code: def create_and_check_ctrl_for_sequence_classification(
      self, config, input_ids, head_mask, token_type_ids, *args
  ):
      config.num_labels = self.num_labels
      model = CTRLForSequenceClassification(config)
      model.to(torch_device)
      model.eval()
      sequence_labels = ids_tensor(
          [self.batch_size], self.type_sequence_label_size
      )
      result = model(
          input_ids,
          token_type_ids=token_type_ids,
          labels=sequence_labels,
      )
      self.parent.assertEqual(
          result.logits.shape, (self.batch_size, self.num_labels)
      )
  
imports: import gc
  import unittest
  from transformers import CTRLConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 7 for calling the CTRLModelTester obj's underlying member method code with example usage: obj.create_and_check_ctrl_for_sequence_classification(config, input_ids, head_mask, token_type_ids) without return types