How to use AryehRotberg/ToS-Sentence-Transformers-V3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AryehRotberg/ToS-Sentence-Transformers-V3") sentences = [ "We operate globally and may transfer your personal information", "Content you post may be edited by the service for any reason", "You can retrieve an archive of your data", "Your data may be processed and stored anywhere in the world" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
