
### zho-eng

* source group: Chinese 
* target group: English 
*  OPUS readme: [zho-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-eng/README.md)

*  model: transformer
* source language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.zip)
* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.test.txt)
* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.eng 	| 36.1 	| 0.548 |


### System Info: 
- hf_name: zho-eng

- source_languages: zho

- target_languages: eng

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-eng/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['zh', 'en']

- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_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/zho-eng/opus-2020-07-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.test.txt

- src_alpha3: zho

- tgt_alpha3: eng

- short_pair: zh-en

- chrF2_score: 0.5479999999999999

- bleu: 36.1

- brevity_penalty: 0.948

- ref_len: 82826.0

- src_name: Chinese

- tgt_name: English

- train_date: 2020-07-17

- src_alpha2: zh

- tgt_alpha2: en

- prefer_old: False

- long_pair: zho-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["zh", "en"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch rust marian text2text-generation translation zh en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #rust #marian #text2text-generation #translation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

### zho-eng


* source group: Chinese
* target group: English
* OPUS readme: zho-eng
* model: transformer
* source language(s): cjy\_Hans cjy\_Hant cmn cmn\_Hans cmn\_Hant gan lzh lzh\_Hans nan wuu yue yue\_Hans yue\_Hant
* 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: 36.1, chr-F: 0.548


### System Info:


* hf\_name: zho-eng
* source\_languages: zho
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'en']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: eng
* short\_pair: zh-en
* chrF2\_score: 0.5479999999999999
* bleu: 36.1
* brevity\_penalty: 0.948
* ref\_len: 82826.0
* src\_name: Chinese
* tgt\_name: English
* train\_date: 2020-07-17
* src\_alpha2: zh
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: zho-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### zho-eng


* source group: Chinese
* target group: English
* OPUS readme: zho-eng
* model: transformer
* source language(s): cjy\_Hans cjy\_Hant cmn cmn\_Hans cmn\_Hant gan lzh lzh\_Hans nan wuu yue yue\_Hans yue\_Hant
* 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: 36.1, chr-F: 0.548 ### System Info:


* hf\_name: zho-eng
* source\_languages: zho
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'en']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: eng
* short\_pair: zh-en
* chrF2\_score: 0.5479999999999999
* bleu: 36.1
* brevity\_penalty: 0.948
* ref\_len: 82826.0
* src\_name: Chinese
* tgt\_name: English
* train\_date: 2020-07-17
* src\_alpha2: zh
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: zho-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #rust #marian #text2text-generation #translation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### zho-eng


* source group: Chinese
* target group: English
* OPUS readme: zho-eng
* model: transformer
* source language(s): cjy\_Hans cjy\_Hant cmn cmn\_Hans cmn\_Hant gan lzh lzh\_Hans nan wuu yue yue\_Hans yue\_Hant
* 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: 36.1, chr-F: 0.548 ### System Info:


* hf\_name: zho-eng
* source\_languages: zho
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'en']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: eng
* short\_pair: zh-en
* chrF2\_score: 0.5479999999999999
* bleu: 36.1
* brevity\_penalty: 0.948
* ref\_len: 82826.0
* src\_name: Chinese
* tgt\_name: English
* train\_date: 2020-07-17
* src\_alpha2: zh
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: zho-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #rust #marian #text2text-generation #translation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### zho-eng


* source group: Chinese
* target group: English
* OPUS readme: zho-eng
* model: transformer
* source language(s): cjy\_Hans cjy\_Hant cmn cmn\_Hans cmn\_Hant gan lzh lzh\_Hans nan wuu yue yue\_Hans yue\_Hant
* 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: 36.1, chr-F: 0.548### System Info:


* hf\_name: zho-eng
* source\_languages: zho
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'en']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: eng
* short\_pair: zh-en
* chrF2\_score: 0.5479999999999999
* bleu: 36.1
* brevity\_penalty: 0.948
* ref\_len: 82826.0
* src\_name: Chinese
* tgt\_name: English
* train\_date: 2020-07-17
* src\_alpha2: zh
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: zho-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41