
### ita-vie

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.vie 	| 36.2 	| 0.535 |


### System Info: 
- hf_name: ita-vie

- source_languages: ita

- target_languages: vie

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ita'}

- tgt_constituents: {'vie', 'vie_Hani'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ita

- tgt_alpha3: vie

- short_pair: it-vi

- chrF2_score: 0.535

- bleu: 36.2

- brevity_penalty: 1.0

- ref_len: 2144.0

- src_name: Italian

- tgt_name: Vietnamese

- train_date: 2020-06-17

- src_alpha2: it

- tgt_alpha2: vi

- prefer_old: False

- long_pair: ita-vie

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### ita-vie


* source group: Italian
* target group: Vietnamese
* OPUS readme: ita-vie
* model: transformer-align
* source language(s): ita
* target language(s): vie
* 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: 36.2, chr-F: 0.535


### System Info:


* hf\_name: ita-vie
* source\_languages: ita
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'vi']
* src\_constituents: {'ita'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: vie
* short\_pair: it-vi
* chrF2\_score: 0.535
* bleu: 36.2
* brevity\_penalty: 1.0
* ref\_len: 2144.0
* src\_name: Italian
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: it
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: ita-vie
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### ita-vie


* source group: Italian
* target group: Vietnamese
* OPUS readme: ita-vie
* model: transformer-align
* source language(s): ita
* target language(s): vie
* 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: 36.2, chr-F: 0.535 ### System Info:


* hf\_name: ita-vie
* source\_languages: ita
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'vi']
* src\_constituents: {'ita'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: vie
* short\_pair: it-vi
* chrF2\_score: 0.535
* bleu: 36.2
* brevity\_penalty: 1.0
* ref\_len: 2144.0
* src\_name: Italian
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: it
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: ita-vie
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #it #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### ita-vie


* source group: Italian
* target group: Vietnamese
* OPUS readme: ita-vie
* model: transformer-align
* source language(s): ita
* target language(s): vie
* 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: 36.2, chr-F: 0.535 ### System Info:


* hf\_name: ita-vie
* source\_languages: ita
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'vi']
* src\_constituents: {'ita'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: vie
* short\_pair: it-vi
* chrF2\_score: 0.535
* bleu: 36.2
* brevity\_penalty: 1.0
* ref\_len: 2144.0
* src\_name: Italian
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: it
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: ita-vie
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #it #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### ita-vie


* source group: Italian
* target group: Vietnamese
* OPUS readme: ita-vie
* model: transformer-align
* source language(s): ita
* target language(s): vie
* 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: 36.2, chr-F: 0.535### System Info:


* hf\_name: ita-vie
* source\_languages: ita
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'vi']
* src\_constituents: {'ita'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ita
* tgt\_alpha3: vie
* short\_pair: it-vi
* chrF2\_score: 0.535
* bleu: 36.2
* brevity\_penalty: 1.0
* ref\_len: 2144.0
* src\_name: Italian
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: it
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: ita-vie
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41