code: def test_predict_zero_shot(self, loaded_pretrained_model):
      sentence = Sentence("George Washington was born in Washington")
      loaded_pretrained_model.predict_zero_shot(
          sentence, ["location", "person"]
      )
      assert len(sentence.get_labels("location-person")) == 2
      assert sorted(
          [
              label.value
              for label in sentence.get_labels("location-person")
          ]
      ) == [
          "location",
          "person",
      ]
  
file_path: flair/tests/models/test_tars_ner.py
imports: import pytest
  import flair
  from flair.data import Sentence
  from flair.embeddings import TransformerWordEmbeddings
  from flair.models import TARSTagger
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 6 for calling the TestTarsTagger obj's underlying member method code with example usage: obj.test_predict_zero_shot(loaded_pretrained_model) without return types