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
- Xet hash:
- 3da8785657ab78257897e4ff4454e895154002b68d593c9c12893825e1ff0287
- Size of remote file:
- 20 MB
- SHA256:
- 473931e8cb8271aadcef7ef66f563fc281b968644c1cd99fc19990e38d18673a
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