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
Commit ·
816e104
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Parent(s): 7826a12
Upload model
Browse files- model.py +1 -1
- pytorch_model.bin +3 -0
model.py
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self.event_argument_model = ArgumentModel(num_classes = 43)
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self.event_realis_model = RealisModel(num_classes_realis = 4)
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self.role_classifiers =
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self.embed_model = SentenceTransformer('all-MiniLM-L6-v2')
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self.event_argument_model = ArgumentModel(num_classes = 43)
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self.event_realis_model = RealisModel(num_classes_realis = 4)
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self.role_classifiers = {}
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self.embed_model = SentenceTransformer('all-MiniLM-L6-v2')
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b14783587eb16be4dac27e2bc3b5d738ee1772b44cf48d0240edef88aaee6e9
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size 1587052173
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