code: def test_inference_no_head(self):
      model = TFOPTModel.from_pretrained("facebook/opt-350m")
      input_ids = _long_tensor(
          [[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]]
      )
      attention_mask = tf.not_equal(
          input_ids, model.config.pad_token_id
      )
      with tf.GradientTape():
          output = model(
              input_ids=input_ids, attention_mask=attention_mask
          ).last_hidden_state
      expected_shape = (1, 11, 512)
      self.assertEqual(output.shape, expected_shape)
      expected_slice = tf.constant(
          [
              [-0.2873, -1.9218, -0.3033],
              [-1.2710, -0.1338, -0.1902],
              [0.4095, 0.1214, -1.3121],
          ]
      )
      self.assertTrue(
          np.allclose(output[:, :3, :3], expected_slice, atol=4e-3)
      )
  
      xla_generate = tf.function(model, jit_compile=True)
      output = xla_generate(input_ids, attention_mask)[0]
      self.assertTrue(
          np.allclose(output[:, :3, :3], expected_slice, atol=4e-2)
      )
  
imports: import unittest
  import numpy
  from transformers import OPTConfig, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
label_desc: Use image node_id 1 for calling the OPTModelIntegrationTests obj's underlying member method code with example usage: obj.test_inference_no_head() without return types