How to use KhaledReda/all-MiniLM-L6-v73-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v73-pair_score") sentences = [ "hair food wax", "french fries sandwich sesame paste potatoes sandwich potatoes tomatoes pepper sesame paste.", "table tennis table - ppt 130 medium indoor.2 wooden tennis table this compact table tennis table is designed for indoor play in restricted spaces from 10 m². play then forget about it when it s stored away play table tennis with two or four players in a small space the wooden table top of the ppt130 medium indoor gives it a superb playing quality for your indoor games.", "cook s - iodized table salt - 700 gr cooks salt iodized salt cooks - iodized table malh - 700 gr cooks malh iodized malh table malh" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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