code: def test_inference_no_head(self):
      model = MvpModel.from_pretrained("RUCAIBox/mvp").to(torch_device)
      input_ids = _long_tensor(
          [[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]]
      )
      attention_mask = input_ids.ne(model.config.pad_token_id)
      with torch.no_grad():
          output = model(
              input_ids=input_ids, attention_mask=attention_mask
          ).last_hidden_state
      expected_shape = torch.Size((1, 11, 1024))
      self.assertEqual(output.shape, expected_shape)
      expected_slice = torch.tensor(
          [
              [0.3461, 0.3624, 0.2689],
              [0.3461, 0.3624, 0.2689],
              [-0.1562, 1.1637, -0.3784],
          ],
          device=torch_device,
      )
      self.assertTrue(
          torch.allclose(output[:, :3, :3], expected_slice, atol=1e-3)
      )
  
imports: import copy
  import tempfile
  import unittest
  import timeout_decorator
  from transformers import MvpConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the MvpModelIntegrationTests obj's underlying member method code with example usage: obj.test_inference_no_head() without return types