franckidda/my-sentiment-classifier

Mon modèle

Description du modèle. model : distilbert-base-uncased-finetuned-sst-2-english labels : POSITIVE, NEGATIVE Example usage:

from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("my-username/my-model")
tokenizer = AutoTokenizer.from_pretrained("my-username/my-model")
inputs = tokenizer("I love this movie!", return_tensors="pt")
outputs = model(**inputs)