* brevity\_penalty: 0.9490000000000001
* ref\_len: 27846.0
* src\_name: Ukrainian
* tgt\_name: Italian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: it
* prefer\_old: False
* long\_pair: ukr-ita
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-ita\n\n\n* source group: Ukrainian\n* target group: Italian\n* OPUS readme: ukr-ita\n* model: transformer-align\n* source language(s): ukr\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: 46.0, chr-F: 0.662",
"### System Info:\n\n\n* hf\\_name: ukr-ita\n* source\\_languages: ukr\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'it']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: ita\n* short\\_pair: uk-it\n* chrF2\\_score: 0.662\n* bleu: 46.0\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 27846.0\n* src\\_name: Ukrainian\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-ita\n\n\n* source group: Ukrainian\n* target group: Italian\n* OPUS readme: ukr-ita\n* model: transformer-align\n* source language(s): ukr\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: 46.0, chr-F: 0.662",
"### System Info:\n\n\n* hf\\_name: ukr-ita\n* source\\_languages: ukr\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'it']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: ita\n* short\\_pair: uk-it\n* chrF2\\_score: 0.662\n* bleu: 46.0\n* brevity\\_penalty: 0.9490000000000001\n* ref\\_len: 27846.0\n* src\\_name: Ukrainian\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: ukr-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
122,
396
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-ita\n\n\n* source group: Ukrainian\n* target group: Italian\n* OPUS readme: ukr-ita\n* model: transformer-align\n* source language(s): ukr\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: 46.0, chr-F: 0.662"
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null | null | transformers |
### ukr-nld
* source group: Ukrainian
* target group: Dutch
* OPUS readme: [ukr-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nld/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.nld | 48.7 | 0.656 |
### System Info:
- hf_name: ukr-nld
- source_languages: ukr
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'nl']
- src_constituents: {'ukr'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: nld
- short_pair: uk-nl
- chrF2_score: 0.6559999999999999
- bleu: 48.7
- brevity_penalty: 0.985
- ref_len: 59943.0
- src_name: Ukrainian
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: nl
- prefer_old: False
- long_pair: ukr-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "nl"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-nl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"nl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"nl"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-nld
* source group: Ukrainian
* target group: Dutch
* OPUS readme: ukr-nld
* model: transformer-align
* source language(s): ukr
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 48.7, chr-F: 0.656
### System Info:
* hf\_name: ukr-nld
* source\_languages: ukr
* target\_languages: nld
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'nl']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'nld'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: nld
* short\_pair: uk-nl
* chrF2\_score: 0.6559999999999999
* bleu: 48.7
* brevity\_penalty: 0.985
* ref\_len: 59943.0
* src\_name: Ukrainian
* tgt\_name: Dutch
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: nl
* prefer\_old: False
* long\_pair: ukr-nld
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-nld\n\n\n* source group: Ukrainian\n* target group: Dutch\n* OPUS readme: ukr-nld\n* model: transformer-align\n* source language(s): ukr\n* target language(s): nld\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: 48.7, chr-F: 0.656",
"### System Info:\n\n\n* hf\\_name: ukr-nld\n* source\\_languages: ukr\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'nl']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'nld'}\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: ukr\n* tgt\\_alpha3: nld\n* short\\_pair: uk-nl\n* chrF2\\_score: 0.6559999999999999\n* bleu: 48.7\n* brevity\\_penalty: 0.985\n* ref\\_len: 59943.0\n* src\\_name: Ukrainian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-nld\n\n\n* source group: Ukrainian\n* target group: Dutch\n* OPUS readme: ukr-nld\n* model: transformer-align\n* source language(s): ukr\n* target language(s): nld\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: 48.7, chr-F: 0.656",
"### System Info:\n\n\n* hf\\_name: ukr-nld\n* source\\_languages: ukr\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'nl']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'nld'}\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: ukr\n* tgt\\_alpha3: nld\n* short\\_pair: uk-nl\n* chrF2\\_score: 0.6559999999999999\n* bleu: 48.7\n* brevity\\_penalty: 0.985\n* ref\\_len: 59943.0\n* src\\_name: Ukrainian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: ukr-nld\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
124,
400
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-nld\n\n\n* source group: Ukrainian\n* target group: Dutch\n* OPUS readme: ukr-nld\n* model: transformer-align\n* source language(s): ukr\n* target language(s): nld\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: 48.7, chr-F: 0.656"
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null | null | transformers |
### ukr-nor
* source group: Ukrainian
* target group: Norwegian
* OPUS readme: [ukr-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nor/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.nor | 21.3 | 0.397 |
### System Info:
- hf_name: ukr-nor
- source_languages: ukr
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'no']
- src_constituents: {'ukr'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: nor
- short_pair: uk-no
- chrF2_score: 0.397
- bleu: 21.3
- brevity_penalty: 0.966
- ref_len: 4378.0
- src_name: Ukrainian
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: no
- prefer_old: False
- long_pair: ukr-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", false], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-no | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"no",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"no"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-nor
* source group: Ukrainian
* target group: Norwegian
* OPUS readme: ukr-nor
* model: transformer-align
* source language(s): ukr
* target language(s): nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.3, chr-F: 0.397
### System Info:
* hf\_name: ukr-nor
* source\_languages: ukr
* target\_languages: nor
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'no']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'nob', 'nno'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: nor
* short\_pair: uk-no
* chrF2\_score: 0.397
* bleu: 21.3
* brevity\_penalty: 0.966
* ref\_len: 4378.0
* src\_name: Ukrainian
* tgt\_name: Norwegian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: no
* prefer\_old: False
* long\_pair: ukr-nor
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-nor\n\n\n* source group: Ukrainian\n* target group: Norwegian\n* OPUS readme: ukr-nor\n* model: transformer-align\n* source language(s): ukr\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: 21.3, chr-F: 0.397",
"### System Info:\n\n\n* hf\\_name: ukr-nor\n* source\\_languages: ukr\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'no']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: nor\n* short\\_pair: uk-no\n* chrF2\\_score: 0.397\n* bleu: 21.3\n* brevity\\_penalty: 0.966\n* ref\\_len: 4378.0\n* src\\_name: Ukrainian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-nor\n\n\n* source group: Ukrainian\n* target group: Norwegian\n* OPUS readme: ukr-nor\n* model: transformer-align\n* source language(s): ukr\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: 21.3, chr-F: 0.397",
"### System Info:\n\n\n* hf\\_name: ukr-nor\n* source\\_languages: ukr\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'no']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: nor\n* short\\_pair: uk-no\n* chrF2\\_score: 0.397\n* bleu: 21.3\n* brevity\\_penalty: 0.966\n* ref\\_len: 4378.0\n* src\\_name: Ukrainian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: ukr-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-nor\n\n\n* source group: Ukrainian\n* target group: Norwegian\n* OPUS readme: ukr-nor\n* model: transformer-align\n* source language(s): ukr\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: 21.3, chr-F: 0.397"
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null | null | transformers |
### ukr-pol
* source group: Ukrainian
* target group: Polish
* OPUS readme: [ukr-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.pol | 49.9 | 0.685 |
### System Info:
- hf_name: ukr-pol
- source_languages: ukr
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pl']
- src_constituents: {'ukr'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: pol
- short_pair: uk-pl
- chrF2_score: 0.685
- bleu: 49.9
- brevity_penalty: 0.9470000000000001
- ref_len: 13098.0
- src_name: Ukrainian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pl
- prefer_old: False
- long_pair: ukr-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "pl"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-pl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"pl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"pl"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-pol
* source group: Ukrainian
* target group: Polish
* OPUS readme: ukr-pol
* model: transformer-align
* source language(s): ukr
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 49.9, chr-F: 0.685
### System Info:
* hf\_name: ukr-pol
* source\_languages: ukr
* target\_languages: pol
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'pl']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'pol'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: pol
* short\_pair: uk-pl
* chrF2\_score: 0.685
* bleu: 49.9
* brevity\_penalty: 0.9470000000000001
* ref\_len: 13098.0
* src\_name: Ukrainian
* tgt\_name: Polish
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: pl
* prefer\_old: False
* long\_pair: ukr-pol
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-pol\n\n\n* source group: Ukrainian\n* target group: Polish\n* OPUS readme: ukr-pol\n* model: transformer-align\n* source language(s): ukr\n* target language(s): pol\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: 49.9, chr-F: 0.685",
"### System Info:\n\n\n* hf\\_name: ukr-pol\n* source\\_languages: ukr\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'pl']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'pol'}\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: ukr\n* tgt\\_alpha3: pol\n* short\\_pair: uk-pl\n* chrF2\\_score: 0.685\n* bleu: 49.9\n* brevity\\_penalty: 0.9470000000000001\n* ref\\_len: 13098.0\n* src\\_name: Ukrainian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-pol\n\n\n* source group: Ukrainian\n* target group: Polish\n* OPUS readme: ukr-pol\n* model: transformer-align\n* source language(s): ukr\n* target language(s): pol\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: 49.9, chr-F: 0.685",
"### System Info:\n\n\n* hf\\_name: ukr-pol\n* source\\_languages: ukr\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'pl']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'pol'}\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: ukr\n* tgt\\_alpha3: pol\n* short\\_pair: uk-pl\n* chrF2\\_score: 0.685\n* bleu: 49.9\n* brevity\\_penalty: 0.9470000000000001\n* ref\\_len: 13098.0\n* src\\_name: Ukrainian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: ukr-pol\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
122,
395
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-pol\n\n\n* source group: Ukrainian\n* target group: Polish\n* OPUS readme: ukr-pol\n* model: transformer-align\n* source language(s): ukr\n* target language(s): pol\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: 49.9, chr-F: 0.685"
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null | null | transformers |
### ukr-por
* source group: Ukrainian
* target group: Portuguese
* OPUS readme: [ukr-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-por/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.por | 38.1 | 0.601 |
### System Info:
- hf_name: ukr-por
- source_languages: ukr
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pt']
- src_constituents: {'ukr'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: por
- short_pair: uk-pt
- chrF2_score: 0.601
- bleu: 38.1
- brevity_penalty: 0.981
- ref_len: 21315.0
- src_name: Ukrainian
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pt
- prefer_old: False
- long_pair: ukr-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "pt"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-pt | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"pt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"pt"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-por
* source group: Ukrainian
* target group: Portuguese
* OPUS readme: ukr-por
* model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 38.1, chr-F: 0.601
### System Info:
* hf\_name: ukr-por
* source\_languages: ukr
* target\_languages: por
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'pt']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'por'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: por
* short\_pair: uk-pt
* chrF2\_score: 0.601
* bleu: 38.1
* brevity\_penalty: 0.981
* ref\_len: 21315.0
* src\_name: Ukrainian
* tgt\_name: Portuguese
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: pt
* prefer\_old: False
* long\_pair: ukr-por
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-por\n\n\n* source group: Ukrainian\n* target group: Portuguese\n* OPUS readme: ukr-por\n* model: transformer-align\n* source language(s): ukr\n* target language(s): por\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: 38.1, chr-F: 0.601",
"### System Info:\n\n\n* hf\\_name: ukr-por\n* source\\_languages: ukr\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'pt']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'por'}\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: ukr\n* tgt\\_alpha3: por\n* short\\_pair: uk-pt\n* chrF2\\_score: 0.601\n* bleu: 38.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 21315.0\n* src\\_name: Ukrainian\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: ukr-por\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 #uk #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-por\n\n\n* source group: Ukrainian\n* target group: Portuguese\n* OPUS readme: ukr-por\n* model: transformer-align\n* source language(s): ukr\n* target language(s): por\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: 38.1, chr-F: 0.601",
"### System Info:\n\n\n* hf\\_name: ukr-por\n* source\\_languages: ukr\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'pt']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'por'}\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: ukr\n* tgt\\_alpha3: por\n* short\\_pair: uk-pt\n* chrF2\\_score: 0.601\n* bleu: 38.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 21315.0\n* src\\_name: Ukrainian\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: ukr-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
123,
392
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-por\n\n\n* source group: Ukrainian\n* target group: Portuguese\n* OPUS readme: ukr-por\n* model: transformer-align\n* source language(s): ukr\n* target language(s): por\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: 38.1, chr-F: 0.601"
] | [
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null | null | transformers |
### ukr-rus
* source group: Ukrainian
* target group: Russian
* OPUS readme: [ukr-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.rus | 69.2 | 0.826 |
### System Info:
- hf_name: ukr-rus
- source_languages: ukr
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'ru']
- src_constituents: {'ukr'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: rus
- short_pair: uk-ru
- chrF2_score: 0.826
- bleu: 69.2
- brevity_penalty: 0.992
- ref_len: 60387.0
- src_name: Ukrainian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: ru
- prefer_old: False
- long_pair: ukr-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "ru"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-ru | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"ru"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-rus
* source group: Ukrainian
* target group: Russian
* OPUS readme: ukr-rus
* model: transformer-align
* source language(s): ukr
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 69.2, chr-F: 0.826
### System Info:
* hf\_name: ukr-rus
* source\_languages: ukr
* target\_languages: rus
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'ru']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'rus'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: rus
* short\_pair: uk-ru
* chrF2\_score: 0.826
* bleu: 69.2
* brevity\_penalty: 0.992
* ref\_len: 60387.0
* src\_name: Ukrainian
* tgt\_name: Russian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: ru
* prefer\_old: False
* long\_pair: ukr-rus
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-rus\n\n\n* source group: Ukrainian\n* target group: Russian\n* OPUS readme: ukr-rus\n* model: transformer-align\n* source language(s): ukr\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: 69.2, chr-F: 0.826",
"### System Info:\n\n\n* hf\\_name: ukr-rus\n* source\\_languages: ukr\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'ru']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: rus\n* short\\_pair: uk-ru\n* chrF2\\_score: 0.826\n* bleu: 69.2\n* brevity\\_penalty: 0.992\n* ref\\_len: 60387.0\n* src\\_name: Ukrainian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: ukr-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 #uk #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-rus\n\n\n* source group: Ukrainian\n* target group: Russian\n* OPUS readme: ukr-rus\n* model: transformer-align\n* source language(s): ukr\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: 69.2, chr-F: 0.826",
"### System Info:\n\n\n* hf\\_name: ukr-rus\n* source\\_languages: ukr\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'ru']\n* src\\_constituents: {'ukr'}\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: ukr\n* tgt\\_alpha3: rus\n* short\\_pair: uk-ru\n* chrF2\\_score: 0.826\n* bleu: 69.2\n* brevity\\_penalty: 0.992\n* ref\\_len: 60387.0\n* src\\_name: Ukrainian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: ukr-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
121,
390
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-rus\n\n\n* source group: Ukrainian\n* target group: Russian\n* OPUS readme: ukr-rus\n* model: transformer-align\n* source language(s): ukr\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: 69.2, chr-F: 0.826"
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null | null | transformers |
### ukr-hbs
* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: [ukr-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hbs | 42.8 | 0.631 |
### System Info:
- hf_name: ukr-hbs
- source_languages: ukr
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'sh']
- src_constituents: {'ukr'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: hbs
- short_pair: uk-sh
- chrF2_score: 0.631
- bleu: 42.8
- brevity_penalty: 0.96
- ref_len: 5128.0
- src_name: Ukrainian
- tgt_name: Serbo-Croatian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: sh
- prefer_old: False
- long_pair: ukr-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "sh"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-sh | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"sh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"sh"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-hbs
* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: ukr-hbs
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp\_Cyrl srp\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 42.8, chr-F: 0.631
### System Info:
* hf\_name: ukr-hbs
* source\_languages: ukr
* target\_languages: hbs
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'sh']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hbs
* short\_pair: uk-sh
* chrF2\_score: 0.631
* bleu: 42.8
* brevity\_penalty: 0.96
* ref\_len: 5128.0
* src\_name: Ukrainian
* tgt\_name: Serbo-Croatian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: sh
* prefer\_old: False
* long\_pair: ukr-hbs
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-hbs\n\n\n* source group: Ukrainian\n* target group: Serbo-Croatian\n* OPUS readme: ukr-hbs\n* model: transformer-align\n* source language(s): ukr\n* target language(s): hrv srp\\_Cyrl srp\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.8, chr-F: 0.631",
"### System Info:\n\n\n* hf\\_name: ukr-hbs\n* source\\_languages: ukr\n* target\\_languages: hbs\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'sh']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ukr\n* tgt\\_alpha3: hbs\n* short\\_pair: uk-sh\n* chrF2\\_score: 0.631\n* bleu: 42.8\n* brevity\\_penalty: 0.96\n* ref\\_len: 5128.0\n* src\\_name: Ukrainian\n* tgt\\_name: Serbo-Croatian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: sh\n* prefer\\_old: False\n* long\\_pair: ukr-hbs\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 #uk #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-hbs\n\n\n* source group: Ukrainian\n* target group: Serbo-Croatian\n* OPUS readme: ukr-hbs\n* model: transformer-align\n* source language(s): ukr\n* target language(s): hrv srp\\_Cyrl srp\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.8, chr-F: 0.631",
"### System Info:\n\n\n* hf\\_name: ukr-hbs\n* source\\_languages: ukr\n* target\\_languages: hbs\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'sh']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ukr\n* tgt\\_alpha3: hbs\n* short\\_pair: uk-sh\n* chrF2\\_score: 0.631\n* bleu: 42.8\n* brevity\\_penalty: 0.96\n* ref\\_len: 5128.0\n* src\\_name: Ukrainian\n* tgt\\_name: Serbo-Croatian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: sh\n* prefer\\_old: False\n* long\\_pair: ukr-hbs\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
171,
431
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-hbs\n\n\n* source group: Ukrainian\n* target group: Serbo-Croatian\n* OPUS readme: ukr-hbs\n* model: transformer-align\n* source language(s): ukr\n* target language(s): hrv srp\\_Cyrl srp\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.8, chr-F: 0.631"
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] |
null | null | transformers |
### ukr-slv
* source group: Ukrainian
* target group: Slovenian
* OPUS readme: [ukr-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-slv/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): slv
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.slv | 11.8 | 0.280 |
### System Info:
- hf_name: ukr-slv
- source_languages: ukr
- target_languages: slv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-slv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'sl']
- src_constituents: {'ukr'}
- tgt_constituents: {'slv'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: slv
- short_pair: uk-sl
- chrF2_score: 0.28
- bleu: 11.8
- brevity_penalty: 1.0
- ref_len: 3823.0
- src_name: Ukrainian
- tgt_name: Slovenian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: sl
- prefer_old: False
- long_pair: ukr-slv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "sl"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-sl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"sl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"sl"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-slv
* source group: Ukrainian
* target group: Slovenian
* OPUS readme: ukr-slv
* model: transformer-align
* source language(s): ukr
* target language(s): slv
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 11.8, chr-F: 0.280
### System Info:
* hf\_name: ukr-slv
* source\_languages: ukr
* target\_languages: slv
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'sl']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'slv'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: slv
* short\_pair: uk-sl
* chrF2\_score: 0.28
* bleu: 11.8
* brevity\_penalty: 1.0
* ref\_len: 3823.0
* src\_name: Ukrainian
* tgt\_name: Slovenian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: sl
* prefer\_old: False
* long\_pair: ukr-slv
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-slv\n\n\n* source group: Ukrainian\n* target group: Slovenian\n* OPUS readme: ukr-slv\n* model: transformer-align\n* source language(s): ukr\n* target language(s): slv\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: 11.8, chr-F: 0.280",
"### System Info:\n\n\n* hf\\_name: ukr-slv\n* source\\_languages: ukr\n* target\\_languages: slv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'sl']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'slv'}\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: ukr\n* tgt\\_alpha3: slv\n* short\\_pair: uk-sl\n* chrF2\\_score: 0.28\n* bleu: 11.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 3823.0\n* src\\_name: Ukrainian\n* tgt\\_name: Slovenian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: sl\n* prefer\\_old: False\n* long\\_pair: ukr-slv\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 #uk #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-slv\n\n\n* source group: Ukrainian\n* target group: Slovenian\n* OPUS readme: ukr-slv\n* model: transformer-align\n* source language(s): ukr\n* target language(s): slv\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: 11.8, chr-F: 0.280",
"### System Info:\n\n\n* hf\\_name: ukr-slv\n* source\\_languages: ukr\n* target\\_languages: slv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'sl']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'slv'}\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: ukr\n* tgt\\_alpha3: slv\n* short\\_pair: uk-sl\n* chrF2\\_score: 0.28\n* bleu: 11.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 3823.0\n* src\\_name: Ukrainian\n* tgt\\_name: Slovenian\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: sl\n* prefer\\_old: False\n* long\\_pair: ukr-slv\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
124,
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] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-slv\n\n\n* source group: Ukrainian\n* target group: Slovenian\n* OPUS readme: ukr-slv\n* model: transformer-align\n* source language(s): ukr\n* target language(s): slv\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: 11.8, chr-F: 0.280"
] | [
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null | null | transformers |
### opus-mt-uk-sv
* source languages: uk
* target languages: sv
* OPUS readme: [uk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/uk-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.uk.sv | 27.8 | 0.474 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-uk-sv
* source languages: uk
* target languages: sv
* OPUS readme: uk-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.8, chr-F: 0.474
| [
"### opus-mt-uk-sv\n\n\n* source languages: uk\n* target languages: sv\n* OPUS readme: uk-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: 27.8, chr-F: 0.474"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-uk-sv\n\n\n* source languages: uk\n* target languages: sv\n* OPUS readme: uk-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: 27.8, chr-F: 0.474"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-uk-sv\n\n\n* source languages: uk\n* target languages: sv\n* OPUS readme: uk-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: 27.8, chr-F: 0.474"
] | [
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null | null | transformers |
### ukr-tur
* source group: Ukrainian
* target group: Turkish
* OPUS readme: [ukr-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-tur/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.tur | 39.3 | 0.655 |
### System Info:
- hf_name: ukr-tur
- source_languages: ukr
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'tr']
- src_constituents: {'ukr'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: tur
- short_pair: uk-tr
- chrF2_score: 0.655
- bleu: 39.3
- brevity_penalty: 0.934
- ref_len: 11844.0
- src_name: Ukrainian
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: tr
- prefer_old: False
- long_pair: ukr-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["uk", "tr"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-uk-tr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"tr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"uk",
"tr"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #uk #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### ukr-tur
* source group: Ukrainian
* target group: Turkish
* OPUS readme: ukr-tur
* model: transformer-align
* source language(s): ukr
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 39.3, chr-F: 0.655
### System Info:
* hf\_name: ukr-tur
* source\_languages: ukr
* target\_languages: tur
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'tr']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'tur'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: tur
* short\_pair: uk-tr
* chrF2\_score: 0.655
* bleu: 39.3
* brevity\_penalty: 0.934
* ref\_len: 11844.0
* src\_name: Ukrainian
* tgt\_name: Turkish
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: tr
* prefer\_old: False
* long\_pair: ukr-tur
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### ukr-tur\n\n\n* source group: Ukrainian\n* target group: Turkish\n* OPUS readme: ukr-tur\n* model: transformer-align\n* source language(s): ukr\n* target language(s): tur\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: 39.3, chr-F: 0.655",
"### System Info:\n\n\n* hf\\_name: ukr-tur\n* source\\_languages: ukr\n* target\\_languages: tur\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'tr']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'tur'}\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: ukr\n* tgt\\_alpha3: tur\n* short\\_pair: uk-tr\n* chrF2\\_score: 0.655\n* bleu: 39.3\n* brevity\\_penalty: 0.934\n* ref\\_len: 11844.0\n* src\\_name: Ukrainian\n* tgt\\_name: Turkish\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: tr\n* prefer\\_old: False\n* long\\_pair: ukr-tur\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 #uk #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### ukr-tur\n\n\n* source group: Ukrainian\n* target group: Turkish\n* OPUS readme: ukr-tur\n* model: transformer-align\n* source language(s): ukr\n* target language(s): tur\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: 39.3, chr-F: 0.655",
"### System Info:\n\n\n* hf\\_name: ukr-tur\n* source\\_languages: ukr\n* target\\_languages: tur\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['uk', 'tr']\n* src\\_constituents: {'ukr'}\n* tgt\\_constituents: {'tur'}\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: ukr\n* tgt\\_alpha3: tur\n* short\\_pair: uk-tr\n* chrF2\\_score: 0.655\n* bleu: 39.3\n* brevity\\_penalty: 0.934\n* ref\\_len: 11844.0\n* src\\_name: Ukrainian\n* tgt\\_name: Turkish\n* train\\_date: 2020-06-17\n* src\\_alpha2: uk\n* tgt\\_alpha2: tr\n* prefer\\_old: False\n* long\\_pair: ukr-tur\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
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] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #uk #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ukr-tur\n\n\n* source group: Ukrainian\n* target group: Turkish\n* OPUS readme: ukr-tur\n* model: transformer-align\n* source language(s): ukr\n* target language(s): tur\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: 39.3, chr-F: 0.655"
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null | null | transformers |
### opus-mt-umb-en
* source languages: umb
* target languages: en
* OPUS readme: [umb-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/umb-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.umb.en | 27.5 | 0.425 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-umb-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"umb",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #umb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-umb-en
* source languages: umb
* target languages: en
* OPUS readme: umb-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.5, chr-F: 0.425
| [
"### opus-mt-umb-en\n\n\n* source languages: umb\n* target languages: en\n* OPUS readme: umb-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: 27.5, chr-F: 0.425"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #umb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-umb-en\n\n\n* source languages: umb\n* target languages: en\n* OPUS readme: umb-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: 27.5, chr-F: 0.425"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #umb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-umb-en\n\n\n* source languages: umb\n* target languages: en\n* OPUS readme: umb-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: 27.5, chr-F: 0.425"
] | [
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null | null | transformers |
### urd-eng
* source group: Urdu
* target group: English
* OPUS readme: [urd-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urd-eng/README.md)
* model: transformer-align
* source language(s): urd
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.urd.eng | 23.2 | 0.435 |
### System Info:
- hf_name: urd-eng
- source_languages: urd
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urd-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ur', 'en']
- src_constituents: {'urd'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.test.txt
- src_alpha3: urd
- tgt_alpha3: eng
- short_pair: ur-en
- chrF2_score: 0.435
- bleu: 23.2
- brevity_penalty: 0.975
- ref_len: 12029.0
- src_name: Urdu
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ur
- tgt_alpha2: en
- prefer_old: False
- long_pair: urd-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ur", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ur-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ur",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"ur",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ur #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### urd-eng
* source group: Urdu
* target group: English
* OPUS readme: urd-eng
* model: transformer-align
* source language(s): urd
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.2, chr-F: 0.435
### System Info:
* hf\_name: urd-eng
* source\_languages: urd
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ur', 'en']
* src\_constituents: {'urd'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: urd
* tgt\_alpha3: eng
* short\_pair: ur-en
* chrF2\_score: 0.435
* bleu: 23.2
* brevity\_penalty: 0.975
* ref\_len: 12029.0
* src\_name: Urdu
* tgt\_name: English
* train\_date: 2020-06-17
* src\_alpha2: ur
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: urd-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### urd-eng\n\n\n* source group: Urdu\n* target group: English\n* OPUS readme: urd-eng\n* model: transformer-align\n* source language(s): urd\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.435",
"### System Info:\n\n\n* hf\\_name: urd-eng\n* source\\_languages: urd\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ur', 'en']\n* src\\_constituents: {'urd'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: urd\n* tgt\\_alpha3: eng\n* short\\_pair: ur-en\n* chrF2\\_score: 0.435\n* bleu: 23.2\n* brevity\\_penalty: 0.975\n* ref\\_len: 12029.0\n* src\\_name: Urdu\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ur\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: urd-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 #ur #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### urd-eng\n\n\n* source group: Urdu\n* target group: English\n* OPUS readme: urd-eng\n* model: transformer-align\n* source language(s): urd\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.435",
"### System Info:\n\n\n* hf\\_name: urd-eng\n* source\\_languages: urd\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ur', 'en']\n* src\\_constituents: {'urd'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: urd\n* tgt\\_alpha3: eng\n* short\\_pair: ur-en\n* chrF2\\_score: 0.435\n* bleu: 23.2\n* brevity\\_penalty: 0.975\n* ref\\_len: 12029.0\n* src\\_name: Urdu\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ur\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: urd-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ur #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### urd-eng\n\n\n* source group: Urdu\n* target group: English\n* OPUS readme: urd-eng\n* model: transformer-align\n* source language(s): urd\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.435"
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null | null | transformers |
### urj-eng
* source group: Uralic languages
* target group: English
* OPUS readme: [urj-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-eng/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng | 22.7 | 0.511 |
| newsdev2018-enet-esteng.est.eng | 26.6 | 0.545 |
| newssyscomb2009-huneng.hun.eng | 21.3 | 0.493 |
| newstest2009-huneng.hun.eng | 20.1 | 0.487 |
| newstest2015-enfi-fineng.fin.eng | 23.9 | 0.521 |
| newstest2016-enfi-fineng.fin.eng | 25.8 | 0.542 |
| newstest2017-enfi-fineng.fin.eng | 28.9 | 0.562 |
| newstest2018-enet-esteng.est.eng | 27.0 | 0.552 |
| newstest2018-enfi-fineng.fin.eng | 21.2 | 0.492 |
| newstest2019-fien-fineng.fin.eng | 25.3 | 0.531 |
| newstestB2016-enfi-fineng.fin.eng | 21.3 | 0.500 |
| newstestB2017-enfi-fineng.fin.eng | 24.4 | 0.528 |
| newstestB2017-fien-fineng.fin.eng | 24.4 | 0.528 |
| Tatoeba-test.chm-eng.chm.eng | 0.8 | 0.131 |
| Tatoeba-test.est-eng.est.eng | 34.5 | 0.526 |
| Tatoeba-test.fin-eng.fin.eng | 28.1 | 0.485 |
| Tatoeba-test.fkv-eng.fkv.eng | 6.8 | 0.335 |
| Tatoeba-test.hun-eng.hun.eng | 25.1 | 0.452 |
| Tatoeba-test.izh-eng.izh.eng | 11.6 | 0.224 |
| Tatoeba-test.kom-eng.kom.eng | 2.4 | 0.110 |
| Tatoeba-test.krl-eng.krl.eng | 18.6 | 0.365 |
| Tatoeba-test.liv-eng.liv.eng | 0.5 | 0.078 |
| Tatoeba-test.mdf-eng.mdf.eng | 1.5 | 0.117 |
| Tatoeba-test.multi.eng | 47.8 | 0.646 |
| Tatoeba-test.myv-eng.myv.eng | 0.5 | 0.101 |
| Tatoeba-test.sma-eng.sma.eng | 1.2 | 0.110 |
| Tatoeba-test.sme-eng.sme.eng | 1.5 | 0.147 |
| Tatoeba-test.udm-eng.udm.eng | 1.0 | 0.130 |
### System Info:
- hf_name: urj-eng
- source_languages: urj
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'urj', 'en']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt
- src_alpha3: urj
- tgt_alpha3: eng
- short_pair: urj-en
- chrF2_score: 0.6459999999999999
- bleu: 47.8
- brevity_penalty: 0.993
- ref_len: 70882.0
- src_name: Uralic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: urj
- tgt_alpha2: en
- prefer_old: False
- long_pair: urj-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["se", "fi", "hu", "et", "urj", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-urj-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"se",
"fi",
"hu",
"et",
"urj",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"se",
"fi",
"hu",
"et",
"urj",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #urj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### urj-eng
* source group: Uralic languages
* target group: English
* OPUS readme: urj-eng
* model: transformer
* source language(s): est fin fkv\_Latn hun izh kpv krl liv\_Latn mdf mhr myv sma sme udm vro
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.7, chr-F: 0.511
testset: URL, BLEU: 26.6, chr-F: 0.545
testset: URL, BLEU: 21.3, chr-F: 0.493
testset: URL, BLEU: 20.1, chr-F: 0.487
testset: URL, BLEU: 23.9, chr-F: 0.521
testset: URL, BLEU: 25.8, chr-F: 0.542
testset: URL, BLEU: 28.9, chr-F: 0.562
testset: URL, BLEU: 27.0, chr-F: 0.552
testset: URL, BLEU: 21.2, chr-F: 0.492
testset: URL, BLEU: 25.3, chr-F: 0.531
testset: URL, BLEU: 21.3, chr-F: 0.500
testset: URL, BLEU: 24.4, chr-F: 0.528
testset: URL, BLEU: 24.4, chr-F: 0.528
testset: URL, BLEU: 0.8, chr-F: 0.131
testset: URL, BLEU: 34.5, chr-F: 0.526
testset: URL, BLEU: 28.1, chr-F: 0.485
testset: URL, BLEU: 6.8, chr-F: 0.335
testset: URL, BLEU: 25.1, chr-F: 0.452
testset: URL, BLEU: 11.6, chr-F: 0.224
testset: URL, BLEU: 2.4, chr-F: 0.110
testset: URL, BLEU: 18.6, chr-F: 0.365
testset: URL, BLEU: 0.5, chr-F: 0.078
testset: URL, BLEU: 1.5, chr-F: 0.117
testset: URL, BLEU: 47.8, chr-F: 0.646
testset: URL, BLEU: 0.5, chr-F: 0.101
testset: URL, BLEU: 1.2, chr-F: 0.110
testset: URL, BLEU: 1.5, chr-F: 0.147
testset: URL, BLEU: 1.0, chr-F: 0.130
### System Info:
* hf\_name: urj-eng
* source\_languages: urj
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['se', 'fi', 'hu', 'et', 'urj', 'en']
* src\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: urj
* tgt\_alpha3: eng
* short\_pair: urj-en
* chrF2\_score: 0.6459999999999999
* bleu: 47.8
* brevity\_penalty: 0.993
* ref\_len: 70882.0
* src\_name: Uralic languages
* tgt\_name: English
* train\_date: 2020-08-01
* src\_alpha2: urj
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: urj-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### urj-eng\n\n\n* source group: Uralic languages\n* target group: English\n* OPUS readme: urj-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.511\ntestset: URL, BLEU: 26.6, chr-F: 0.545\ntestset: URL, BLEU: 21.3, chr-F: 0.493\ntestset: URL, BLEU: 20.1, chr-F: 0.487\ntestset: URL, BLEU: 23.9, chr-F: 0.521\ntestset: URL, BLEU: 25.8, chr-F: 0.542\ntestset: URL, BLEU: 28.9, chr-F: 0.562\ntestset: URL, BLEU: 27.0, chr-F: 0.552\ntestset: URL, BLEU: 21.2, chr-F: 0.492\ntestset: URL, BLEU: 25.3, chr-F: 0.531\ntestset: URL, BLEU: 21.3, chr-F: 0.500\ntestset: URL, BLEU: 24.4, chr-F: 0.528\ntestset: URL, BLEU: 24.4, chr-F: 0.528\ntestset: URL, BLEU: 0.8, chr-F: 0.131\ntestset: URL, BLEU: 34.5, chr-F: 0.526\ntestset: URL, BLEU: 28.1, chr-F: 0.485\ntestset: URL, BLEU: 6.8, chr-F: 0.335\ntestset: URL, BLEU: 25.1, chr-F: 0.452\ntestset: URL, BLEU: 11.6, chr-F: 0.224\ntestset: URL, BLEU: 2.4, chr-F: 0.110\ntestset: URL, BLEU: 18.6, chr-F: 0.365\ntestset: URL, BLEU: 0.5, chr-F: 0.078\ntestset: URL, BLEU: 1.5, chr-F: 0.117\ntestset: URL, BLEU: 47.8, chr-F: 0.646\ntestset: URL, BLEU: 0.5, chr-F: 0.101\ntestset: URL, BLEU: 1.2, chr-F: 0.110\ntestset: URL, BLEU: 1.5, chr-F: 0.147\ntestset: URL, BLEU: 1.0, chr-F: 0.130",
"### System Info:\n\n\n* hf\\_name: urj-eng\n* source\\_languages: urj\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'urj', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: urj\n* tgt\\_alpha3: eng\n* short\\_pair: urj-en\n* chrF2\\_score: 0.6459999999999999\n* bleu: 47.8\n* brevity\\_penalty: 0.993\n* ref\\_len: 70882.0\n* src\\_name: Uralic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: urj\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: urj-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #urj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### urj-eng\n\n\n* source group: Uralic languages\n* target group: English\n* OPUS readme: urj-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.511\ntestset: URL, BLEU: 26.6, chr-F: 0.545\ntestset: URL, BLEU: 21.3, chr-F: 0.493\ntestset: URL, BLEU: 20.1, chr-F: 0.487\ntestset: URL, BLEU: 23.9, chr-F: 0.521\ntestset: URL, BLEU: 25.8, chr-F: 0.542\ntestset: URL, BLEU: 28.9, chr-F: 0.562\ntestset: URL, BLEU: 27.0, chr-F: 0.552\ntestset: URL, BLEU: 21.2, chr-F: 0.492\ntestset: URL, BLEU: 25.3, chr-F: 0.531\ntestset: URL, BLEU: 21.3, chr-F: 0.500\ntestset: URL, BLEU: 24.4, chr-F: 0.528\ntestset: URL, BLEU: 24.4, chr-F: 0.528\ntestset: URL, BLEU: 0.8, chr-F: 0.131\ntestset: URL, BLEU: 34.5, chr-F: 0.526\ntestset: URL, BLEU: 28.1, chr-F: 0.485\ntestset: URL, BLEU: 6.8, chr-F: 0.335\ntestset: URL, BLEU: 25.1, chr-F: 0.452\ntestset: URL, BLEU: 11.6, chr-F: 0.224\ntestset: URL, BLEU: 2.4, chr-F: 0.110\ntestset: URL, BLEU: 18.6, chr-F: 0.365\ntestset: URL, BLEU: 0.5, chr-F: 0.078\ntestset: URL, BLEU: 1.5, chr-F: 0.117\ntestset: URL, BLEU: 47.8, chr-F: 0.646\ntestset: URL, BLEU: 0.5, chr-F: 0.101\ntestset: URL, BLEU: 1.2, chr-F: 0.110\ntestset: URL, BLEU: 1.5, chr-F: 0.147\ntestset: URL, BLEU: 1.0, chr-F: 0.130",
"### System Info:\n\n\n* hf\\_name: urj-eng\n* source\\_languages: urj\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'urj', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: urj\n* tgt\\_alpha3: eng\n* short\\_pair: urj-en\n* chrF2\\_score: 0.6459999999999999\n* bleu: 47.8\n* brevity\\_penalty: 0.993\n* ref\\_len: 70882.0\n* src\\_name: Uralic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: urj\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: urj-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #urj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n"
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null | null | transformers |
### urj-urj
* source group: Uralic languages
* target group: Uralic languages
* OPUS readme: [urj-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.est-est.est.est | 5.1 | 0.288 |
| Tatoeba-test.est-fin.est.fin | 50.9 | 0.709 |
| Tatoeba-test.est-fkv.est.fkv | 0.7 | 0.215 |
| Tatoeba-test.est-vep.est.vep | 1.0 | 0.154 |
| Tatoeba-test.fin-est.fin.est | 55.5 | 0.718 |
| Tatoeba-test.fin-fkv.fin.fkv | 1.8 | 0.254 |
| Tatoeba-test.fin-hun.fin.hun | 45.0 | 0.672 |
| Tatoeba-test.fin-izh.fin.izh | 7.1 | 0.492 |
| Tatoeba-test.fin-krl.fin.krl | 2.6 | 0.278 |
| Tatoeba-test.fkv-est.fkv.est | 0.6 | 0.099 |
| Tatoeba-test.fkv-fin.fkv.fin | 15.5 | 0.444 |
| Tatoeba-test.fkv-liv.fkv.liv | 0.6 | 0.101 |
| Tatoeba-test.fkv-vep.fkv.vep | 0.6 | 0.113 |
| Tatoeba-test.hun-fin.hun.fin | 46.3 | 0.675 |
| Tatoeba-test.izh-fin.izh.fin | 13.4 | 0.431 |
| Tatoeba-test.izh-krl.izh.krl | 2.9 | 0.078 |
| Tatoeba-test.krl-fin.krl.fin | 14.1 | 0.439 |
| Tatoeba-test.krl-izh.krl.izh | 1.0 | 0.125 |
| Tatoeba-test.liv-fkv.liv.fkv | 0.9 | 0.170 |
| Tatoeba-test.liv-vep.liv.vep | 2.6 | 0.176 |
| Tatoeba-test.multi.multi | 32.9 | 0.580 |
| Tatoeba-test.vep-est.vep.est | 3.4 | 0.265 |
| Tatoeba-test.vep-fkv.vep.fkv | 0.9 | 0.239 |
| Tatoeba-test.vep-liv.vep.liv | 2.6 | 0.190 |
### System Info:
- hf_name: urj-urj
- source_languages: urj
- target_languages: urj
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'urj']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt
- src_alpha3: urj
- tgt_alpha3: urj
- short_pair: urj-urj
- chrF2_score: 0.58
- bleu: 32.9
- brevity_penalty: 1.0
- ref_len: 19444.0
- src_name: Uralic languages
- tgt_name: Uralic languages
- train_date: 2020-07-27
- src_alpha2: urj
- tgt_alpha2: urj
- prefer_old: False
- long_pair: urj-urj
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["se", "fi", "hu", "et", "urj"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-urj-urj | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"se",
"fi",
"hu",
"et",
"urj",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"se",
"fi",
"hu",
"et",
"urj"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #urj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### urj-urj
* source group: Uralic languages
* target group: Uralic languages
* OPUS readme: urj-urj
* model: transformer
* source language(s): est fin fkv\_Latn hun izh krl liv\_Latn vep vro
* target language(s): est fin fkv\_Latn hun izh krl liv\_Latn vep vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 5.1, chr-F: 0.288
testset: URL, BLEU: 50.9, chr-F: 0.709
testset: URL, BLEU: 0.7, chr-F: 0.215
testset: URL, BLEU: 1.0, chr-F: 0.154
testset: URL, BLEU: 55.5, chr-F: 0.718
testset: URL, BLEU: 1.8, chr-F: 0.254
testset: URL, BLEU: 45.0, chr-F: 0.672
testset: URL, BLEU: 7.1, chr-F: 0.492
testset: URL, BLEU: 2.6, chr-F: 0.278
testset: URL, BLEU: 0.6, chr-F: 0.099
testset: URL, BLEU: 15.5, chr-F: 0.444
testset: URL, BLEU: 0.6, chr-F: 0.101
testset: URL, BLEU: 0.6, chr-F: 0.113
testset: URL, BLEU: 46.3, chr-F: 0.675
testset: URL, BLEU: 13.4, chr-F: 0.431
testset: URL, BLEU: 2.9, chr-F: 0.078
testset: URL, BLEU: 14.1, chr-F: 0.439
testset: URL, BLEU: 1.0, chr-F: 0.125
testset: URL, BLEU: 0.9, chr-F: 0.170
testset: URL, BLEU: 2.6, chr-F: 0.176
testset: URL, BLEU: 32.9, chr-F: 0.580
testset: URL, BLEU: 3.4, chr-F: 0.265
testset: URL, BLEU: 0.9, chr-F: 0.239
testset: URL, BLEU: 2.6, chr-F: 0.190
### System Info:
* hf\_name: urj-urj
* source\_languages: urj
* target\_languages: urj
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['se', 'fi', 'hu', 'et', 'urj']
* src\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'}
* tgt\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: urj
* tgt\_alpha3: urj
* short\_pair: urj-urj
* chrF2\_score: 0.58
* bleu: 32.9
* brevity\_penalty: 1.0
* ref\_len: 19444.0
* src\_name: Uralic languages
* tgt\_name: Uralic languages
* train\_date: 2020-07-27
* src\_alpha2: urj
* tgt\_alpha2: urj
* prefer\_old: False
* long\_pair: urj-urj
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### urj-urj\n\n\n* source group: Uralic languages\n* target group: Uralic languages\n* OPUS readme: urj-urj\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 5.1, chr-F: 0.288\ntestset: URL, BLEU: 50.9, chr-F: 0.709\ntestset: URL, BLEU: 0.7, chr-F: 0.215\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 55.5, chr-F: 0.718\ntestset: URL, BLEU: 1.8, chr-F: 0.254\ntestset: URL, BLEU: 45.0, chr-F: 0.672\ntestset: URL, BLEU: 7.1, chr-F: 0.492\ntestset: URL, BLEU: 2.6, chr-F: 0.278\ntestset: URL, BLEU: 0.6, chr-F: 0.099\ntestset: URL, BLEU: 15.5, chr-F: 0.444\ntestset: URL, BLEU: 0.6, chr-F: 0.101\ntestset: URL, BLEU: 0.6, chr-F: 0.113\ntestset: URL, BLEU: 46.3, chr-F: 0.675\ntestset: URL, BLEU: 13.4, chr-F: 0.431\ntestset: URL, BLEU: 2.9, chr-F: 0.078\ntestset: URL, BLEU: 14.1, chr-F: 0.439\ntestset: URL, BLEU: 1.0, chr-F: 0.125\ntestset: URL, BLEU: 0.9, chr-F: 0.170\ntestset: URL, BLEU: 2.6, chr-F: 0.176\ntestset: URL, BLEU: 32.9, chr-F: 0.580\ntestset: URL, BLEU: 3.4, chr-F: 0.265\ntestset: URL, BLEU: 0.9, chr-F: 0.239\ntestset: URL, BLEU: 2.6, chr-F: 0.190",
"### System Info:\n\n\n* hf\\_name: urj-urj\n* source\\_languages: urj\n* target\\_languages: urj\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'urj']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: urj\n* tgt\\_alpha3: urj\n* short\\_pair: urj-urj\n* chrF2\\_score: 0.58\n* bleu: 32.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 19444.0\n* src\\_name: Uralic languages\n* tgt\\_name: Uralic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: urj\n* tgt\\_alpha2: urj\n* prefer\\_old: False\n* long\\_pair: urj-urj\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #urj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### urj-urj\n\n\n* source group: Uralic languages\n* target group: Uralic languages\n* OPUS readme: urj-urj\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 5.1, chr-F: 0.288\ntestset: URL, BLEU: 50.9, chr-F: 0.709\ntestset: URL, BLEU: 0.7, chr-F: 0.215\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 55.5, chr-F: 0.718\ntestset: URL, BLEU: 1.8, chr-F: 0.254\ntestset: URL, BLEU: 45.0, chr-F: 0.672\ntestset: URL, BLEU: 7.1, chr-F: 0.492\ntestset: URL, BLEU: 2.6, chr-F: 0.278\ntestset: URL, BLEU: 0.6, chr-F: 0.099\ntestset: URL, BLEU: 15.5, chr-F: 0.444\ntestset: URL, BLEU: 0.6, chr-F: 0.101\ntestset: URL, BLEU: 0.6, chr-F: 0.113\ntestset: URL, BLEU: 46.3, chr-F: 0.675\ntestset: URL, BLEU: 13.4, chr-F: 0.431\ntestset: URL, BLEU: 2.9, chr-F: 0.078\ntestset: URL, BLEU: 14.1, chr-F: 0.439\ntestset: URL, BLEU: 1.0, chr-F: 0.125\ntestset: URL, BLEU: 0.9, chr-F: 0.170\ntestset: URL, BLEU: 2.6, chr-F: 0.176\ntestset: URL, BLEU: 32.9, chr-F: 0.580\ntestset: URL, BLEU: 3.4, chr-F: 0.265\ntestset: URL, BLEU: 0.9, chr-F: 0.239\ntestset: URL, BLEU: 2.6, chr-F: 0.190",
"### System Info:\n\n\n* hf\\_name: urj-urj\n* source\\_languages: urj\n* target\\_languages: urj\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'urj']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: urj\n* tgt\\_alpha3: urj\n* short\\_pair: urj-urj\n* chrF2\\_score: 0.58\n* bleu: 32.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 19444.0\n* src\\_name: Uralic languages\n* tgt\\_name: Uralic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: urj\n* tgt\\_alpha2: urj\n* prefer\\_old: False\n* long\\_pair: urj-urj\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
68,
588,
573
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #urj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"passage: ### urj-urj\n\n\n* source group: Uralic languages\n* target group: Uralic languages\n* OPUS readme: urj-urj\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 5.1, chr-F: 0.288\ntestset: URL, BLEU: 50.9, chr-F: 0.709\ntestset: URL, BLEU: 0.7, chr-F: 0.215\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 55.5, chr-F: 0.718\ntestset: URL, BLEU: 1.8, chr-F: 0.254\ntestset: URL, BLEU: 45.0, chr-F: 0.672\ntestset: URL, BLEU: 7.1, chr-F: 0.492\ntestset: URL, BLEU: 2.6, chr-F: 0.278\ntestset: URL, BLEU: 0.6, chr-F: 0.099\ntestset: URL, BLEU: 15.5, chr-F: 0.444\ntestset: URL, BLEU: 0.6, chr-F: 0.101\ntestset: URL, BLEU: 0.6, chr-F: 0.113\ntestset: URL, BLEU: 46.3, chr-F: 0.675\ntestset: URL, BLEU: 13.4, chr-F: 0.431\ntestset: URL, BLEU: 2.9, chr-F: 0.078\ntestset: URL, BLEU: 14.1, chr-F: 0.439\ntestset: URL, BLEU: 1.0, chr-F: 0.125\ntestset: URL, BLEU: 0.9, chr-F: 0.170\ntestset: URL, BLEU: 2.6, chr-F: 0.176\ntestset: URL, BLEU: 32.9, chr-F: 0.580\ntestset: URL, BLEU: 3.4, chr-F: 0.265\ntestset: URL, BLEU: 0.9, chr-F: 0.239\ntestset: URL, BLEU: 2.6, chr-F: 0.190"
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null | null | transformers |
### opus-mt-ve-en
* source languages: ve
* target languages: en
* OPUS readme: [ve-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ve.en | 41.3 | 0.566 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ve-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ve",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ve #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ve-en
* source languages: ve
* target languages: en
* OPUS readme: ve-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 41.3, chr-F: 0.566
| [
"### opus-mt-ve-en\n\n\n* source languages: ve\n* target languages: en\n* OPUS readme: ve-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.566"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ve #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ve-en\n\n\n* source languages: ve\n* target languages: en\n* OPUS readme: ve-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.566"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ve #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ve-en\n\n\n* source languages: ve\n* target languages: en\n* OPUS readme: ve-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.566"
] | [
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] |
null | null | transformers |
### opus-mt-ve-es
* source languages: ve
* target languages: es
* OPUS readme: [ve-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ve.es | 23.1 | 0.413 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ve-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ve",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ve #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-ve-es
* source languages: ve
* target languages: es
* OPUS readme: ve-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.1, chr-F: 0.413
| [
"### opus-mt-ve-es\n\n\n* source languages: ve\n* target languages: es\n* OPUS readme: ve-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: 0.413"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ve #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-ve-es\n\n\n* source languages: ve\n* target languages: es\n* OPUS readme: ve-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: 0.413"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ve #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ve-es\n\n\n* source languages: ve\n* target languages: es\n* OPUS readme: ve-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: 0.413"
] | [
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null | null | transformers |
### vie-deu
* source group: Vietnamese
* target group: German
* OPUS readme: [vie-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-deu/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.deu | 27.6 | 0.484 |
### System Info:
- hf_name: vie-deu
- source_languages: vie
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'de']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: deu
- short_pair: vi-de
- chrF2_score: 0.484
- bleu: 27.6
- brevity_penalty: 0.958
- ref_len: 3365.0
- src_name: Vietnamese
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: de
- prefer_old: False
- long_pair: vie-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["vi", "de"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-vi-de | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"vi",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"vi",
"de"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #vi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### vie-deu
* source group: Vietnamese
* target group: German
* OPUS readme: vie-deu
* model: transformer-align
* source language(s): vie
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.6, chr-F: 0.484
### System Info:
* hf\_name: vie-deu
* source\_languages: vie
* target\_languages: deu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['vi', 'de']
* src\_constituents: {'vie', 'vie\_Hani'}
* tgt\_constituents: {'deu'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: vie
* tgt\_alpha3: deu
* short\_pair: vi-de
* chrF2\_score: 0.484
* bleu: 27.6
* brevity\_penalty: 0.958
* ref\_len: 3365.0
* src\_name: Vietnamese
* tgt\_name: German
* train\_date: 2020-06-17
* src\_alpha2: vi
* tgt\_alpha2: de
* prefer\_old: False
* long\_pair: vie-deu
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### vie-deu\n\n\n* source group: Vietnamese\n* target group: German\n* OPUS readme: vie-deu\n* model: transformer-align\n* source language(s): vie\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: 27.6, chr-F: 0.484",
"### System Info:\n\n\n* hf\\_name: vie-deu\n* source\\_languages: vie\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'de']\n* src\\_constituents: {'vie', 'vie\\_Hani'}\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: vie\n* tgt\\_alpha3: deu\n* short\\_pair: vi-de\n* chrF2\\_score: 0.484\n* bleu: 27.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 3365.0\n* src\\_name: Vietnamese\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: vi\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: vie-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 #vi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### vie-deu\n\n\n* source group: Vietnamese\n* target group: German\n* OPUS readme: vie-deu\n* model: transformer-align\n* source language(s): vie\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: 27.6, chr-F: 0.484",
"### System Info:\n\n\n* hf\\_name: vie-deu\n* source\\_languages: vie\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'de']\n* src\\_constituents: {'vie', 'vie\\_Hani'}\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: vie\n* tgt\\_alpha3: deu\n* short\\_pair: vi-de\n* chrF2\\_score: 0.484\n* bleu: 27.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 3365.0\n* src\\_name: Vietnamese\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: vi\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: vie-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
124,
402
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #vi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### vie-deu\n\n\n* source group: Vietnamese\n* target group: German\n* OPUS readme: vie-deu\n* model: transformer-align\n* source language(s): vie\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: 27.6, chr-F: 0.484"
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null | null | transformers |
### vie-eng
* source group: Vietnamese
* target group: English
* OPUS readme: [vie-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-eng/README.md)
* model: transformer-align
* source language(s): vie vie_Hani
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.eng | 42.8 | 0.608 |
### System Info:
- hf_name: vie-eng
- source_languages: vie
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'en']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: eng
- short_pair: vi-en
- chrF2_score: 0.608
- bleu: 42.8
- brevity_penalty: 0.955
- ref_len: 20241.0
- src_name: Vietnamese
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: en
- prefer_old: False
- long_pair: vie-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["vi", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-vi-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"vi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"vi",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #vi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### vie-eng
* source group: Vietnamese
* target group: English
* OPUS readme: vie-eng
* model: transformer-align
* source language(s): vie vie\_Hani
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 42.8, chr-F: 0.608
### System Info:
* hf\_name: vie-eng
* source\_languages: vie
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['vi', 'en']
* src\_constituents: {'vie', 'vie\_Hani'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: vie
* tgt\_alpha3: eng
* short\_pair: vi-en
* chrF2\_score: 0.608
* bleu: 42.8
* brevity\_penalty: 0.955
* ref\_len: 20241.0
* src\_name: Vietnamese
* tgt\_name: English
* train\_date: 2020-06-17
* src\_alpha2: vi
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: vie-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### vie-eng\n\n\n* source group: Vietnamese\n* target group: English\n* OPUS readme: vie-eng\n* model: transformer-align\n* source language(s): vie vie\\_Hani\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.8, chr-F: 0.608",
"### System Info:\n\n\n* hf\\_name: vie-eng\n* source\\_languages: vie\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'en']\n* src\\_constituents: {'vie', 'vie\\_Hani'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: vie\n* tgt\\_alpha3: eng\n* short\\_pair: vi-en\n* chrF2\\_score: 0.608\n* bleu: 42.8\n* brevity\\_penalty: 0.955\n* ref\\_len: 20241.0\n* src\\_name: Vietnamese\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: vi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: vie-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 #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### vie-eng\n\n\n* source group: Vietnamese\n* target group: English\n* OPUS readme: vie-eng\n* model: transformer-align\n* source language(s): vie vie\\_Hani\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.8, chr-F: 0.608",
"### System Info:\n\n\n* hf\\_name: vie-eng\n* source\\_languages: vie\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'en']\n* src\\_constituents: {'vie', 'vie\\_Hani'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: vie\n* tgt\\_alpha3: eng\n* short\\_pair: vi-en\n* chrF2\\_score: 0.608\n* bleu: 42.8\n* brevity\\_penalty: 0.955\n* ref\\_len: 20241.0\n* src\\_name: Vietnamese\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: vi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: vie-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #vi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### vie-eng\n\n\n* source group: Vietnamese\n* target group: English\n* OPUS readme: vie-eng\n* model: transformer-align\n* source language(s): vie vie\\_Hani\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.8, chr-F: 0.608"
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null | null | transformers |
### vie-epo
* source group: Vietnamese
* target group: Esperanto
* OPUS readme: [vie-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.epo | 12.2 | 0.332 |
### System Info:
- hf_name: vie-epo
- source_languages: vie
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'eo']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt
- src_alpha3: vie
- tgt_alpha3: epo
- short_pair: vi-eo
- chrF2_score: 0.332
- bleu: 12.2
- brevity_penalty: 0.99
- ref_len: 13637.0
- src_name: Vietnamese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: vi
- tgt_alpha2: eo
- prefer_old: False
- long_pair: vie-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["vi", "eo"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-vi-eo | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"vi",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"vi",
"eo"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #vi #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### vie-epo
* source group: Vietnamese
* target group: Esperanto
* OPUS readme: vie-epo
* model: transformer-align
* source language(s): vie
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 12.2, chr-F: 0.332
### System Info:
* hf\_name: vie-epo
* source\_languages: vie
* target\_languages: epo
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['vi', 'eo']
* src\_constituents: {'vie', 'vie\_Hani'}
* tgt\_constituents: {'epo'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: vie
* tgt\_alpha3: epo
* short\_pair: vi-eo
* chrF2\_score: 0.332
* bleu: 12.2
* brevity\_penalty: 0.99
* ref\_len: 13637.0
* src\_name: Vietnamese
* tgt\_name: Esperanto
* train\_date: 2020-06-16
* src\_alpha2: vi
* tgt\_alpha2: eo
* prefer\_old: False
* long\_pair: vie-epo
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### vie-epo\n\n\n* source group: Vietnamese\n* target group: Esperanto\n* OPUS readme: vie-epo\n* model: transformer-align\n* source language(s): vie\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: 12.2, chr-F: 0.332",
"### System Info:\n\n\n* hf\\_name: vie-epo\n* source\\_languages: vie\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'eo']\n* src\\_constituents: {'vie', 'vie\\_Hani'}\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: vie\n* tgt\\_alpha3: epo\n* short\\_pair: vi-eo\n* chrF2\\_score: 0.332\n* bleu: 12.2\n* brevity\\_penalty: 0.99\n* ref\\_len: 13637.0\n* src\\_name: Vietnamese\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: vi\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: vie-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 #vi #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### vie-epo\n\n\n* source group: Vietnamese\n* target group: Esperanto\n* OPUS readme: vie-epo\n* model: transformer-align\n* source language(s): vie\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: 12.2, chr-F: 0.332",
"### System Info:\n\n\n* hf\\_name: vie-epo\n* source\\_languages: vie\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'eo']\n* src\\_constituents: {'vie', 'vie\\_Hani'}\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: vie\n* tgt\\_alpha3: epo\n* short\\_pair: vi-eo\n* chrF2\\_score: 0.332\n* bleu: 12.2\n* brevity\\_penalty: 0.99\n* ref\\_len: 13637.0\n* src\\_name: Vietnamese\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: vi\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: vie-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
123,
401
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #vi #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### vie-epo\n\n\n* source group: Vietnamese\n* target group: Esperanto\n* OPUS readme: vie-epo\n* model: transformer-align\n* source language(s): vie\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: 12.2, chr-F: 0.332"
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