code: def create_and_check_model(self, config, pixel_values, labels):
      model = TFViTModel(config=config)
      result = model(pixel_values, training=False)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length, self.hidden_size),
      )
  
      # Test with an image with different size than the one specified in config.
      image_size = self.image_size // 2
      pixel_values = pixel_values[:, :, :image_size, :image_size]
      result = model(
          pixel_values, interpolate_pos_encoding=True, training=False
      )
      seq_length = (image_size // self.patch_size) ** 2 + 1
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, seq_length, self.hidden_size),
      )
  
imports: import inspect
  import unittest
  from transformers import ViTConfig
  from transformers.testing_utils import require_tf, require_vision, slow
  from transformers.utils import cached_property, is_tf_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 4 for calling the TFViTModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, pixel_values, labels) without return types