code: def get_encoder_decoder_model(self, config, decoder_config):
      encoder_model = Wav2Vec2Model(config).eval()
      decoder_model = BertLMHeadModel(decoder_config).eval()
      return encoder_model, decoder_model
  
imports: import tempfile
  import unittest
  from transformers import is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
  from ..bert.test_modeling_bert import BertModelTester
  from ..speech_to_text.test_modeling_speech_to_text import Speech2TextModelTester
  from ..speech_to_text_2.test_modeling_speech_to_text_2 import Speech2Text2StandaloneDecoderModelTester
  from ..wav2vec2.test_modeling_wav2vec2 import Wav2Vec2ModelTester
label_desc: Use image node_id 2 for calling the Wav2Vec2BertModelTest obj's underlying member method code with example usage: obj.get_encoder_decoder_model(config, decoder_config) and returns: encoder_model,  decoder_model