class_docstr: Here we also overwrite some of the tests of test_modeling_common.py, as Levit does not use input_ids, inputs_embeds,
  attention_mask and seq_length.
class_docstr_tok: ["Here","we","also","overwrite","some","of","the","tests","of","test_modeling_common.py",",","as","Levit","does","not","use","input_ids",",","inputs_embeds",",","attention_mask","and","seq_length","."]
code: def test_for_image_classification(self):
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_for_image_classification(
          *config_and_inputs
      )
  
imports: import inspect
  import unittest
  import warnings
  from math import ceil, floor
  from transformers import LevitConfig
  from transformers.file_utils import cached_property, is_torch_available, is_vision_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 11 for calling the LevitModelTest obj's underlying member method code with example usage: obj.test_for_image_classification() without return types