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.
class_docstr_tok: ["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 default_tokenizer(self):
      return LEDTokenizer.from_pretrained("allenai/led-base-16384")
  
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, 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, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the LEDModelIntegrationTests obj's underlying member method code with example usage: obj.default_tokenizer() and returns: LEDTokenizer