How to use Remonatef/all-MiniLM-L6-v17-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Remonatef/all-MiniLM-L6-v17-pair_score") sentences = [ "unpaid therapist with a built in lie detector mug", "dream and goal sticky notes", "mini croissant", "frozen peanut butter cookies" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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