
### hin-urd

* source group: Hindi 
* target group: Urdu 
*  OPUS readme: [hin-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hin-urd/README.md)

*  model: transformer-align
* source language(s): hin
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hin.urd 	| 12.4 	| 0.393 |


### System Info: 
- hf_name: hin-urd

- source_languages: hin

- target_languages: urd

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['hi', 'ur']

- src_constituents: {'hin'}

- tgt_constituents: {'urd'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.test.txt

- src_alpha3: hin

- tgt_alpha3: urd

- short_pair: hi-ur

- chrF2_score: 0.39299999999999996

- bleu: 12.4

- brevity_penalty: 1.0

- ref_len: 1618.0

- src_name: Hindi

- tgt_name: Urdu

- train_date: 2020-06-16

- src_alpha2: hi

- tgt_alpha2: ur

- prefer_old: False

- long_pair: hin-urd

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### hin-urd


* source group: Hindi
* target group: Urdu
* OPUS readme: hin-urd
* model: transformer-align
* source language(s): hin
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 12.4, chr-F: 0.393


### System Info:


* hf\_name: hin-urd
* source\_languages: hin
* target\_languages: urd
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['hi', 'ur']
* src\_constituents: {'hin'}
* tgt\_constituents: {'urd'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: hin
* tgt\_alpha3: urd
* short\_pair: hi-ur
* chrF2\_score: 0.39299999999999996
* bleu: 12.4
* brevity\_penalty: 1.0
* ref\_len: 1618.0
* src\_name: Hindi
* tgt\_name: Urdu
* train\_date: 2020-06-16
* src\_alpha2: hi
* tgt\_alpha2: ur
* prefer\_old: False
* long\_pair: hin-urd
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### hin-urd


* source group: Hindi
* target group: Urdu
* OPUS readme: hin-urd
* model: transformer-align
* source language(s): hin
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 12.4, chr-F: 0.393 ### System Info:


* hf\_name: hin-urd
* source\_languages: hin
* target\_languages: urd
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['hi', 'ur']
* src\_constituents: {'hin'}
* tgt\_constituents: {'urd'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: hin
* tgt\_alpha3: urd
* short\_pair: hi-ur
* chrF2\_score: 0.39299999999999996
* bleu: 12.4
* brevity\_penalty: 1.0
* ref\_len: 1618.0
* src\_name: Hindi
* tgt\_name: Urdu
* train\_date: 2020-06-16
* src\_alpha2: hi
* tgt\_alpha2: ur
* prefer\_old: False
* long\_pair: hin-urd
* 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 #hi #ur #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### hin-urd


* source group: Hindi
* target group: Urdu
* OPUS readme: hin-urd
* model: transformer-align
* source language(s): hin
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 12.4, chr-F: 0.393 ### System Info:


* hf\_name: hin-urd
* source\_languages: hin
* target\_languages: urd
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['hi', 'ur']
* src\_constituents: {'hin'}
* tgt\_constituents: {'urd'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: hin
* tgt\_alpha3: urd
* short\_pair: hi-ur
* chrF2\_score: 0.39299999999999996
* bleu: 12.4
* brevity\_penalty: 1.0
* ref\_len: 1618.0
* src\_name: Hindi
* tgt\_name: Urdu
* train\_date: 2020-06-16
* src\_alpha2: hi
* tgt\_alpha2: ur
* prefer\_old: False
* long\_pair: hin-urd
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #hi #ur #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### hin-urd


* source group: Hindi
* target group: Urdu
* OPUS readme: hin-urd
* model: transformer-align
* source language(s): hin
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 12.4, chr-F: 0.393