How to use kimnt93/test_cls with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kimnt93/test_cls") 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]
How to use kimnt93/test_cls with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("kimnt93/test_cls") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds)
How to fix it?
What is a pickle import?
