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File size: 314 Bytes
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def predict_tweet(tweet, pipeline):
label = pipeline(tweet)[0]['label']
if label == 'LABEL_0':
return 0
else:
return 1
def get_predictions(tweets, pipeline):
predictions = []
for tweet in tweets:
predictions.append(predict_tweet(tweet, pipeline))
return predictions |