class_docstr: Use Bert to generate words.
  
  Example::
  
      小明喜欢看书 -> 小明喜欢看报纸
docstr: :param **kwargs:
docstr_tok: [":","param","*","*","kwargs",":"]
code: def __init__(self, **kwargs):
      r"""
      :param **kwargs:
      """
      super().__init__()
  
file_path: textflint/textflint/generation/transformation/CWS/cn_mlm.py
imports: import torch
  from transformers import BertTokenizer, BertForMaskedLM
  from ..transformation import Transformation
  from ....input.component.field.cn_text_field import CnTextField
  from ....common.preprocess.cn_processor import CnProcessor
  from ....common.settings import ORIGIN, MODIFIED_MASK
label_desc: Use image node_id 1 to create a new CnMLM object from inherited base classes: Transformation with example: obj = CnMLM()