How to use sirabhop/mart-multilingual-semantic-search-miniLM-L12 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sirabhop/mart-multilingual-semantic-search-miniLM-L12") sentences = [ "ตะกร้าแมว", "ตะกร้าหูหิ้วมีฝาปิดล็อคได้ ตะกร้าแมวเล็ก 15x23 ซม.", "พูกันกลม ตราม้า No.10", "101259 - ปลั๊กแปลง 2 ขาแบน TOSHINO CO-6S ขาว" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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