sentence-transformers How to use tomaarsen/distilbert-base-uncased-wikipedia-sections-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("tomaarsen/distilbert-base-uncased-wikipedia-sections-triplet")
sentences = [
"All charts rank the top 100.",
"There are two primary charts: Gaon Album Chart and Gaon Digital Chart.",
"Regional Preferente de Cataluña (3): 1999-00, 2002-03, 2008-09.",
"Kyūsaku was born in Fukuoka city, Fukuoka prefecture as Sugiyama Naoki."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
