code: def test_inference_no_head(self):
      model = NystromformerModel.from_pretrained(
          "uw-madison/nystromformer-512"
      )
      input_ids = torch.tensor([[0, 1, 2, 3, 4, 5]])
  
      with torch.no_grad():
          output = model(input_ids)[0]
  
      expected_shape = torch.Size((1, 6, 768))
      self.assertEqual(output.shape, expected_shape)
  
      expected_slice = torch.tensor(
          [
              [
                  [-0.4532, -0.0936, 0.5137],
                  [-0.2676, 0.0628, 0.6186],
                  [-0.3629, -0.1726, 0.4716],
              ]
          ]
      )
  
      self.assertTrue(
          torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4)
      )
  
imports: import unittest
  from transformers import AutoTokenizer, NystromformerConfig, 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, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the NystromformerModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types