code: def _load_config(*paths):
      with open(
          f'{get_asset_path("wav2vec2", "huggingface", *paths)}.json',
          "r",
      ) as file_:
          return json.load(file_)
  
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 1 for calling a global function with example usage: _load_config() and returns: json