If this is something worth putting in a check for (cases where BOS and EOS tokens are the same), without changing the base tokenizer behavior, this is the simplest I could come up with: Remove this: forbinbatch:ifb[-1]==tokenizer.eos_token_id:print("[WARNING] Example already has an ...
use avocab.jsonstyle lookup to convert each token to an ID. I'm trying to do that in one step, usingsp_model.encode_as_ids, but my ids are off by 1, because the special tokens (sp_model.bos_token, etc) are different than fairseq's dictionary object: ...
I aim to incorporate standard tokens into my work by utilizing appropriate "standard tokens". Unfortunately, the method suggested did not prove to be effective as the .bos_token still remains as None. tokenizer.bos_token=None tokenizer.cls_token=None tokenizer.sep_token=None tokenizer.mask_token...
cls:一个 (str, int) 的元组,给出 [CLS] token 及其id。 方法: num_special_tokens_to_add(is_pair):返回需要添加到 single/pair 句子的 special token 的数量。 参数:is_pair:一个布尔值,指定预期的输入是单个句子还是句子对。 process(encoding, pair=None, add_special_tokens=True):对指定的 encoding...
Returns: List[int]: Token IDs with BOS and EOS tokens added. """ bos_id = self.sp_model.piece_to_id(self.bos_token) eos_id = self.sp_model.piece_to_id(self.eos_token) return [bos_id] + token_ids + [eos_id] def save_vocab(self, save_directory: str) -> str: """ Save...
cls_token="[CLS]", tokenize_chinese_chars=True, strip_accents=None, offset=100, pre_tokenizer=lambda x: jieba.cut(x, HMM=False), **kwargs): self.offset = offset if additional_special_tokens is not None: if not isinstance(additional_special_tokens, list): raise TypeError(...
"bos_token": "<sop>", "eos_token": "<eop>", "end_token": "", "gmask_token": "[gMASK]", "mask_token": "[MASK]", "pad_token": "<pad>", "unk_token": "<unk>", "remove_space": false, "do_lower_case": false, "tokenizer...
self.characters = None self.tokens = None self.vocab = None def format_word(self, text, space_token='_'): return' '.join(list(text)) +' '+ space_token def initialize_vocab(self, text): text = re.sub('\s+',' ', text) ...
self.characters = None self.tokens = None self.vocab = None def format_word(self, text, space_token='_'): return ' '.join(list(text)) + ' ' + space_token def initialize_vocab(self, text): text = re.sub('\s+', ' ', text) ...
self.tokens=None self.vocab=None defformat_word(self,text,space_token='_'):return' '.join(list(text))+' '+space_token definitialize_vocab(self,text):text=re.sub('\s+',' ',text)all_words=text.split()vocab={}forwordinall_words:word=self.format_word(word)vocab[word]=vocab.get(wor...