
### ukr-hbs

* source group: Ukrainian 
* target group: Serbo-Croatian 
*  OPUS readme: [ukr-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md)

*  model: transformer-align
* source language(s): ukr
* target language(s): hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hbs 	| 42.8 	| 0.631 |


### System Info: 
- hf_name: ukr-hbs

- source_languages: ukr

- target_languages: hbs

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['uk', 'sh']

- src_constituents: {'ukr'}

- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: hbs

- short_pair: uk-sh

- chrF2_score: 0.631

- bleu: 42.8

- brevity_penalty: 0.96

- ref_len: 5128.0

- src_name: Ukrainian

- tgt_name: Serbo-Croatian

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: sh

- prefer_old: False

- long_pair: ukr-hbs

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### ukr-hbs


* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: ukr-hbs
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp\_Cyrl srp\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 42.8, chr-F: 0.631


### System Info:


* hf\_name: ukr-hbs
* source\_languages: ukr
* target\_languages: hbs
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'sh']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hbs
* short\_pair: uk-sh
* chrF2\_score: 0.631
* bleu: 42.8
* brevity\_penalty: 0.96
* ref\_len: 5128.0
* src\_name: Ukrainian
* tgt\_name: Serbo-Croatian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: sh
* prefer\_old: False
* long\_pair: ukr-hbs
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### ukr-hbs


* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: ukr-hbs
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp\_Cyrl srp\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 42.8, chr-F: 0.631 ### System Info:


* hf\_name: ukr-hbs
* source\_languages: ukr
* target\_languages: hbs
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'sh']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hbs
* short\_pair: uk-sh
* chrF2\_score: 0.631
* bleu: 42.8
* brevity\_penalty: 0.96
* ref\_len: 5128.0
* src\_name: Ukrainian
* tgt\_name: Serbo-Croatian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: sh
* prefer\_old: False
* long\_pair: ukr-hbs
* 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 #uk #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### ukr-hbs


* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: ukr-hbs
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp\_Cyrl srp\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 42.8, chr-F: 0.631 ### System Info:


* hf\_name: ukr-hbs
* source\_languages: ukr
* target\_languages: hbs
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'sh']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hbs
* short\_pair: uk-sh
* chrF2\_score: 0.631
* bleu: 42.8
* brevity\_penalty: 0.96
* ref\_len: 5128.0
* src\_name: Ukrainian
* tgt\_name: Serbo-Croatian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: sh
* prefer\_old: False
* long\_pair: ukr-hbs
* 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 #uk #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### ukr-hbs


* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: ukr-hbs
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp\_Cyrl srp\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 42.8, chr-F: 0.631### System Info:


* hf\_name: ukr-hbs
* source\_languages: ukr
* target\_languages: hbs
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'sh']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hbs
* short\_pair: uk-sh
* chrF2\_score: 0.631
* bleu: 42.8
* brevity\_penalty: 0.96
* ref\_len: 5128.0
* src\_name: Ukrainian
* tgt\_name: Serbo-Croatian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: sh
* prefer\_old: False
* long\_pair: ukr-hbs
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41