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:
- b060c09233aff2ac195fd41324598e080a8e9abca1d66a09506bab01394d355f
- Size of remote file:
- 1.59 GB
- SHA256:
- 5b14783587eb16be4dac27e2bc3b5d738ee1772b44cf48d0240edef88aaee6e9
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