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def language_translator(text):
    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
    model = AutoModelForSeq2SeqLM.from_pretrained("finetune-EN-to-Ta/")
    # model = AutoModelForSeq2SeqLM.from_pretrained("finetune-EN-to-Ta/")
    tokenized = tokenizer([text], return_tensors='pt')
    out = model.generate(**tokenized, max_length=128)
    with tokenizer.as_target_tokenizer():
        return tokenizer.decode(out[0],skip_special_tokens=True)

text_to_translate = "How are you?"
output = language_translator(text_to_translate)
print(output)
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Tensor type
F32
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