Instructions to use CyberPeace-Institute/Cybersecurity-Knowledge-Graph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CyberPeace-Institute/Cybersecurity-Knowledge-Graph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CyberPeace-Institute/Cybersecurity-Knowledge-Graph", trust_remote_code=True)# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("CyberPeace-Institute/Cybersecurity-Knowledge-Graph", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c5d4fe6167ac60ea9d808daa6e2f3ff37d1038237c45a8000cddb6511d207c7
- Size of remote file:
- 499 MB
- SHA256:
- 2ad63eeee95888dc6f22e94e0a8425a99912f7d727cd255881e8630218a3b7f0
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