How to use aadiausa/Set_Fit_Ausa with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("aadiausa/Set_Fit_Ausa") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds)
How to use aadiausa/Set_Fit_Ausa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aadiausa/Set_Fit_Ausa") 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/aadiausa/Set_Fit_Ausa/resolve/main/2_Normalize/.gitkeep
hf download hf://aadiausa/Set_Fit_Ausa/2_Normalize/.gitkeep
curl -L -o .gitkeep https://huggingface.co/aadiausa/Set_Fit_Ausa/resolve/main/2_Normalize/.gitkeep
