sentence-transformers How to use ValentinaKim/Multilingual-base-soil-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ValentinaKim/Multilingual-base-soil-embedding")
sentences = [
"MVGO; medium vacuum\ngas oil",
"과분해",
"Medium Vacuum Gas Oil(MVGO) ;",
"선적 전 또는 양하 후에 화물창에 잔존하는 소량의 액체화물 양을 결정하는 수학\n적인 계산 수식"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
