code: def create_and_check_for_question_answering(
      self, config, input_ids, input_mask, token_labels
  ):
      config.num_labels = self.num_labels
      model = GPTNeoXForQuestionAnswering(config)
      model.to(torch_device)
      model.eval()
      result = model(input_ids, attention_mask=input_mask)
      self.parent.assertEqual(
          result.start_logits.shape, (self.batch_size, self.seq_length)
      )
      self.parent.assertEqual(
          result.end_logits.shape, (self.batch_size, self.seq_length)
      )
  
imports: import unittest
  from parameterized import parameterized
  from transformers import AutoTokenizer, GPTNeoXConfig, is_torch_available, set_seed
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the GPTNeoXModelTester obj's underlying member method code with example usage: obj.create_and_check_for_question_answering(config, input_ids, input_mask, token_labels) without return types