input: Write a python function to predict sentiment of a given sentence using a pre-trained model.
  assert predict_sentiment("I love this product!") == "Positive sentiment"
  assert predict_sentiment("This is the worst experience ever.") == "Negative sentiment"
  assert predict_sentiment("It's okay, not great but not bad either.") == "Neutral sentiment"
output: def predict_sentiment(sentence):
      from transformers import pipeline
  
      classifier = pipeline('sentiment-analysis')
      result = classifier(sentence)[0]
  
      if result['label'] == 'POSITIVE':
          return "Positive sentiment"
      elif result['label'] == 'NEGATIVE':
          return "Negative sentiment"
      else:
          return "Neutral sentiment"