code: def get_encoder_decoder_model(self, config, decoder_config):
      encoder_model = FlaxWav2Vec2Model(config)
      decoder_model = FlaxBertForCausalLM(decoder_config)
      return encoder_model, decoder_model
  
imports: import tempfile
  import unittest
  import numpy
  from transformers import is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow, torch_device
  from ...test_modeling_flax_common import floats_tensor, ids_tensor, random_attention_mask
  from ..bart.test_modeling_flax_bart import FlaxBartStandaloneDecoderModelTester
  from ..bert.test_modeling_flax_bert import FlaxBertModelTester
  from ..gpt2.test_modeling_flax_gpt2 import FlaxGPT2ModelTester
  from ..wav2vec2.test_modeling_flax_wav2vec2 import FlaxWav2Vec2ModelTester
label_desc: Use image node_id 2 for calling the FlaxWav2Vec2BertModelTest obj's underlying member method code with example usage: obj.get_encoder_decoder_model(config, decoder_config) and returns: encoder_model,  decoder_model