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1from transformers import pipeline
2
3# 파이프라인 생성
4classifier = pipeline("sentiment-analysis", model="aiegoo/pytorch-book")
5
6# 감성 분석 수행
7result = classifier("This movie is amazing!")
8print(result)
9# [{'label': 'POSITIVE', 'score': 0.9998}]1from transformers import AutoTokenizer, AutoModelForSequenceClassification
2
3tokenizer = AutoTokenizer.from_pretrained("aiegoo/pytorch-book")
4model = AutoModelForSequenceClassification.from_pretrained("aiegoo/pytorch-book")
5
6# 토큰화 및 예측
7inputs = tokenizer("I love this movie!", return_tensors="pt")
8outputs = model(**inputs)distilbert-base-uncased-finetuned-sst-2-english