code: def test_inference_no_head(self):
      model = DebertaModel.from_pretrained("microsoft/deberta-base")
  
      input_ids = torch.tensor(
          [[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]]
      )
      attention_mask = torch.tensor([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
      with torch.no_grad():
          output = model(input_ids, attention_mask=attention_mask)[0]
      # compare the actual values for a slice.
      expected_slice = torch.tensor(
          [
              [
                  [-0.5986, -0.8055, -0.8462],
                  [1.4484, -0.9348, -0.8059],
                  [0.3123, 0.0032, -1.4131],
              ]
          ]
      )
      self.assertTrue(
          torch.allclose(
              output[:, 1:4, 1:4], expected_slice, atol=1e-4
          ),
          f"{output[:, 1:4, 1:4]}",
      )
  
imports: import unittest
  from transformers import DebertaConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 2 for calling the DebertaModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types