code: def example_4_1():
      happy_wp = (
          HappyWordPrediction()
      )  # default uses distilbert-base-uncased
      result = happy_wp.predict_mask("I think therefore I [MASK]")
      print(type(result))  # <class 'list'>
      print(
          result
      )  # [WordPredictionResult(token='am', score=0.10172799974679947)]
      print(
          type(result[0])
      )  # <class 'happytransformer.happy_word_prediction.WordPredictionResult'>
      print(
          result[0]
      )  # [WordPredictionResult(token='am', score=0.10172799974679947)]
      print(result[0].token)  # am
      print(result[0].score)
  
imports: from happytransformer import HappyWordPrediction, WPTrainArgs, WPEvalArgs
label_desc: Use image node_id 2 for calling a global function with example usage: example_4_1() without return types