sentence-transformers How to use gmedrano/snowflake-arctic-embed-m-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("gmedrano/snowflake-arctic-embed-m-finetuned")
sentences = [
"What role does NIST play in establishing AI standards?",
"provides examples and concrete steps for communities, industry, governments, and others to take in order to \nbuild these protections into policy, practice, or the technological design process. \nTaken together, the technical protections and practices laid out in the Blueprint for an AI Bill of Rights can help \nguard the American public against many of the potential and actual harms identified by researchers, technolo",
"provides examples and concrete steps for communities, industry, governments, and others to take in order to \nbuild these protections into policy, practice, or the technological design process. \nTaken together, the technical protections and practices laid out in the Blueprint for an AI Bill of Rights can help \nguard the American public against many of the potential and actual harms identified by researchers, technolo",
"Acknowledgments: This report was accomplished with the many helpful comments and contributions \nfrom the community, including the NIST Generative AI Public Working Group, and NIST staff and guest \nresearchers: Chloe Autio, Jesse Dunietz, Patrick Hall, Shomik Jain, Kamie Roberts, Reva Schwartz, Martin \nStanley, and Elham Tabassi. \nNIST Technical Series Policies \nCopyright, Use, and Licensing Statements \nNIST Technical Series Publication Identifier Syntax \nPublication History"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
