content: import numpy as np
  
  from whatlies.language import TFHubLanguage, UniversalSentenceLanguage
  
  
  def test_same_results():
      use_lang = UniversalSentenceLanguage("multi", 3)
      tf_lang = TFHubLanguage(
          "https://tfhub.dev/google/universal-sentence-encoder-multilingual/3"
      )
      assert np.allclose(use_lang["hello world"].vector, tf_lang["hello world"].vector)
  