How to use KhaledReda/all-MiniLM-L6-v39-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v39-pair_score") sentences = [ "keto bar chocolate", "summer oversize shirt - green, basic shirt oversize shirt shirt summer shirt, oversize shirt shirt summer shirt, gender women u modest generic shirt features basic types of fashion styles casual fit oversized green season summer", "le bite - keto bar chocolate - 60 gr, chocolate keto bar chocolate le bite le bite chocolate le bite keto bar chocolate", "table runner, recyclable table runner home decor runner table runner, runner table runner, mymayz generic runner 110 cm rectangular table decoration features recyclable eco friendly beige, size 110 cm care ready to use can be washed with water and liquid soup all our products are sustainable recyclable and eco-friendly" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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