code: def get_encoder_decoder_model(self, config, decoder_config):
      encoder_model = TFViTModel(config, name="encoder")
      decoder_model = TFGPT2LMHeadModel(decoder_config, name="decoder")
      return encoder_model, decoder_model
  
imports: from __future__ import annotations
  import copy
  import os
  import tempfile
  import unittest
  import numpy
  from transformers import is_tf_available, is_torch_available, is_vision_available
  from transformers.testing_utils import is_pt_tf_cross_test, require_tf, require_torch, require_vision, slow, torch_device
  from transformers.utils.generic import ModelOutput
  from ...test_modeling_tf_common import floats_tensor, ids_tensor
  from ..gpt2.test_modeling_tf_gpt2 import TFGPT2ModelTester
  from ..vit.test_modeling_tf_vit import TFViTModelTester
label_desc: Use image node_id 2 for calling the TFViT2GPT2EncoderDecoderModelTest obj's underlying member method code with example usage: obj.get_encoder_decoder_model(config, decoder_config) and returns: encoder_model,  decoder_model