leo.for

问题解决了吗

same question,did u fix it?

BaichuanTokenizer类里修改一下，他在没有load sp_model的情况下调用了sp_model ``` self.sp_model = spm.SentencePieceProcessor(**self.sp_model_kwargs) self.sp_model.Load(vocab_file) super().__init__( bos_token=bos_token, eos_token=eos_token, unk_token=unk_token, pad_token=pad_token, add_bos_token=add_bos_token, add_eos_token=add_eos_token, sp_model_kwargs=self.sp_model_kwargs, clean_up_tokenization_spaces=clean_up_tokenization_spaces, **kwargs, ) self.vocab_file = vocab_file self.add_bos_token = add_bos_token self.add_eos_token = add_eos_token ```