class_docstr: Wrapper of HuggingFace AutoTokenizer https://huggingface.co/transformers/model_doc/auto.html#autotokenizer.
class_docstr_tok: ["Wrapper","of","HuggingFace","AutoTokenizer","https",":","\/\/huggingface.co\/transformers\/model_doc\/auto.html","#","autotokenizer","."]
docstr: Adds a dictionary of special tokens (eos, pad, cls...). If special tokens are NOT in the vocabulary, they are added
  to it (indexed starting from the last index of the current vocabulary).
  Args:
      special_tokens_dict: dict of string. Keys should be in the list of predefined special attributes:
          [``bos_token``, ``eos_token``, ``unk_token``, ``sep_token``, ``pad_token``, ``cls_token``, ``mask_token``,
          ``additional_special_tokens``].
      Tokens are only added if they are not already in the vocabulary.
  Returns:
      Number of tokens added to the vocabulary.
docstr_tok: ["Adds","a","dictionary","of","special","tokens","(","eos",",","pad",",","cls","...",")",".","If","special","tokens","are","NOT","in","the","vocabulary",",","they","are","added","to","it","(","indexed","starting","from","the","last","index","of","the","current","vocabulary",")",".","Args",":","special_tokens_dict",":","dict","of","string",".","Keys","should","be","in","the","list","of","predefined","special","attributes",":","[","``","bos_token","``",",","``","eos_token","``",",","``","unk_token","``",",","``","sep_token","``",",","``","pad_token","``",",","``","cls_token","``",",","``","mask_token","``",",","``","additional_special_tokens","``","]",".","Tokens","are","only","added","if","they","are","not","already","in","the","vocabulary",".","Returns",":","Number","of","tokens","added","to","the","vocabulary","."]
code: def add_special_tokens(self, special_tokens_dict: dict) -> int:
      """
      Adds a dictionary of special tokens (eos, pad, cls...). If special tokens are NOT in the vocabulary, they are added
      to it (indexed starting from the last index of the current vocabulary).
      Args:
          special_tokens_dict: dict of string. Keys should be in the list of predefined special attributes:
              [``bos_token``, ``eos_token``, ``unk_token``, ``sep_token``, ``pad_token``, ``cls_token``, ``mask_token``,
              ``additional_special_tokens``].
          Tokens are only added if they are not already in the vocabulary.
      Returns:
          Number of tokens added to the vocabulary.
      """
      num_tokens_added = self.tokenizer.add_special_tokens(
          special_tokens_dict
      )
  
      if num_tokens_added > 0:
          logging.info(
              f"{num_tokens_added} special tokens added, resize your model accordingly."
          )
      for k in self.tokenizer.SPECIAL_TOKENS_ATTRIBUTES:
          setattr(self, k, getattr(self.tokenizer, k, None))
      return num_tokens_added
  
imports: from typing import Optional
  from transformers import AutoTokenizer
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.utils import logging
label_desc: Use image node_id 3 for calling the AutoTokenizer obj's underlying member method code with example usage: obj.add_special_tokens(special_tokens_dict) and returns: num_tokens_added