
# mBART-large Russian to Chinese and  Chinese to Russian multilingual machine translation

This model is a fine-tuned checkpoint of [mBART-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt). `joefox/mbart-large-ru-zh-ru-many-to-many-mmt` is fine-tuned for ru-zh and zh-ru machine translation. 




The model can translate directly between any pair of Russian and Chinese languages. To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the `forced_bos_token_id` parameter to the `generate` method..

This [post in Russian](https://habr.com/ru/post/721330/) gives more details.



Example translate Russian to Chinese

```python
from transformers import MBartForConditionalGeneration, MBart50TokenizerFast

model = MBartForConditionalGeneration.from_pretrained("joefox/mbart-large-ru-zh-ru-many-to-many-mmt")
tokenizer = MBart50TokenizerFast.from_pretrained("joefox/mbart-large-ru-zh-ru-many-to-many-mmt")

src_text = "Съешь ещё этих мягких французских булок."

# translate Russian to Chinese
tokenizer.src_lang = "ru_RU"
encoded_ru = tokenizer(src_text, return_tensors="pt")
generated_tokens = model.generate(
    **encoded_ru,
    forced_bos_token_id=tokenizer.lang_code_to_id["zh_CN"]
)
result = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)

print(result)
#再吃一些法国面包。
```

and Example translate Chinese to Russian



```python
from transformers import MBartForConditionalGeneration, MBart50TokenizerFast

model = MBartForConditionalGeneration.from_pretrained("joefox/mbart-large-ru-zh-ru-many-to-many-mmt")
tokenizer = MBart50TokenizerFast.from_pretrained("joefox/mbart-large-ru-zh-ru-many-to-many-mmt")

src_text = "吃一些软的法国面包。"
# translate Chinese to Russian
tokenizer.src_lang = "zh_CN"
encoded_zh = tokenizer(src_text, return_tensors="pt")
generated_tokens = model.generate(
    **encoded_zh,
    forced_bos_token_id=tokenizer.lang_code_to_id["ru_RU"]
)
result = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
print(result)
#Ешьте немного французского хлеба.
```

## Languages covered

Russian (ru_RU), Chinese (zh_CN)


{"language": ["ru", "zh"], "license": "mit", "tags": ["translation"], "datasets": ["ccmatrix", "joefox/newstest-2017-2019-ru_zh"], "metrics": ["sacrebleu"]}
transformers pytorch mbart text2text-generation translation ru zh dataset:ccmatrix dataset:joefox/newstest-2017-2019-ru_zh license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #translation #ru #zh #dataset-ccmatrix #dataset-joefox/newstest-2017-2019-ru_zh #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 


# mBART-large Russian to Chinese and  Chinese to Russian multilingual machine translation

This model is a fine-tuned checkpoint of mBART-large-50-many-to-many-mmt. 'joefox/mbart-large-ru-zh-ru-many-to-many-mmt' is fine-tuned for ru-zh and zh-ru machine translation. 




The model can translate directly between any pair of Russian and Chinese languages. To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the 'forced_bos_token_id' parameter to the 'generate' method..

This post in Russian gives more details.



Example translate Russian to Chinese



and Example translate Chinese to Russian





## Languages covered

Russian (ru_RU), Chinese (zh_CN)


# mBART-large Russian to Chinese and  Chinese to Russian multilingual machine translation

This model is a fine-tuned checkpoint of mBART-large-50-many-to-many-mmt. 'joefox/mbart-large-ru-zh-ru-many-to-many-mmt' is fine-tuned for ru-zh and zh-ru machine translation. 




The model can translate directly between any pair of Russian and Chinese languages. To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the 'forced_bos_token_id' parameter to the 'generate' method..

This post in Russian gives more details.



Example translate Russian to Chinese



and Example translate Chinese to Russian ## Languages covered

Russian (ru_RU), Chinese (zh_CN)
TAGS
#transformers #pytorch #mbart #text2text-generation #translation #ru #zh #dataset-ccmatrix #dataset-joefox/newstest-2017-2019-ru_zh #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # mBART-large Russian to Chinese and  Chinese to Russian multilingual machine translation

This model is a fine-tuned checkpoint of mBART-large-50-many-to-many-mmt. 'joefox/mbart-large-ru-zh-ru-many-to-many-mmt' is fine-tuned for ru-zh and zh-ru machine translation. 




The model can translate directly between any pair of Russian and Chinese languages. To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the 'forced_bos_token_id' parameter to the 'generate' method..

This post in Russian gives more details.



Example translate Russian to Chinese



and Example translate Chinese to Russian ## Languages covered

Russian (ru_RU), Chinese (zh_CN)
TAGS
#transformers #pytorch #mbart #text2text-generation #translation #ru #zh #dataset-ccmatrix #dataset-joefox/newstest-2017-2019-ru_zh #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# mBART-large Russian to Chinese and  Chinese to Russian multilingual machine translation

This model is a fine-tuned checkpoint of mBART-large-50-many-to-many-mmt. 'joefox/mbart-large-ru-zh-ru-many-to-many-mmt' is fine-tuned for ru-zh and zh-ru machine translation. 




The model can translate directly between any pair of Russian and Chinese languages. To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the 'forced_bos_token_id' parameter to the 'generate' method..

This post in Russian gives more details.



Example translate Russian to Chinese



and Example translate Chinese to Russian## Languages covered

Russian (ru_RU), Chinese (zh_CN)