def METHOD_NAME(self, example_sentence, loaded_pretrained_model):
    loaded_pretrained_model.predict(example_sentence, return_probabilities_for_all_classes=True)
    for token in example_sentence:
        assert len(token.get_tags_proba_dist(loaded_pretrained_model.label_type)) == len(
            loaded_pretrained_model.label_dictionary
        )
        score_sum = 0.0
        for label in token.get_tags_proba_dist(loaded_pretrained_model.label_type):
            assert label.data_point == token
            score_sum += label.score
        assert abs(score_sum - 1.0) < 1.0e-5