class_docstr: Test the process of importing the models from Hugging Face Transformers
  
  Test methods in this test suite check the following things
  1. Models loaded with Hugging Face Transformers cane be imported.
  2. The same model can be recreated without Hugging Face Transformers.
class_docstr_tok: ["Test","the","process","of","importing","the","models","from","Hugging","Face","Transformers","Test","methods","in","this","test","suite","check","the","following","things","1",".","Models","loaded","with","Hugging","Face","Transformers","cane","be","imported",".","2",".","The","same","model","can","be","recreated","without","Hugging","Face","Transformers","."]
docstr: Imported models can be recreated via a factory function without Hugging Face transformers.
docstr_tok: ["Imported","models","can","be","recreated","via","a","factory","function","without","Hugging","Face","transformers","."]
code: def test_recreate_pretrain(self, config, factory_func):
      """Imported models can be recreated via a factory function without Hugging Face transformers."""
      imported = import_huggingface_model(
          self._get_model(config)
      ).eval()
      reloaded = factory_func()
      reloaded.load_state_dict(imported.state_dict())
      reloaded.eval()
      self._test_recreate(imported, reloaded, config)
  
imports: import json
  import unittest
  import torch
  from parameterized import parameterized
  from torchaudio.models.wav2vec2 import wav2vec2_base, wav2vec2_large, wav2vec2_large_lv60k, wav2vec2_xlsr_1b, wav2vec2_xlsr_2b, wav2vec2_xlsr_300m, wavlm_base, wavlm_large
  from torchaudio.models.wav2vec2.utils import import_huggingface_model
  from torchaudio_unittest.common_utils import get_asset_path, skipIfCudaSmallMemory, skipIfNoModule, TorchaudioTestCase, zip_equal
label_desc: Use image node_id 9 for calling the TestHFIntegration obj's underlying member method code with example usage: obj.test_recreate_pretrain(config, factory_func) without return types