How to use leochuang/multilingual-e5-large-custom with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leochuang/multilingual-e5-large-custom") sentences = [ "query: ACER 宏碁 SA243Y G0B 護眼螢幕(24型/FHD/120Hz/1ms/IPS)", "passage: 【尚朋堂】專業型電烤箱SO-459I", "passage: 【Acer 宏碁】KA242Y G0 24型護眼螢幕(23.8吋/FHD/120Hz/1ms/IPS/喇叭)", "passage: 台灣出貨 瑜珈墊 瑜伽墊(加厚20mm 贈送收納袋+綁帶 健身墊 SGS檢測瑜珈墊 NBR環保瑜珈墊 運動墊 15mm)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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