How to use KhaledReda/all-MiniLM-L6-v76-pair_score with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhaledReda/all-MiniLM-L6-v76-pair_score") sentences = [ "floor stand united ara", "easy stand-up paddle and kayak dual-action high-pressure easy pump 0-20 psi pump dualaction paddle easy pump paddle highpressure paddle kayak paddle", "hailey vegan leather blazer men blazer hailey blazer vegan blazer", "fattoush with eggplant appetizer lebanese fried rice balsamic vinegar pomegranate molasses sumac eggplant salad" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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