NLP, Large Language Models.
winter"), followed by new approaches, success, and renewed funding.''' task = pipeline(task="text-classification", model=model_name) task(text1) [{'label': 'neutral', 'score': 0.8950573205947876}] task(text2) [{'label': 'disappointment', 'score': 0.7222175002098083}] The final classification