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.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.txt
- Command line
-
hf download hf://TextCortex/clef-cybersecurity/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/requirements.txt
115 Bytes
| torch==2.9.1 | |
| transformers==5.17.0 | |
| tokenizers==0.23.2 | |
| safetensors==0.8.0 | |
| huggingface_hub==1.32.0 | |
| accelerate==1.15.0 | |