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from transformers import pipeline
def classify(tweet, event_model, hftoken):
# event type prediction
event_predictor = pipeline(task="text-classification", model=event_model,
batch_size=512, token=hftoken)
tokenizer_kwargs = {'padding': True, 'truncation': True, 'max_length': 512}
results = {"text": None, "event": None, "score": None}
prediction = event_predictor(tweet, **tokenizer_kwargs)[0]
results["text"] = tweet
results["event"] = prediction["label"]
results["score"] = prediction["score"]
return results |