class_docstr: Loads a HuggingFace ``transformers`` model and tokenizer.
docstr: Helper method that for `tokenize`
  Args:
      inputs (list[str]): list of input strings
  Returns:
      tokens (list[list[str]]): List of list of tokens as strings
code: def _tokenize(self, inputs):
      """Helper method that for `tokenize`
      Args:
          inputs (list[str]): list of input strings
      Returns:
          tokens (list[list[str]]): List of list of tokens as strings
      """
      return [
          self.tokenizer.convert_ids_to_tokens(
              self.tokenizer([x], truncation=True)["input_ids"][0]
          )
          for x in inputs
      ]
  
file_path: TextAttack/textattack/models/wrappers/huggingface_model_wrapper.py
imports: import torch
  import transformers
  import textattack
  from textattack.models.helpers import T5ForTextToText
  from textattack.models.tokenizers import T5Tokenizer
  from .pytorch_model_wrapper import PyTorchModelWrapper
label_desc: Use image node_id 4 for calling the HuggingFaceModelWrapper obj's underlying member method code with example usage: obj._tokenize(inputs) and returns: unknown