
### en-he

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

*  model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.zip)
* test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.test.txt)
* test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.heb 	| 37.9 	| 0.602 |


### System Info: 
- hf_name: en-he

- source_languages: eng

- target_languages: heb

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: ('English', {'eng'})

- tgt_constituents: ('Hebrew', {'heb'})

- src_multilingual: False

- tgt_multilingual: False

- long_pair: eng-heb

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.test.txt

- src_alpha3: eng

- tgt_alpha3: heb

- chrF2_score: 0.602

- bleu: 37.9

- brevity_penalty: 1.0

- ref_len: 60359.0

- src_name: English

- tgt_name: Hebrew

- train_date: 2020-10-04 00:00:00

- src_alpha2: en

- tgt_alpha2: he

- prefer_old: False

- short_pair: en-he

- helsinki_git_sha: 7b1a514877868084fd74350d261519e092b5b2dc

- transformers_git_sha: 8e58566183ee49f9dbc4819a95a678fcfb1b7528

- port_machine: MacBook-Pro.local

- port_time: 2020-10-11-13:07
{"language": ["en", "he"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch marian text2text-generation translation en he license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #translation #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

### en-he


* source group: English
* target group: Hebrew
* OPUS readme: eng-heb
* model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 37.9, chr-F: 0.602


### System Info:


* hf\_name: en-he
* source\_languages: eng
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'he']
* src\_constituents: ('English', {'eng'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: eng-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: heb
* chrF2\_score: 0.602
* bleu: 37.9
* brevity\_penalty: 1.0
* ref\_len: 60359.0
* src\_name: English
* tgt\_name: Hebrew
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: en
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: en-he
* helsinki\_git\_sha: 7b1a514877868084fd74350d261519e092b5b2dc
* transformers\_git\_sha: 8e58566183ee49f9dbc4819a95a678fcfb1b7528
* port\_machine: URL
* port\_time: 2020-10-11-13:07



### en-he


* source group: English
* target group: Hebrew
* OPUS readme: eng-heb
* model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 37.9, chr-F: 0.602 ### System Info:


* hf\_name: en-he
* source\_languages: eng
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'he']
* src\_constituents: ('English', {'eng'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: eng-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: heb
* chrF2\_score: 0.602
* bleu: 37.9
* brevity\_penalty: 1.0
* ref\_len: 60359.0
* src\_name: English
* tgt\_name: Hebrew
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: en
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: en-he
* helsinki\_git\_sha: 7b1a514877868084fd74350d261519e092b5b2dc
* transformers\_git\_sha: 8e58566183ee49f9dbc4819a95a678fcfb1b7528
* port\_machine: URL
* port\_time: 2020-10-11-13:07
TAGS
#transformers #pytorch #marian #text2text-generation #translation #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### en-he


* source group: English
* target group: Hebrew
* OPUS readme: eng-heb
* model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 37.9, chr-F: 0.602 ### System Info:


* hf\_name: en-he
* source\_languages: eng
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'he']
* src\_constituents: ('English', {'eng'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: eng-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: heb
* chrF2\_score: 0.602
* bleu: 37.9
* brevity\_penalty: 1.0
* ref\_len: 60359.0
* src\_name: English
* tgt\_name: Hebrew
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: en
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: en-he
* helsinki\_git\_sha: 7b1a514877868084fd74350d261519e092b5b2dc
* transformers\_git\_sha: 8e58566183ee49f9dbc4819a95a678fcfb1b7528
* port\_machine: URL
* port\_time: 2020-10-11-13:07
passage: TAGS
#transformers #pytorch #marian #text2text-generation #translation #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### en-he


* source group: English
* target group: Hebrew
* OPUS readme: eng-heb
* model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 37.9, chr-F: 0.602