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Tokenization encode/decode class-based sequence handling

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LysandreJik
2019-08-09 15:01:38 -04:00
parent fbd746bd06
commit 14e970c271
5 changed files with 47 additions and 19 deletions
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8
pytorch_transformers/tokenization_xlm.py
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@@ -214,6 +214,14 @@ class XLMTokenizer(PreTrainedTokenizer):
out_string = ''.join(tokens).replace('</w>', ' ').strip()
return out_string
def add_special_tokens_single_sentence(self, token_ids):
return [self._convert_token_to_id(self.cls_token)] + token_ids + [self._convert_token_to_id(self.sep_token)]
def add_special_tokens_sentences_pair(self, *token_ids):
sep = [self._convert_token_to_id(self.sep_token)]
cls = [self._convert_token_to_id(self.cls_token)]
return cls + token_ids[0] + sep + token_ids[1] + sep
def save_vocabulary(self, save_directory):
"""Save the tokenizer vocabulary and merge files to a directory."""
if not os.path.isdir(save_directory):