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]
