code: def _get_hidden_states(self):
      return torch.tensor(
          [
              [
                  [
                      4.98332758e-01,
                      2.69175139e00,
                      -7.08081422e-03,
                      1.04915401e00,
                      -1.83476661e00,
                      7.67220476e-01,
                      2.98580543e-01,
                      2.84803992e-02,
                  ],
                  [
                      -7.58357372e-01,
                      4.20635998e-01,
                      -4.04739919e-02,
                      1.59924145e-01,
                      2.05135748e00,
                      -1.15997978e00,
                      5.37166397e-01,
                      2.62873606e-01,
                  ],
                  [
                      -1.69438001e00,
                      4.17574660e-01,
                      -1.49196962e00,
                      -1.76483717e00,
                      -1.94566312e-01,
                      -1.71183858e00,
                      7.72903565e-01,
                      -1.11557056e00,
                  ],
                  [
                      5.44028163e-01,
                      2.05466114e-01,
                      -3.63045868e-01,
                      2.41865062e-01,
                      3.20348382e-01,
                      -9.05611176e-01,
                      -1.92690727e-01,
                      -1.19917547e00,
                  ],
              ]
          ],
          dtype=torch.float32,
          device=torch_device,
      )
  
imports: import unittest
  from transformers import LongformerConfig, 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, random_attention_mask
label_desc: Use image node_id 1 for calling the LongformerModelIntegrationTest obj's underlying member method code with example usage: obj._get_hidden_states() and returns: torch