class_docstr: These tests are useful for debugging since they operate on a model with 1 encoder layer and 1 decoder layer.
class_docstr_tok: ["These","tests","are","useful","for","debugging","since","they","operate","on","a","model","with","1","encoder","layer","and","1","decoder","layer","."]
code: def tok(self):
      return BartTokenizer.from_pretrained("facebook/bart-large")
  
imports: from __future__ import annotations
  import copy
  import tempfile
  import unittest
  import numpy
  from transformers import BartConfig, BartTokenizer, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 1 for calling the FasterTFBartModelIntegrationTests obj's underlying member method code with example usage: obj.tok() and returns: BartTokenizer