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] huggingface-cli download --local-dir ppocr-mlx plaincompute/ppocr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "model_type": "pp_ocrv5_mobile_det", | |
| "reduction":4, | |
| "layer_list_out_channels": [12, 18, 42, 360], | |
| "backbone_config": { | |
| "model_type": "pp_lcnet_v3", | |
| "scale": 0.75, | |
| "out_features": ["stage2", "stage3", "stage4", "stage5"], | |
| "out_indices": [2, 3, 4, 5], | |
| "divisor": 16 | |
| }, | |
| "neck_out_channels": 96, | |
| "kernel_list": [3, 2, 2], | |
| "interpolate_mode": "nearest" | |
| } |