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