code: def test_tokenizer_from_pretrained(self):
      for model_name in (
          x
          for x in BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys()
          if "japanese" not in x
      ):
          tokenizer = AutoTokenizer.from_pretrained(model_name)
          self.assertIsNotNone(tokenizer)
          self.assertIsInstance(
              tokenizer, (BertTokenizer, BertTokenizerFast)
          )
          self.assertGreater(len(tokenizer), 0)
  
      for model_name in GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP.keys():
          tokenizer = AutoTokenizer.from_pretrained(model_name)
          self.assertIsNotNone(tokenizer)
          self.assertIsInstance(
              tokenizer, (GPT2Tokenizer, GPT2TokenizerFast)
          )
          self.assertGreater(len(tokenizer), 0)
  
imports: import os
  import shutil
  import sys
  import tempfile
  import unittest
  from pathlib import Path
  import pytest
  from transformers import BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, AutoTokenizer, BertConfig, BertTokenizer, BertTokenizerFast, CTRLTokenizer, GPT2Tokenizer, GPT2TokenizerFast, PreTrainedTokenizerFast, RobertaTokenizer, RobertaTokenizerFast, is_tokenizers_available
  from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
  from transformers.models.auto.tokenization_auto import TOKENIZER_MAPPING, get_tokenizer_config, tokenizer_class_from_name
  from transformers.models.roberta.configuration_roberta import RobertaConfig
  from transformers.testing_utils import DUMMY_DIFF_TOKENIZER_IDENTIFIER, DUMMY_UNKNOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, RequestCounter, require_tokenizers, slow
  from test_module.custom_configuration import CustomConfig
  from test_module.custom_tokenization import CustomTokenizer
label_desc: Use image node_id 1 for calling the AutoTokenizerTest obj's underlying member method code with example usage: obj.test_tokenizer_from_pretrained() without return types