class_docstr: Runs pre-tokenization with Jieba segmentation tool. It is used in CPM models.
class_docstr_tok: ["Runs","pre-tokenization","with","Jieba","segmentation","tool",".","It","is","used","in","CPM","models","."]
code: def _decode(self, *args, **kwargs):
      text = super()._decode(*args, **kwargs)
      text = (
          text.replace(" ", "")
          .replace("\u2582", " ")
          .replace("\u2583", "\n")
      )
      return text
  
file_path: transformers/src/transformers/models/cpm/tokenization_cpm_fast.py
imports: import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
  from ...utils import logging
label_desc: Use image node_id 7 for calling the CpmTokenizerFast obj's underlying member method code with example usage: obj._decode() and returns: text