class_docstr: All the below results were obtained with the original checkpoints and code
  base from https://github.com/allenai/longformer.
  IMPORTANT: Note that the original checkpoints include a `postion_embeddings` "hack"
  and have to be cut to have the correct shape.
  See: https://github.com/huggingface/transformers/pull/9278#issue-544709661.
code: def test_inference_no_head(self):
      model = LEDModel.from_pretrained("allenai/led-base-16384").to(
          torch_device
      )
  
      # change to intended input
      input_ids = _long_tensor(
          [512 * [0, 31414, 232, 328, 740, 1140, 12695, 69]]
      )
      decoder_input_ids = _long_tensor(
          [128 * [0, 31414, 232, 328, 740, 1140, 12695, 69]]
      )
      inputs_dict = prepare_led_inputs_dict(
          model.config, input_ids, decoder_input_ids
      )
      with torch.no_grad():
          output = model(**inputs_dict).last_hidden_state
      expected_shape = torch.Size((1, 1024, 768))
      self.assertEqual(output.shape, expected_shape)
      # change to expected output here
      expected_slice = torch.tensor(
          [
              [2.3050, 2.8279, 0.6531],
              [-1.8457, -0.1455, -3.5661],
              [-1.0186, 0.4586, -2.2043],
          ],
          device=torch_device,
      )
      self.assertTrue(
          torch.allclose(
              output[:, :3, :3], expected_slice, atol=TOLERANCE
          )
      )
  
imports: import copy
  import tempfile
  import unittest
  from transformers import LEDConfig, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 2 for calling the LEDModelIntegrationTests obj's underlying member method code with example usage: obj.test_inference_no_head() without return types