code: def test_for_token_classification(self):
      (
          config,
          input_ids,
          bbox,
          pixel_values,
          token_type_ids,
          input_mask,
          _,
          token_labels,
      ) = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_for_token_classification(
          config,
          input_ids,
          bbox,
          pixel_values,
          token_type_ids,
          input_mask,
          token_labels,
      )
  
imports: from __future__ import annotations
  import copy
  import inspect
  import unittest
  import numpy
  from transformers import is_tf_available, is_vision_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tf, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 9 for calling the TFLayoutLMv3ModelTest obj's underlying member method code with example usage: obj.test_for_token_classification() without return types