How to use NLBSE/nlbse26_java with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("NLBSE/nlbse26_java") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds)
How to use NLBSE/nlbse26_java with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NLBSE/nlbse26_java") 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/NLBSE/nlbse26_java/resolve/main/config_setfit.json
hf download hf://NLBSE/nlbse26_java/config_setfit.json
curl -L -o config_setfit.json https://huggingface.co/NLBSE/nlbse26_java/resolve/main/config_setfit.json
