code: def create_and_check_transfo_xl_for_sequence_classification(
      self, config, input_ids_1, input_ids_2, lm_labels
  ):
      config.num_labels = self.num_labels
      model = TransfoXLForSequenceClassification(config)
      model.to(torch_device)
      model.eval()
      result = model(input_ids_1)
      self.parent.assertEqual(
          result.logits.shape, (self.batch_size, self.num_labels)
      )
  
imports: import copy
  import random
  import unittest
  from transformers import TransfoXLConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_multi_gpu, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 11 for calling the TransfoXLModelTester obj's underlying member method code with example usage: obj.create_and_check_transfo_xl_for_sequence_classification(config, input_ids_1, input_ids_2, lm_labels) without return types