Text Classification
Transformers
Safetensors
English
German
cybersecurity
prompt-injection
data-exfiltration
clef
custom-code
Eval Results (legacy)
Instructions to use TextCortex/clef-cybersecurity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TextCortex/clef-cybersecurity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TextCortex/clef-cybersecurity")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TextCortex/clef-cybersecurity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download assets/benchmark-auroc.svg from TextCortex/clef-cybersecurity: direct link, hf CLI and curl.
- Browser
- Download file 81.4 kB
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https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/assets/benchmark-auroc.svg
- Command line
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hf download hf://TextCortex/clef-cybersecurity/assets/benchmark-auroc.svg
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curl -L -o benchmark-auroc.svg https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/assets/benchmark-auroc.svg
81.4 kB