class_docstr: Use Hugging Face tokenizers.
class_docstr_tok: ["Use","Hugging","Face","tokenizers","."]
docstr: Whether to skip special tokens when converting tokens to text.
docstr_tok: ["Whether","to","skip","special","tokens","when","converting","tokens","to","text","."]
code: def skip_decode_special_tokens(self) -> bool:
      """
      Whether to skip special tokens when converting tokens to text.
      """
  
imports: import os
  import re
  from abc import ABC, abstractmethod, abstractproperty
  from collections import defaultdict
  from typing import List
  from parlai.core.dict import DictionaryAgent
  from parlai.core.opt import Opt
  from parlai.utils.io import PathManager
label_desc: Use image node_id 6 for calling the HuggingFaceDictionaryAgent obj's underlying member method code with example usage: obj.skip_decode_special_tokens() without return types