code: def test_inference_no_head(self):
      model = TFDebertaModel.from_pretrained("kamalkraj/deberta-base")
      input_ids = tf.constant(
          [[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]]
      )
      attention_mask = tf.constant([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
      output = model(input_ids, attention_mask=attention_mask)[0]
  
      expected_slice = tf.constant(
          [
              [
                  [-0.59855896, -0.80552566, -0.8462135],
                  [1.4484025, -0.93483794, -0.80593085],
                  [0.3122741, 0.00316059, -1.4131377],
              ]
          ]
      )
      tf.debugging.assert_near(
          output[:, 1:4, 1:4], expected_slice, atol=1e-4
      )
  
imports: import unittest
  from transformers import DebertaConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 2 for calling the TFDeBERTaModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types