code: def test_model_common_attributes(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      list_lm_models = [TFCTRLLMHeadModel]
      list_other_models_with_output_ebd = [
          TFCTRLForSequenceClassification
      ]
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          model.build_in_name_scope()  # may be needed for the get_bias() call below
          assert isinstance(
              model.get_input_embeddings(), tf.keras.layers.Layer
          )
  
          if model_class in list_lm_models:
              x = model.get_output_embeddings()
              assert isinstance(x, tf.keras.layers.Layer)
              name = model.get_bias()
              assert isinstance(name, dict)
              for k, v in name.items():
                  assert isinstance(v, tf.Variable)
          elif model_class in list_other_models_with_output_ebd:
              x = model.get_output_embeddings()
              assert isinstance(x, tf.keras.layers.Layer)
              name = model.get_bias()
              assert name is None
          else:
              x = model.get_output_embeddings()
              assert x is None
              name = model.get_bias()
              assert name is None
  
imports: from __future__ import annotations
  import unittest
  from transformers import CTRLConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the TFCTRLModelTest obj's underlying member method code with example usage: obj.test_model_common_attributes() without return types