docstr: Whether to decode special tokens when converting tokens to strings.
docstr_tok: ["Whether","to","decode","special","tokens","when","converting","tokens","to","strings","."]
code: def skip_decode_special_tokens(self) -> bool:
      """
      Whether to decode special tokens when converting tokens to strings.
      """
      return True
  
imports: from parlai.agents.transformer.transformer import TransformerRankerAgent
  from parlai.agents.transformer.modules import TransformerMemNetModel, TransformerEncoder
  from parlai.agents.hugging_face.dict import HuggingFaceDictionaryAgent
  from parlai.agents.rag.args import DPR_ZOO_MODEL
  from parlai.agents.rag.conversion_utils import BertConversionUtils
  from parlai.core.build_data import modelzoo_path
  from parlai.core.dict import DictionaryAgent
  from parlai.core.loader import register_agent
  from parlai.core.opt import Opt
  from parlai.core.torch_ranker_agent import TorchRankerAgent
  from parlai.utils.io import PathManager
  import parlai.utils.logging
  import os
  import torch
  import torch.cuda
  import torch.nn
  from transformers import BertConfig
  from typing import Dict, Optional
label_desc: Use image node_id 3 for calling the BertTokenizerDictionaryAgent obj's underlying member method code with example usage: obj.skip_decode_special_tokens() and returns: True