code: def __init__(
      self,
      model_name_or_path: str,
  ):
      assert check_argument_types()
  
      if not is_transformers_available:
          raise ImportError(
              "`transformers` is not available. Please install it via `pip install"
              " transformers` or `cd /path/to/espnet/tools && . ./activate_python.sh"
              " && ./installers/install_transformers.sh`."
          )
  
      self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
  
imports: from typing import Iterable, List, Union
  import numpy
  from typeguard import check_argument_types
label_desc: Use image node_id 1 to create a new HuggingFaceTokenIDConverter object  with example: obj = HuggingFaceTokenIDConverter(model_name_or_path)