Helsinki-NLP

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opus-mt-zh-en

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Language Technology Research Group at the University of Helsinki 249

Check this link: https://huggingface.co/docs/transformers/model_doc/marian

from transformers import MarianMTModel, MarianTokenizer

src_text = [
    "你好。",
    "今天天气非常棒！",
    "心情好是最重要的。",
]

model_name = "Helsinki-NLP/opus-mt-zh-en"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
res = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
print(res)

the result is:

['Hello.', "It's a beautiful day!", 'Good moods are the most important.']