Image-to-Text
MLX
Safetensors
mlx-weights
paddlepaddle-ocr
ppocrv5
ppocrv6
ppdoclayoutv3
pp-structure
apple-silicon
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_wireless/preprocessor_config.json from plaincompute/ppocr-mlx: direct link, hf CLI and curl.
- Browser
- Download file 217 Bytes
-
https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_wireless/preprocessor_config.json
- Command line
-
hf download hf://plaincompute/ppocr-mlx/table_wireless/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_wireless/preprocessor_config.json
217 Bytes
| { | |
| "do_resize": true, | |
| "size": { | |
| "height": 512, | |
| "width": 512 | |
| }, | |
| "do_normalize": true, | |
| "image_mean": [0.485, 0.456, 0.406], | |
| "image_std": [0.229, 0.224, 0.225], | |
| "do_pad": true | |
| } |