code: def test_predictions_to_labeled_instances(self):
      inputs = {
          "sentence": "It was the ending that I hated. I was disappointed that it was so bad."
      }
  
      archive = load_archive(
          self.FIXTURES_ROOT
          / "basic_classifier"
          / "serialization"
          / "model.tar.gz"
      )
      predictor = Predictor.from_archive(archive, "text_classifier")
  
      instance = predictor._json_to_instance(inputs)
      predictor._dataset_reader.apply_token_indexers(instance)
      outputs = predictor._model.forward_on_instance(instance)
      new_instances = predictor.predictions_to_labeled_instances(
          instance, outputs
      )
      assert "label" in new_instances[0].fields
      assert new_instances[0].fields["label"] is not None
      assert len(new_instances) == 1
  
file_path: allennlp/tests/predictors/text_classifier_test.py
imports: import math
  from pytest import approx
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.models.archival import load_archive
  from allennlp.predictors import Predictor
label_desc: Use image node_id 3 for calling the TestTextClassifierPredictor obj's underlying member method code with example usage: obj.test_predictions_to_labeled_instances() without return types