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instructions/Multilingual Models/M2M_100.md

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## M2M_100
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You can fine-tune a NLLB model from HuggingFace through ``model=NLLB``, ``model_path=<hf-or-local-path>``, ``dataset=<dataset-name>``. Specifically, M2M is a Multilingual Model. You can set source language and target language with ``tokenizer_kwargs={'src_lang': 'source language', 'tgt_lang': 'target_language'}``.
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You can fine-tune a M2M_100 model from HuggingFace through ``model=M2M_100``, ``model_path=<hf-or-local-path>``, ``dataset=<dataset-name>``. Specifically, M2M is a Multilingual Model. You can set source language and target language with ``tokenizer_kwargs={'src_lang': 'source language', 'tgt_lang': 'target_language'}``.
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Example usage:
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