How to use niting089/finetuned_arctic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("niting089/finetuned_arctic") sentences = [ "How does the Blueprint for an AI Bill of Rights aim to protect the rights of the American public?", "and use prohibitions. You and your communities should be free from unchecked surveillance; surveillance \ntechnologies should be subject to heightened oversight that includes at least pre-deployment assessment of their \npotential harms and scope limits to protect privacy and civil liberties. Continuous surveillance and monitoring", "steps to move these principles into practice and promote common approaches that allow technological \ninnovation to flourish while protecting people from harm. \n9", "ABOUT THIS FRAMEWORK\nThe Blueprint for an AI Bill of Rights is a set of five principles and associated practices to help guide the \ndesign, use, and deployment of automated systems to protect the rights of the American public in the age of \nartificial intel-ligence. Developed through extensive consultation with the American public, these principles are" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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