code: def test_from_pretrained_transformer(self, model_name):
      namespace = "tokens"
      from allennlp.common import cached_transformers
  
      tokenizer = cached_transformers.get_tokenizer(model_name)
  
      vocab = Vocabulary.from_pretrained_transformer(
          model_name, namespace=namespace
      )
      assert vocab._token_to_index[namespace] == tokenizer.get_vocab()
      vocab.save_to_files(self.TEST_DIR / "vocab")
  
      vocab1 = Vocabulary.from_files(self.TEST_DIR / "vocab")
      assert vocab1._token_to_index[namespace] == tokenizer.get_vocab()
  
imports: import codecs
  import gzip
  import pickle
  import shutil
  import zipfile
  from copy import deepcopy
  import pytest
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Instance, Token
  from allennlp.data.batch import Batch
  from allennlp.data.fields import TextField
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenCharactersIndexer
  from allennlp.data.tokenizers import CharacterTokenizer
  from allennlp.data.vocabulary import _NamespaceDependentDefaultDict, _read_pretrained_tokens, DEFAULT_OOV_TOKEN, Vocabulary
  from allennlp.modules.token_embedders.embedding import format_embeddings_file_uri
label_desc: Use image node_id 1 for calling the TestVocabularyFromPretrainedTransformer obj's underlying member method code with example usage: obj.test_from_pretrained_transformer(model_name) without return types