
### eng-hin

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

*  model: transformer-align
* source language(s): eng
* target language(s): hin
* 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/eng-hin/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014.eng.hin 	| 6.9 	| 0.296 |
| newstest2014-hien.eng.hin 	| 9.9 	| 0.323 |
| Tatoeba-test.eng.hin 	| 16.1 	| 0.447 |


### System Info: 
- hf_name: eng-hin

- source_languages: eng

- target_languages: hin

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'hin'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt

- src_alpha3: eng

- tgt_alpha3: hin

- short_pair: en-hi

- chrF2_score: 0.447

- bleu: 16.1

- brevity_penalty: 1.0

- ref_len: 32904.0

- src_name: English

- tgt_name: Hindi

- train_date: 2020-06-17

- src_alpha2: en

- tgt_alpha2: hi

- prefer_old: False

- long_pair: eng-hin

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-hin


* source group: English
* target group: Hindi
* OPUS readme: eng-hin
* model: transformer-align
* source language(s): eng
* target language(s): hin
* 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: 6.9, chr-F: 0.296
testset: URL, BLEU: 9.9, chr-F: 0.323
testset: URL, BLEU: 16.1, chr-F: 0.447


### System Info:


* hf\_name: eng-hin
* source\_languages: eng
* target\_languages: hin
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'hi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'hin'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: hin
* short\_pair: en-hi
* chrF2\_score: 0.447
* bleu: 16.1
* brevity\_penalty: 1.0
* ref\_len: 32904.0
* src\_name: English
* tgt\_name: Hindi
* train\_date: 2020-06-17
* src\_alpha2: en
* tgt\_alpha2: hi
* prefer\_old: False
* long\_pair: eng-hin
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-hin


* source group: English
* target group: Hindi
* OPUS readme: eng-hin
* model: transformer-align
* source language(s): eng
* target language(s): hin
* 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: 6.9, chr-F: 0.296
testset: URL, BLEU: 9.9, chr-F: 0.323
testset: URL, BLEU: 16.1, chr-F: 0.447 ### System Info:


* hf\_name: eng-hin
* source\_languages: eng
* target\_languages: hin
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'hi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'hin'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: hin
* short\_pair: en-hi
* chrF2\_score: 0.447
* bleu: 16.1
* brevity\_penalty: 1.0
* ref\_len: 32904.0
* src\_name: English
* tgt\_name: Hindi
* train\_date: 2020-06-17
* src\_alpha2: en
* tgt\_alpha2: hi
* prefer\_old: False
* long\_pair: eng-hin
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #hi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-hin


* source group: English
* target group: Hindi
* OPUS readme: eng-hin
* model: transformer-align
* source language(s): eng
* target language(s): hin
* 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: 6.9, chr-F: 0.296
testset: URL, BLEU: 9.9, chr-F: 0.323
testset: URL, BLEU: 16.1, chr-F: 0.447 ### System Info:


* hf\_name: eng-hin
* source\_languages: eng
* target\_languages: hin
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'hi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'hin'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: hin
* short\_pair: en-hi
* chrF2\_score: 0.447
* bleu: 16.1
* brevity\_penalty: 1.0
* ref\_len: 32904.0
* src\_name: English
* tgt\_name: Hindi
* train\_date: 2020-06-17
* src\_alpha2: en
* tgt\_alpha2: hi
* prefer\_old: False
* long\_pair: eng-hin
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #hi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-hin


* source group: English
* target group: Hindi
* OPUS readme: eng-hin
* model: transformer-align
* source language(s): eng
* target language(s): hin
* 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: 6.9, chr-F: 0.296
testset: URL, BLEU: 9.9, chr-F: 0.323
testset: URL, BLEU: 16.1, chr-F: 0.447