code: def test_model_common_attributes(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          self.assertIsInstance(
              model.get_input_embeddings(), QuantEmbedding
          )
          model.set_input_embeddings(nn.Embedding(10, 10))
          x = model.get_output_embeddings()
          self.assertTrue(x is None or isinstance(x, nn.Linear))
  
imports: import copy
  import unittest
  from transformers import IBertConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 12 for calling the IBertModelTest obj's underlying member method code with example usage: obj.test_model_common_attributes() without return types