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 adapter.safetensors from TextCortex/clef-cybersecurity: direct link, hf CLI and curl.
- Browser
- Download file 2.2 GB
-
https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/adapter.safetensors
- Command line
-
hf download hf://TextCortex/clef-cybersecurity/adapter.safetensors
-
curl -L -o adapter.safetensors https://huggingface.co/TextCortex/clef-cybersecurity/resolve/main/adapter.safetensors
2.2 GB
- Xet hash:
- 36ae865a836bd80f1bc101a5be7e9b6978ade496e96e60d21702fba646cb01b1
- Size of remote file:
- 2.2 GB
- SHA256:
- 6e4b7e9578a98d87e3ce60e243bd1428c91ec4fe4a4d0802e7fca9ea7a5d8ed2
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