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from transformers import FSMTForConditionalGeneration, FSMTTokenizer | |
mname = "facebook/wmt19-en-ru" | |
tokenizer = FSMTTokenizer.from_pretrained(mname, cache_dir='./cache') | |
model = FSMTForConditionalGeneration.from_pretrained( | |
mname, cache_dir='./cache') | |
def translator_en_ru(text): | |
input_ids = tokenizer.encode(text, return_tensors="pt") | |
outputs = model.generate(input_ids) | |
decoded = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
return decoded | |