sentence-transformers How to use eric920609/20-multilingual-e5-large_fold_1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("eric920609/20-multilingual-e5-large_fold_1")
sentences = [
"query: MSI 微星 MSI PRO MP165 E6 可攜式螢幕 (16型/FHD/Type C/喇叭/IPS)+SPACE LED觸控護眼三色螢幕掛燈 33cm款",
"passage: 六合一清潔組【Apple】AirPods 4",
"passage: 【MSI 微星】PRO MP251 E2 25型 平面商用螢幕(FHD/IPS/120Hz/DP+HDMI+D-Sub/眼部護理技術)",
"passage: 【Apple】Apple Watch Series 11 GPS+行動網路 42mm(鋁金屬錶殼搭配運動型錶帶)"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
