### it-he

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

*  model: transformer
* source language(s): ita
* 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/ita-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.heb 	| 38.5 	| 0.593 |


### System Info: 
- hf_name: it-he

- source_languages: ita

- target_languages: heb

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: ('Italian', {'ita'})

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

- src_multilingual: False

- tgt_multilingual: False

- long_pair: ita-heb

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ita

- tgt_alpha3: heb

- chrF2_score: 0.593

- bleu: 38.5

- brevity_penalty: 0.985

- ref_len: 9796.0

- src_name: Italian

- tgt_name: Hebrew

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

- src_alpha2: it

- tgt_alpha2: he

- prefer_old: False

- short_pair: it-he

- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96

- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de

- port_machine: LM0-400-22516.local

- port_time: 2020-12-11-16:02
{"language": ["it", "he"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation it he license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #it #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### it-he


* source group: Italian
* target group: Hebrew
* OPUS readme: ita-heb
* model: transformer
* source language(s): ita
* 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: 38.5, chr-F: 0.593


### System Info:


* hf\_name: it-he
* source\_languages: ita
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'he']
* src\_constituents: ('Italian', {'ita'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: ita-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: heb
* chrF2\_score: 0.593
* bleu: 38.5
* brevity\_penalty: 0.985
* ref\_len: 9796.0
* src\_name: Italian
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: it
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: it-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:02



### it-he


* source group: Italian
* target group: Hebrew
* OPUS readme: ita-heb
* model: transformer
* source language(s): ita
* 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: 38.5, chr-F: 0.593 ### System Info:


* hf\_name: it-he
* source\_languages: ita
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'he']
* src\_constituents: ('Italian', {'ita'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: ita-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: heb
* chrF2\_score: 0.593
* bleu: 38.5
* brevity\_penalty: 0.985
* ref\_len: 9796.0
* src\_name: Italian
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: it
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: it-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:02
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #it #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### it-he


* source group: Italian
* target group: Hebrew
* OPUS readme: ita-heb
* model: transformer
* source language(s): ita
* 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: 38.5, chr-F: 0.593 ### System Info:


* hf\_name: it-he
* source\_languages: ita
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'he']
* src\_constituents: ('Italian', {'ita'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: ita-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: heb
* chrF2\_score: 0.593
* bleu: 38.5
* brevity\_penalty: 0.985
* ref\_len: 9796.0
* src\_name: Italian
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: it
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: it-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:02
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #it #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### it-he


* source group: Italian
* target group: Hebrew
* OPUS readme: ita-heb
* model: transformer
* source language(s): ita
* 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: 38.5, chr-F: 0.593