sentence-transformers How to use kiel2/Kiel-2-Optic with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("kiel2/Kiel-2-Optic")
sentences = [
"On Oct. 10 , an 18-year-old freshman member of the men 's swim team jumped from the same 10th-floor ledge .",
"\" It 's a blond-haired woman wearing a Cartier watch on her wrist , \" the source said .",
"He was sentenced to more than seven years in prison after pleading guilty to charges including securities fraud .",
"On Oct. 10 , an 18-year-old freshman from Dayton , Ohio , climbed over the same 10th-floor ledge and plunged to his death ."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
