How to use KhaledReda/all-MiniLM-L6-v72-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v72-pair_score") sentences = [ "spirit of gamer controller", "sahara leggings elastic waist band leggings sahara stretch pants leggings made of the softest 100 organic egyptian cotton with elastic band by the waist to provide the best comfort for your baby.", "zucchini seeds corgette seeds", "wet brush princess mini/wbwr832cindg wet brush princess hair brush" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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