code: def test_for_sequence_classification(self):
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_distilbert_for_sequence_classification(
          *config_and_inputs
      )
  
imports: import os
  import tempfile
  import unittest
  from transformers import DistilBertConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 6 for calling the DistilBertModelTest obj's underlying member method code with example usage: obj.test_for_sequence_classification() without return types