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MLX
Safetensors
mlx-weights
paddlepaddle-ocr
ppocrv5
ppocrv6
ppdoclayoutv3
pp-structure
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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] hf download plaincompute/ppocr-mlx --local-dir ppocr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download table_wired/model.safetensors from plaincompute/ppocr-mlx: direct link, hf CLI and curl.
- Browser
- Download file 182 MB
-
https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_wired/model.safetensors
- Command line
-
hf download hf://plaincompute/ppocr-mlx/table_wired/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_wired/model.safetensors
182 MB
- Xet hash:
- c32d4d26a914f7845caaba7aaf1f3d7c0b38533a1c4c38aafc955024aa01c6e1
- Size of remote file:
- 182 MB
- SHA256:
- 3cc70e0dcc11e4e4381d08a4402c8a0b7a1ab978952cbd1c0eaa5f30403f222c
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