code: def test_inference_no_head(self):
      model = TFBartForConditionalGeneration.from_pretrained(
          "facebook/bart-large"
      ).model
  
      input_ids = _long_tensor(
          [[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]]
      )
      attention_mask = tf.cast(
          tf.math.not_equal(input_ids, model.config.pad_token_id),
          tf.int8,
      )
      output = model(
          input_ids=input_ids, attention_mask=attention_mask
      )[0]
      expected_shape = (1, 11, 1024)
      self.assertEqual(output.shape, expected_shape)
      expected_slice = tf.convert_to_tensor(
          [
              [0.7144, 0.8143, -1.2813],
              [0.7144, 0.8143, -1.2813],
              [-0.0467, 2.5911, -2.1845],
          ],
      )
      tf.debugging.assert_near(
          output[:, :3, :3], expected_slice, atol=1e-3
      )
  
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 TFBartModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types