code: def test_sst2_model_predict(self, config: dict[str, bool]):
      # Configure model.
      if config:
          self.sst2_model.config = glue_models.GlueModelConfig(
              # Include the SST-2 defaut config options
              text_a_name="sentence",
              text_b_name=None,
              labels=["0", "1"],
              null_label_idx=0,
              # Add the output-affecting config options
              **config,
          )
  
      # Run prediction to ensure no failure.
      model_in = [{"sentence": "test sentence"}]
      model_out = list(self.sst2_model.predict(model_in))
  
      # Sanity-check output vs output spec.
      self.assertLen(model_out, 1)
      for key in self.sst2_model.output_spec().keys():
          self.assertIn(key, model_out[0])
  
file_path: lit/lit_nlp/examples/models/glue_models_int_test.py
imports: from typing import Any
  from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.examples.models import glue_models
  from lit_nlp.lib import file_cache
label_desc: Use image node_id 2 for calling the GlueModelsIntTest obj's underlying member method code with example usage: obj.test_sst2_model_predict(config) without return types