code: def create_and_check_model(self, config, pixel_values, labels):
      model = ConvNextModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(pixel_values)
      # expected last hidden states: B, C, H // 32, W // 32
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (
              self.batch_size,
              self.hidden_sizes[-1],
              self.image_size // 32,
              self.image_size // 32,
          ),
      )
  
imports: import unittest
  from transformers import ConvNextConfig
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...test_backbone_common import BackboneTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the ConvNextModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, pixel_values, labels) without return types