code: def test_inference_no_head(self):
      model = TFLongformerModel.from_pretrained(
          "allenai/longformer-base-4096"
      )
  
      # 'Hello world!'
      input_ids = tf.convert_to_tensor(
          [[0, 20920, 232, 328, 1437, 2]], dtype=tf.int64
      )
      attention_mask = tf.ones(shape_list(input_ids), dtype=tf.int64)
  
      output = model(input_ids, attention_mask=attention_mask)[0]
      output_without_mask = model(input_ids)[0]
  
      expected_output_slice = tf.convert_to_tensor(
          [0.0549, 0.1087, -0.1119, -0.0368, 0.0250], dtype=tf.float32
      )
  
      tf.debugging.assert_near(
          output[0, 0, -5:], expected_output_slice, rtol=1e-3, atol=1e-4
      )
      tf.debugging.assert_near(
          output_without_mask[0, 0, -5:],
          expected_output_slice,
          rtol=1e-3,
          atol=1e-4,
      )
  
imports: import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 9 for calling the TFLongformerModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types