Text Classification
Transformers
Safetensors
GGUF
English
modernbert
security
vulnerability-management
aspm
ettin
Eval Results (legacy)
text-embeddings-inference
Instructions to use NilHRH/vulnerability-severity-clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NilHRH/vulnerability-severity-clf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NilHRH/vulnerability-severity-clf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NilHRH/vulnerability-severity-clf") model = AutoModelForSequenceClassification.from_pretrained("NilHRH/vulnerability-severity-clf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
13 days ago
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update quant-tradeoff.png: measured quant table + tradeoff chart
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update README.md: measured quant table + tradeoff chart
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custom-head checkpoint (2-layer, no GGUF equivalent)
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gguf1: canonical ModernBertForSequenceClassification + card
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weights: enc150 best.pt
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artefacts
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artefacts
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model card: test macro-F1 0.9836
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initial commit
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