class_docstr: HuggingFace's ByteLevelBPE Tokenizer.
  
  Fast because Rust.
class_docstr_tok: ["HuggingFace","'s","ByteLevelBPE","Tokenizer",".","Fast","because","Rust","."]
docstr: Save appropriate files.
  
  :param dir_name:
      directory to save.
  :param file_name:
      file to save.
docstr_tok: ["Save","appropriate","files",".",":","param","dir_name",":","directory","to","save",".",":","param","file_name",":","file","to","save","."]
code: def save(self, dir_name: str, file_name: str):
      """
      Save appropriate files.
  
      :param dir_name:
          directory to save.
      :param file_name:
          file to save.
      """
      self.tokenizer.save_model(dir_name, file_name)
  
imports: from parlai.core.params import ParlaiParser
  from abc import ABC, abstractmethod
  from functools import lru_cache
  import json
  import os
  import random
  import re
  from typing import Dict, List, Optional, Set, Tuple
  from typing_extensions import final
  from parlai.core.build_data import download, make_dir
  from parlai.core.opt import Opt
  from parlai.utils.misc import warn_once
  from parlai.utils.typing import TShared
  from parlai.utils.io import PathManager
  import parlai.utils.logging
label_desc: Use image node_id 6 for calling the HuggingFaceBpeHelper obj's underlying member method code with example usage: obj.save(dir_name, file_name) without return types