get_special_tokens_mask 从没有添加特殊标记的标记列表中检索序列 ID。 convert_ids_to_tokens 使用词汇表和添加的标记将单个索引或索引序列转换为标记或标记序列。 _convert_id_to_token* convert_tokens_to_string 将标记列表转换为字符串。 _decode 将标记 ID 列表解码为字符串。 我们实现自己的tokenizer需要...
special_tokens=[ ("[CLS]",1), ("[SEP]",2), ], ) fromtokenizers.trainersimportWordPieceTrainer trainer = WordPieceTrainer( vocab_size=30522, special_tokens=["[UNK]","[CLS]","[SEP]","[PAD]","[MASK]"] ) files = [ f"data/wikitext-103-raw/wiki.{split}...
注意,如果 token 属于任何句子(如 special token),那么它的 sequence_id 为None。 special_token_mask:一个整数列表,指定哪些 token 是special token、哪些不是。 tokens:一个字符串列表,表示生成的 token 序列。 type_ids:一个整数列表,表示生成的 type ID。常用于序列分类或问答任务,使得语言模型知道每个 token...
build_inputs_with_special_tokens(self,token_ids_0,token_ids_1=None) 功能:为输入的单句或句对前后增加特殊符号[CLS]和[SEP] '''输入输出比较简单,代码就不做解释了input: A output: [CLS] A [SEP]input A,B output: [CLS] A [SEP] B [SEP]''' get_special_tokens_mask 输入:句子或者句对 ...
special_tokens=[ ('[CLS]',1), ('[SEP]',2), ], ) fromtokenizers.trainersimportWordPieceTrainer trainer = WordPieceTrainer( vocab_size=30522, special_tokens=['[UNK]','[CLS]','[SEP]','[PAD]','[MASK]'] ) files = [ f'data/wikitext-103-raw/wiki.{split}.raw' ...
processed = tokenizer("this <test1> that <test2> this") processed['special_tokens_mask'] = tokenizer.get_special_tokens_mask(processed['input_ids'], already_has_special_tokens=True) It works fine for me on one sentence, but it seems get_special_tokens_mask cannot encode in batch, unlike...
Whether to include special tokens mask information in the returned dictionary. Defaults toFalse. return_dict(bool, optional): Decide the format for returned encoded batch inputs.Only works when input is a batch of data. If True, encoded inputs would be a dictionary like: ...
return super().get_special_tokens_mask( token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=True )# normal case: some special tokens if token_ids_1 is None: return ([0] * len(token_ids_0)) + [1] return ([0] * len(token_ids_0)) + [1] ...
return_special_tokens_mask: bool=False, return_offsets_mapping: bool=False, return_length: bool=False, verbose: bool=True,**kwargs )->BatchEncoding:"""Tokenize and prepare for the model a sequence or a pair of sequences. .. warning:: ...
return_special_tokens_mask: bool=False, return_offsets_mapping: bool=False, return_length: bool=False, verbose: bool=True,**kwargs )->BatchEncoding:"""Tokenize and prepare for the model a sequence or a pair of sequences. .. warning:: ...