joefox/mbart-large-ru-zh-ru-many-to-many-mmt

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

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

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)