How to use fede-m/FGSDI_final_setfit_fold_0 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fede-m/FGSDI_final_setfit_fold_0") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds)
How to use fede-m/FGSDI_final_setfit_fold_0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fede-m/FGSDI_final_setfit_fold_0") 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]
https://huggingface.co/fede-m/FGSDI_final_setfit_fold_0/resolve/main/vocab.txt
hf download hf://fede-m/FGSDI_final_setfit_fold_0/vocab.txt
curl -L -o vocab.txt https://huggingface.co/fede-m/FGSDI_final_setfit_fold_0/resolve/main/vocab.txt
