How to use JulioCesarRiveraSoto/text_sentiment_banking_model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JulioCesarRiveraSoto/text_sentiment_banking_model")
How to use JulioCesarRiveraSoto/text_sentiment_banking_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JulioCesarRiveraSoto/text_sentiment_banking_model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
