code: def test_t5_predict(self):
      # Run prediction to ensure no failure.
      model_path = "https://storage.googleapis.com/what-if-tool-resources/lit-models/t5-small.tar.gz"
      model = t5.T5HFModel(
          model_path,
          num_to_generate=1,
          token_top_k=1,
          output_attention=False,
      )
      model_in = [{"input_text": "test text"}]
      model_out = list(model.predict(model_in))
  
      # Sanity-check output vs output spec.
      self.assertLen(model_out, 1)
      for key in model.output_spec().keys():
          self.assertIn(key, model_out[0].keys())
  
imports: from absl.testing import absltest
  from lit_nlp.examples.models import t5
label_desc: Use image node_id 1 for calling the T5IntTest obj's underlying member method code with example usage: obj.test_t5_predict() without return types