class_docstr: Here we also overwrite some of the tests of test_modeling_common.py, as AST does not use input_ids, inputs_embeds,
  attention_mask and seq_length.
code: def test_model_from_pretrained(self):
      for (
          model_name
      ) in AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST[
          :1
      ]:
          model = ASTModel.from_pretrained(model_name)
          self.assertIsNotNone(model)
  
imports: import inspect
  import unittest
  from huggingface_hub import hf_hub_download
  from transformers import ASTConfig
  from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_torchaudio_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the ASTModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types