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 requirements-b200.txt from TextCortex/clef-cybersecurity: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/requirements-b200.txt
- Command line
-
hf download hf://TextCortex/clef-cybersecurity/requirements-b200.txt
-
curl -L -o requirements-b200.txt https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/requirements-b200.txt
115 Bytes
| -r requirements.txt | |
| flash-linear-attention==0.5.2 | |
| fla-core==0.5.2 | |
| causal-conv1d==1.7.0 | |
| einops==0.8.2 | |
| ninja==1.13.0 | |