How to use autumn10/sec-embedding-smoke with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("autumn10/sec-embedding-smoke") sentences = [ "CVE-2025-68755 có được tích hợp vào danh sách kiểm tra bảo mật của các tổ chức?", "CVE ID: CVE-2011-2794 | Google Chrome before 13.0.782.107 does not properly perform text iteration, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors. | Published: 2011-08-03 | CVSS v2: 6.8 | AV:N/AC:M/Au:N/C:P/I:P/A:P", "CVE ID: CVE-2025-68755 | In the Linux kernel, the following vulnerability has been resolved: | Published: 2026-01-05", "CVE ID: CVE-2014-8242 | librsync before 1.0.0 uses a truncated MD4 checksum to match blocks, which makes it easier for remote attackers to modify transmitted data via a birthday attack. | Published: 2015-10-26 | CVSS v2: 5.8 | AV:N/AC:M/Au:N/C:N/I:P/A:P" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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