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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f9782c974c3bc1c6df60af0b478b48699a035b03c86b032e60fb9a4ab679955
- Size of remote file:
- 499 MB
- SHA256:
- 8d04c7ccd654b3af96c1c8e0f391a20d79ae1b5970d5419680f379c6a09e78bf
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