sentence-transformers How to use Technocoloredgeek/midterm-finetuned-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Technocoloredgeek/midterm-finetuned-embedding")
sentences = [
"How do the models ensure the production of valid, reliable, and factually accurate outputs while assessing risks associated with content provenance and offensive cyber activities?",
"Information or Capabilities \nMS-1.1-0 05 Evaluate novel methods and technologies for the measurement of GAI-related \nrisks in cluding in content provenance , offensive cy ber, and CBRN , while \nmaintaining the models’ ability to produce valid, reliable, and factually accurate outputs. Information Integrity ; CBRN \nInformation or Capabilities ; \nObscene, Degrading, and/or Abusive Content",
"Testing. Systems should undergo extensive testing before deployment. This testing should follow domain-specific best practices, when available, for ensuring the technology will work in its real-world context. Such testing should take into account both the specific technology used and the roles of any human operators or reviewers who impact system outcomes or effectiveness; testing should include both automated systems testing and human-led (manual) testing. Testing conditions should mirror as",
"oping technologies related to a sensitive domain and those collecting, using, storing, or sharing sensitive data \nshould, whenever appropriate, regularly provide public reports describing: any data security lapses or breaches \nthat resulted in sensitive data leaks; the numbe r, type, and outcomes of ethical pre-reviews undertaken; a \ndescription of any data sold, shared, or made public, and how that data was assessed to determine it did not pres-"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
