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--- |
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language: |
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- it |
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pipeline_tag: translation |
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--- |
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To initialize the model: |
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from transformers import MBartForConditionalGeneration, MBart50TokenizerFast |
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model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50", output_hidden_states=True) |
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To generate text using the model: |
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tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50", src_lang="it_IT", tgt_lang="it_IT") |
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input = tokenizer("I was here yesterday to studying",text_target="I was here yesterday to study", return_tensors='pt') |
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output = hidden_states = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["it_IT"]) |
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