convert_tokens_to_string(tokens) print("Decoded Text:", decoded_text) 输出: Tokens: ['Hello', ',', 'Ġworld', '!'] Token IDs: [15496, 11, 995, 0] Tokens: ['Hello', ',', 'Ġworld', '!'] Decoded Text: Hello, wo
tokens -> string: .convert_tokens_to_string()input_ids -> string: .decode()/.batch_decode()input_ids -> tokens: .convert_ids_to_tokens() tokenizer(str | list of str) 实现单个字符串或者多个字符串的编码。 tokenizer本身实现了__call__方法,所以直接使用对象来调用即可,这也是最常使用的方式...
解码操作,实现了词汇的解码convert_ids_to_tokens和转换convert_tokens_to_string。首先会将给出的编码输入,如上面的id列表,转换成相应的分词结果,再转换成相应的输入序列。 self.convert_tokens_to_string(self.convert_ids_to_tokens(token_ids)) __EOF__...
returnself.fairseq_ids_to_tokens[index] returnself.sp_model.IdToPiece(index - self.fairseq_offset) defconvert_tokens_to_string(self, tokens): """Converts a sequence of tokens (strings for sub-words) in a single string.""" out_string ="".join(tokens).replace(SPIECE_UNDERLINE," ").st...
def_convert_id_to_token(self, id_): returnself.vocab[id_] defget_vocab(self): returnself.token2id tokenizer = miniTokenizer("vocab.txt") tokenizer(["1!123"])# {'input_ids': [[1, 6, 1, 2, 3]], 'token_type_ids': [[0, 0, 0, 0, 0]], 'attentio...
tokens = tokenizer.convert_ids_to_tokens(ids) print(tokens) # ['这', '是', '一', '段', '测', '试', '文', '本'] # 也可以逆向操作:token 序列 -> 字符串 str_sen = tokenizer.convert_tokens_to_string(tokens) print(str_sen) # 这是一段测试文本 ...
str_sen = tokenizer.convert_tokens_to_string(tokens) str_sen ''' '弱 小的我也有大梦想!' ''' 1. 2. 3. 4. 5. 6. 7. 5.整合上面的操作 句子(字符串)转换为编码 # 将字符串转换为id序列,又称之为编码 ids = tokenizer.encode(sen, add_special_tokens=True) # add_special_tokens=True ...
convert_ids_to_tokens() of the tokenizer is not working fine. The problem arises when using: my own modified scripts: (give details below) The tasks I am working on is: an official GLUE/SQUaD task: (give the name) my own task or dataset To reproduce Steps to reproduce the behavior:...
eos_token_id # a transformer tokenizer was given with byte_decoder elif hasattr(tokenizer, "convert_ids_to_tokens"): byte_tokens = [bytes(tokenizer.convert_tokens_to_string(['a', tokenizer.convert_ids_to_tokens(i)])[1:], encoding="utf8") for i in range(tokenizer.vocab_size)] bos_...
""" # noqa: D205 if isinstance(strings, str): strings = [strings] for string in strings: for token in string: if token not in self.vocab: self.vocab[token] = len(self.vocab) self.decode_vocab[self.vocab[token]] = token return self ids_to_tokens(ids) Convert Ids to tokens. ...