sentence-transformers How to use kiel2/Kiel-2-Index with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("kiel2/Kiel-2-Index")
sentences = [
"The total number of new cases in China was fewer than 100 for the third day in a row .",
"The American Anglican Council , which represents Episcopalian conservatives , said it will seek authorization to create a separate group in North America .",
"On Monday , the number of SARS cases in China passed 5,000 , hitting a total of 5,013 .",
"Grant , a 22-year Monsanto veteran , also has been elected to the company 's board of directors , Monsanto said in a statement ."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
