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:
- 061ab598063d0beb83dae2b4ca24a48d00b8a1ad301cc3324a1309815f93b10e
- Size of remote file:
- 499 MB
- SHA256:
- 09bc24b422adbe6c4c6ca1333a3a8c33146e6152e00a7ad6376cab616b51e53f
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