Text Classification
MLX
Safetensors
English
Polish
qwen3_5
apple
quantized
4-bit precision
tentaguard
guard
security
prompt-injection
tentaflow
Instructions to use TentaFlow/TentaGuard-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TentaFlow/TentaGuard-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir TentaGuard-MLX-4bit TentaFlow/TentaGuard-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 058772eae2488180f2221ebd26285e0536d18ab6f1b696338be0e2249b5fca06
- Size of remote file:
- 424 MB
- SHA256:
- 2235e98ccc350b25a5d5fa1550efc10a7d7e0ff11e3d7aca2c62b746efe913f8
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