code: def create_and_check_model_with_adapter(
      self, config, input_values, attention_mask
  ):
      config.add_adapter = True
      model = Data2VecAudioModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(input_values, attention_mask=attention_mask)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (
              self.batch_size,
              self.adapter_output_seq_length,
              self.hidden_size,
          ),
      )
  
imports: import math
  import unittest
  import numpy
  from datasets import load_dataset
  from tests.test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
  from transformers import Data2VecAudioConfig, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_soundfile, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init
label_desc: Use image node_id 5 for calling the Data2VecAudioModelTester obj's underlying member method code with example usage: obj.create_and_check_model_with_adapter(config, input_values, attention_mask) without return types