How to use juanmcristobal/e5-small-v2-mitre with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("juanmcristobal/e5-small-v2-mitre") sentences = [ "deployment of ValleyRAT alongside additional payloads including keyloggers and cryptocurrency miners that establish persistent access", "Adversaries rifle through virtual machine files and host configs seeking content to exfiltrate.", "Credential interception happens via keyloggers that record keystrokes, often running unnoticed for extended periods.", "Cyber adversaries weaponize existing account credentials to silently infiltrate, persist, and elevate privileges across enterprise systems." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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