sentence-transformers How to use deman539/nomic-embed-text-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("deman539/nomic-embed-text-v1", trust_remote_code=True)
sentences = [
"What types of applications may require confidentiality during their launch?",
"Taken 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\ngists, advocates, journalists, policymakers, and communities in the United States and around the world. This \ntechnical companion is intended to be used as a reference by people across many circumstances – anyone",
"deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. \nAction ID \nSuggested Action \nGAI Risks \nMG-2.4-001 \nEstablish and maintain communication plans to inform AI stakeholders as part of \nthe deactivation or disengagement process of a specific GAI system (including for \nopen-source models) or context of use, including reasons, workarounds, user \naccess removal, alternative processes, contact information, etc. \nHuman-AI Configuration",
"launch may need to be confidential. Government applications, particularly law enforcement applications or \napplications that raise national security considerations, may require confidential or limited engagement based \non system sensitivities and preexisting oversight laws and structures. Concerns raised in this consultation \nshould be documented, and the automated system developers were proposing to create, use, or deploy should \nbe reconsidered based on this feedback."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
