How to use AryehRotberg/ToS-Sentence-Transformers-V4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AryehRotberg/ToS-Sentence-Transformers-V4") sentences = [ "\"To update your preferences, ask us to remove your information from our marketing mailing lists or submit a request, please contact us as outlined in the How To Contact Us Section below.\"", "You can opt out of promotional communications", "IP addresses of website visitors are not tracked", "If you are the target of a copyright holder's take down notice, this service gives you the opportunity to defend yourself" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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