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": "slanet", | |
| "backbone_config":{ | |
| "model_type": "pp_lcnet", | |
| "scale": 1, | |
| "out_features": ["stage2", "stage3", "stage4", "stage5"], | |
| "out_indices": [2, 3, 4, 5] | |
| }, | |
| "post_conv_out_channels": 96, | |
| "out_channels": 50, | |
| "hidden_size": 256, | |
| "max_text_length": 500 | |
| } |