How to use KhaledReda/all-MiniLM-L6-v82-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v82-pair_score") sentences = [ "fabric odour freshener", "almond bonbon bonbon bonbon", "zuppa di pomodoro creamy tomato soup fresh tomato basil soup spices tomato soup creamy tomato soup tomato soup with fresh basil tomato soup creamy onions tomato soup tomato butter soup smooth and creamy tomato soup homemade soups soup delivery soups tomato soup homemade soups soup delivery soups tomato soup", "rump steak marinated rump steak grilled rump steak tender rump steak marinated rump rump rump steak marinated rump rump rump steak" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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