def METHOD_NAME(self, results_base_path, corpus, example_sentence):
    tag_dictionary = corpus.make_label_dictionary("ner", add_unk=False)
    model = self.build_model(FlairEmbeddings("news-forward-fast"), tag_dictionary)
    trainer = ModelTrainer(model, corpus)
    trainer.train(results_base_path, shuffle=False, **self.training_args)
    del trainer, model, tag_dictionary, corpus
    loaded_model = self.model_cls.load(results_base_path / "final-model.pt")
    loaded_model.predict(example_sentence)
    loaded_model.predict([example_sentence, self.empty_sentence])
    loaded_model.predict([self.empty_sentence])
    del loaded_model