TF: standardize test_model_common_attributes for language models (#23457)

tests/models/lxmert/test_modeling_tf_lxmert.py

@@ -581,27 +581,6 @@ class TFLxmertModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCa
             extended_model = tf.keras.Model(inputs=[input_ids, visual_feats, visual_pos], outputs=[outputs])
             extended_model.compile(optimizer=optimizer, loss=loss, metrics=[metric])
 
-    def test_model_common_attributes(self):
-        config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
-        list_lm_models = [TFLxmertForPreTraining]
-
-        for model_class in self.all_model_classes:
-            model = model_class(config)
-            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)
-            else:
-                x = model.get_output_embeddings()
-                assert x is None
-                name = model.get_bias()
-                assert name is None
-
     @tooslow
     def test_saved_model_creation(self):
         pass