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
Download release_manifest.json from TextCortex/clef-cybersecurity: direct link, hf CLI and curl.
- Browser
- Download file 2.52 kB
-
https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/release_manifest.json
- Command line
-
hf download hf://TextCortex/clef-cybersecurity/release_manifest.json
-
curl -L -o release_manifest.json https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/release_manifest.json
2.52 kB
| { | |
| "type": "clef_cybersecurity_release", | |
| "repo_id": "TextCortex/clef-cybersecurity", | |
| "base_model": "Cloudflare/clef-flash", | |
| "base_revision": "17f0b0ad64efb65d273590632833508766b2aae6", | |
| "selected_epoch": 3, | |
| "epochs_trained": 4, | |
| "trained_parameters": 549897924, | |
| "total_parameters": 9531576564, | |
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