code: def create_and_check_model(self, config, input_ids, input_mask):
      model = TFCLIPTextModel(config=config)
      result = model(
          input_ids, attention_mask=input_mask, training=False
      )
      result = model(input_ids, training=False)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length, self.hidden_size),
      )
      self.parent.assertEqual(
          result.pooler_output.shape,
          (self.batch_size, self.hidden_size),
      )
  
imports: import inspect
  import os
  import tempfile
  import unittest
  from importlib import import_module
  import requests
  from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig
  from transformers.testing_utils import require_tf, require_vision, slow
  from transformers.utils import is_tf_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the TFCLIPTextModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, input_ids, input_mask) without return types