bhadresh-savani:

from transformers import pipeline
classifier = pipeline("text-classification",model='bhadresh-savani/distilbert-base-uncased-emotion', return_all_scores=True)
prediction = classifier("I love using transformers. The best part is wide range of support and its easy to use", )
print(prediction)



Thanks for the answer that is great, so can this also be used for multiclassification (if it is both for example joy and love?) i.e. 60% joy, and 70% love and 20% anger etc…if not, do you know what model I can use for this?