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_ocrv6_tiny_rec", | |
| "backbone_config": { | |
| "model_type": "pp_lcnet_v4", | |
| "stem_channels": [3, 24, 48], | |
| "stem_type": "small", | |
| "out_features": ["stage1", "stage2", "stage3", "stage4"], | |
| "out_indices": [1, 2, 3, 4], | |
| "block_configs": [ | |
| [[3, 48, 48, 1, true]], | |
| [[3, 48, 48, 1, false]], | |
| [ | |
| [3, 48, 96, [2, 1], false], | |
| [3, 96, 96, 1, true], | |
| [3, 96, 96, 1, false] | |
| ], | |
| [ | |
| [3, 96, 160, [2, 1], false], | |
| [3, 160, 160, 1, true], | |
| [3, 160, 160, 1, false], | |
| [3, 160, 160, 1, false] | |
| ] | |
| ] | |
| }, | |
| "hidden_size": 80, | |
| "head_out_channels": 6906 | |
| } |