Text Classification
Laya
ONNX
Safetensors
English
German
prompt-injection
data-exfiltration
llm-security
agent-security
system-one
multilingual
Instructions to use TextCortex/laya-cybersec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use TextCortex/laya-cybersec with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download charts/r2a-auroc.png from TextCortex/laya-cybersec: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/TextCortex/laya-cybersec/resolve/main/charts/r2a-auroc.png
- Command line
-
hf download hf://TextCortex/laya-cybersec/charts/r2a-auroc.png
-
curl -L -o r2a-auroc.png https://huggingface.co/TextCortex/laya-cybersec/resolve/main/charts/r2a-auroc.png
148 kB

- Xet hash:
- 7e3842a66325bd06a8a231328a0c5f98c6bf4a217f6dbb3b326665bc7a041388
- Size of remote file:
- 148 kB
- SHA256:
- f140f6c53e8a600de3868a4a691f6ecf49f52efc829d70e84590fe9e3d7aa8e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.