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Instructions to use plaincompute/ppocr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use plaincompute/ppocr-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ppocr-mlx plaincompute/ppocr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 219fc6f2ed1e7c1e56c039cb4a703bbf30bf38c90c45f5793e9ce2628f8289c8
- Size of remote file:
- 6.76 MB
- SHA256:
- c3668d305f4212028525f7c3bcb62c1bd84abd9b4623d575fce10349275aa85d
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