code: def make(cls, name: str, config: Dict[str, Any]) -> "ITokenizer":
      if name in tokenizers:
          return super().make(name, config)
      tag = "tokenizers"
      repo = "pretrained-models"
      name = get_compatible_name(tag, repo, name, [(3, 8), (3, 9)])
      if check_available(tag, repo, name):
          with open(download_tokenizer(name), "rb") as f:
              return dill.load(f)
      raise ValueError(f"unrecognized tokenizer '{name}' occurred")
  
file_path: carefree-learn/cflearn/models/nlp/tokenizers/schema.py
imports: import dill
  import numpy
  from abc import abstractmethod
  from abc import ABCMeta
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Type
  from typing import Union
  from cftool.misc import WithRegister
  from ....misc.toolkit import check_available
  from ....misc.toolkit import download_tokenizer
  from ....misc.toolkit import get_compatible_name
label_desc: Use image node_id 2 for calling the ITokenizer obj's underlying member method code with example usage: obj.make(cls, name, config) and returns: super, dill