code: def test_model_as_bert(self):
      (
          config,
          input_ids,
          input_mask,
          token_labels,
      ) = self.model_tester.prepare_config_and_inputs()
      config.model_type = "bert"
      self.model_tester.create_and_check_model(
          config, input_ids, input_mask, token_labels
      )
  
imports: import unittest
  from transformers import BertGenerationConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the BertGenerationEncoderTest obj's underlying member method code with example usage: obj.test_model_as_bert() without return types