How to use AryehRotberg/ToS-Sentence-Transformers with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AryehRotberg/ToS-Sentence-Transformers") sentences = [ "Third-party payment providers, such as Stripe, Checkout. Coingate and similar they help us to process payments together with our own authorized payment processing companiesUnited States, Ireland, BVIStorage and infrastructure service providers, such as BigQuery (by Google), Stitch (by Talend)they help us to deliver targeted advertising to the Website visitors United StatesLive chat and support service providers, such as Zendesk we use them to provide live chat technology and provide support to our users United StatesSecurity service providers, such as Cloudflare we work with them to provide improved security and performance United StatesAttorneys, notaries, bailiffs we transfer personal information in cases when we seek to defend our rights and legal interests", "Many third parties are involved in operating the service", "Only aggregate data is given to third parties", "You should revisit the terms periodically, although in case of material changes, the service will notify" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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