code: def test_inference_scorer(self):
      num_candidates = 2
  
      model = RealmScorer.from_pretrained(
          "google/realm-cc-news-pretrained-scorer",
          num_candidates=num_candidates,
      )
  
      input_ids = torch.tensor([[0, 1, 2, 3, 4, 5]])
      candidate_input_ids = torch.tensor(
          [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]
      )
      output = model(
          input_ids, candidate_input_ids=candidate_input_ids
      )[0]
  
      expected_shape = torch.Size((1, 2))
      self.assertEqual(output.shape, expected_shape)
  
      expected_slice = torch.tensor([[0.7410, 0.7170]])
      self.assertTrue(torch.allclose(output, expected_slice, atol=1e-4))
  
imports: import copy
  import unittest
  import numpy
  from transformers import RealmConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 5 for calling the RealmModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_scorer() without return types