sentence-transformers How to use jimmydzj2006/snowflake-arctic-embed-xs_finetuned_aipolicy with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("jimmydzj2006/snowflake-arctic-embed-xs_finetuned_aipolicy")
sentences = [
"What steps can be taken to mitigate the risks associated with GAI systems?",
"Action ID: GV-4.3-003\nSuggested Action: Verify information sharing and feedback mechanisms among individuals and\norganizations regarding any negative impact from GAI systems.\nGAI Risks: Information Integrity; Data\nPrivacy",
"48. The definitions of 'equity' and 'underserved communities' can be found in the Definitions section of this framework as well as in Section 2 of The Executive Order On Advancing Racial Equity and Support [for Underserved Communities Through the Federal Government. https://www.whitehouse.gov/](https://www.whitehouse.gov) briefing-room/presidential-actions/2021/01/20/executive-order-advancing-racial-equity-and-support for-underserved-communities-through-the-federal-government/\n\n49. Id.",
"Action ID: GV-6.1-001\nSuggested Action: Categorize different types of GAI content with associated third-party rights (e.g.,\ncopyright, intellectual property, data privacy).\nGAI Risks: Data Privacy; Intellectual\nProperty; Value Chain and\nComponent Integration"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
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