How to use KhaledReda/all-MiniLM-L6-v83-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v83-pair_score") sentences = [ "chocolate marble cakes donuts", "market shopping market plastic toy multicolor toy boys toys kids toys unisex toys girls toys market shopping market toy toy market shopping market toy toy", "khan spring citrus juicer handcrafted pottery juicer pottery citrus juicer oven safe juicer microwave safe citrus juicer dishwasher safe citrus juicer khan milk container citrus juicer khan citrus juicer spring citrus juicer citrus juicer khan citrus juicer spring citrus juicer", "glade air freshner lavender 300m air freshener glade glade air freshener air freshener glade glade air freshener" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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