How to use KhaledReda/all-MiniLM-L6-v81-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v81-pair_score") sentences = [ "lip care set", "kibbeh fried fried kibbeh appetizer kibbeh appetizer appetizer kibbeh kibbeh", "beef shawarma roll keto low carb shawarma diabetic friendly shawarma gluten free shawarma almond flour shawarma coconut flour shawarma himalaiyan salt shawarma beef fillet shawarma beef shawarma keto keto shawarma roll shawarma shawarma beef shawarma keto keto shawarma roll shawarma shawarma", "fresh squid grilled squid fried squid fresh squid squid calamari fresh calamari fresh squid squid calamari fresh calamari" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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