### es-he

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

*  model: transformer
* source language(s): spa
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.heb 	| 43.6 	| 0.636 |


### System Info: 
- hf_name: es-he

- source_languages: spa

- target_languages: heb

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: ('Spanish', {'spa'})

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

- src_multilingual: False

- tgt_multilingual: False

- long_pair: spa-heb

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt

- src_alpha3: spa

- tgt_alpha3: heb

- chrF2_score: 0.636

- bleu: 43.6

- brevity_penalty: 0.992

- ref_len: 12112.0

- src_name: Spanish

- tgt_name: Hebrew

- train_date: 2020-12-10 00:00:00

- src_alpha2: es

- tgt_alpha2: he

- prefer_old: False

- short_pair: es-he

- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96

- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de

- port_machine: LM0-400-22516.local

- port_time: 2020-12-11-11:41
{"language": ["es", "he"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation es he license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### es-he


* source group: Spanish
* target group: Hebrew
* OPUS readme: spa-heb
* model: transformer
* source language(s): spa
* 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: 43.6, chr-F: 0.636


### System Info:


* hf\_name: es-he
* source\_languages: spa
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['es', 'he']
* src\_constituents: ('Spanish', {'spa'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: spa-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: spa
* tgt\_alpha3: heb
* chrF2\_score: 0.636
* bleu: 43.6
* brevity\_penalty: 0.992
* ref\_len: 12112.0
* src\_name: Spanish
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: es
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: es-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-11:41



### es-he


* source group: Spanish
* target group: Hebrew
* OPUS readme: spa-heb
* model: transformer
* source language(s): spa
* 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: 43.6, chr-F: 0.636 ### System Info:


* hf\_name: es-he
* source\_languages: spa
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['es', 'he']
* src\_constituents: ('Spanish', {'spa'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: spa-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: spa
* tgt\_alpha3: heb
* chrF2\_score: 0.636
* bleu: 43.6
* brevity\_penalty: 0.992
* ref\_len: 12112.0
* src\_name: Spanish
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: es
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: es-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-11:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### es-he


* source group: Spanish
* target group: Hebrew
* OPUS readme: spa-heb
* model: transformer
* source language(s): spa
* 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: 43.6, chr-F: 0.636 ### System Info:


* hf\_name: es-he
* source\_languages: spa
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['es', 'he']
* src\_constituents: ('Spanish', {'spa'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: spa-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: spa
* tgt\_alpha3: heb
* chrF2\_score: 0.636
* bleu: 43.6
* brevity\_penalty: 0.992
* ref\_len: 12112.0
* src\_name: Spanish
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: es
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: es-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-11:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### es-he


* source group: Spanish
* target group: Hebrew
* OPUS readme: spa-heb
* model: transformer
* source language(s): spa
* 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: 43.6, chr-F: 0.636