code: def _decode(
      self,
      token_ids: List[int],
      skip_special_tokens: bool = False,
      **kwargs,
  ) -> str:
      tokens = self.convert_ids_to_tokens(
          token_ids, skip_special_tokens=skip_special_tokens
      )
  
      # Fix '##' subtoken
      tokens = [
          x.lstrip("#") if x.startswith("##") else x for x in tokens
      ]
  
      x_str = "".join(tokens)
      x_str = x_str.replace(" ", "")
      x_str = x_str.replace(self._space_token, " ")
      return x_str
  
file_path: DeepKE/src/deepke/name_entity_re/cross/seq2seq/t5_bert_tokenizer.py
imports: import logging
  from typing import Optional, List
  from transformers import BertTokenizer
label_desc: Use image node_id 6 for calling the T5BertTokenizer obj's underlying member method code with example usage: obj._decode(token_ids, skip_special_tokens) and returns: x_str