How to use surazbhandari/all-MiniLM-L6-v2-ProductMatching with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("surazbhandari/all-MiniLM-L6-v2-ProductMatching") sentences = [ "Steelcase | Monitor Stand | Blank | Mesh", "Steelcase Monitor Stand w/ Blue, Portable", "BIC Printer Heavy Duty/All-in-One", "title_title" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
Can you share the dataset ? Or more precise describe the data, how you generate the candidates, negatives, etc
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