How to use KhaledReda/all-MiniLM-L6-v78-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v78-pair_score") sentences = [ "bubbles - multicolored loofah -", "rechargeable head torch - 100 lumen - bivouac 500 usb portable lighting usb head torch pocketsized head torch usb rechargeable head torch rechargeable torch", "baby safety corner protector table desk edge corner and edge safety baby safety bar furniture corner protector desk corner guard safety edge guard table corner cushion table edge protector", "gravastar venus bluetooth speaker - aurora green speaker aurora speaker gravastar speaker venus speaker" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
