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_cell_wired/preprocessor_config.json from plaincompute/ppocr-mlx: direct link, hf CLI and curl.
- Browser
- Download file 568 Bytes
-
https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_cell_wired/preprocessor_config.json
- Command line
-
hf download hf://plaincompute/ppocr-mlx/table_cell_wired/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_cell_wired/preprocessor_config.json
568 Bytes
| { | |
| "_valid_processor_keys": [ | |
| "images", | |
| "do_resize", | |
| "size", | |
| "resample", | |
| "do_rescale", | |
| "rescale_factor", | |
| "do_normalize", | |
| "image_mean", | |
| "image_std", | |
| "return_tensors", | |
| "data_format", | |
| "input_data_format" | |
| ], | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_processor_type": "RTDetrImageProcessor", | |
| "image_mean": [ | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "image_std": [ | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "rescale_factor": 0.00392156862745098, | |
| "resample": 3, | |
| "size": { | |
| "height": 640, | |
| "width": 640 | |
| } | |
| } |