How to use KhaledReda/all-MiniLM-L6-v31-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v31-pair_score") sentences = [ "pocket swim shorts", "HORUS EYE BYGONE NECKLACE |GOLD VERMEIL", "flour storage container", "beter nail files" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
