sentence-transformers How to use Mashiat/ats-mpnet-model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Mashiat/ats-mpnet-model")
sentences = [
"Information security. Offensive security. Pentesting. Ethical hacking. DevSecOps. GRC. Vulnerability management. Risk management. Security leadership. Network security. Metasploit. Burp Suite. Frida. Objection. Python. Nessus. Tenable. SonarQube. ZAP. Snyk. Trivy. GitHub Actions. Microsoft SQL Server. C#. ASP.NET Core. Entity Framework. Active Directory. DNS. DHCP. GPO. Python. C#. JavaScript. SQL. HTML. CSS. Pentest and Vulnerability Assessments. Performed web, mobile and infrastructure penetration testing and vulnerability assessments using security tools and Python scripts.. DevSecOps Pipeline Integration. Integrated security tools into SDLC and CI/CD pipelines to support secure-by-design software delivery.. Security Training and Mentorship. Founded and led cybersecurity training initiatives for students and career changers through mentorship and instruction.. Information Security Coordinator - ISC. Coordinates information security activities at Capgemini, aligning security with business goals and presenting risk metrics to executives (Sep 2022 - Present).. Information Security Consultant. Performed pentesting, vulnerability assessments, phishing/vishing campaigns and Tenable-based vulnerability management at ISH Tecnologia (Oct 2021 - Sep 2022).. Information Security Specialist - Ethical Hacker Pentest at Wipro. Conducted penetration tests for web, mobile and technology assets and produced technical documentation at Banco do Nordeste do Brasil S.A (Oct 2018 - Sep 2021).",
"Game Developer\n\n Requirements:\n Unity, Unreal Engine,\n C++, C#,\n Game Programming,\n 3D Graphics,\n Game Physics,\n Animation Systems,\n Game Design.",
"Cybersecurity Engineer\n\n Requirements:\n Network Security, Ethical Hacking,\n Penetration Testing,\n Vulnerability Assessment,\n Python, Linux, Wireshark,\n Nmap, SIEM,\n Incident Response,\n Digital Forensics.",
"UI UX Designer\n\n Requirements:\n User Interface Design,\n User Experience Design,\n Wireframing,\n Prototyping,\n Figma,\n Adobe XD,\n Design Systems,\n User Research,\n Usability Testing."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
