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
| mode: paddle | |
| draw_threshold: 0.5 | |
| metric: COCO | |
| use_dynamic_shape: false | |
| Global: | |
| model_name: RT-DETR-L_wired_table_cell_det | |
| arch: DETR | |
| min_subgraph_size: 3 | |
| Preprocess: | |
| - interp: 2 | |
| keep_ratio: false | |
| target_size: | |
| - 640 | |
| - 640 | |
| type: Resize | |
| - mean: | |
| - 0.0 | |
| - 0.0 | |
| - 0.0 | |
| norm_type: none | |
| std: | |
| - 1.0 | |
| - 1.0 | |
| - 1.0 | |
| type: NormalizeImage | |
| - type: Permute | |
| label_list: | |
| - cell | |
| Hpi: | |
| backend_configs: | |
| paddle_infer: | |
| trt_dynamic_shapes: | |
| im_shape: | |
| - - 1 | |
| - 2 | |
| - - 1 | |
| - 2 | |
| - - 8 | |
| - 2 | |
| image: | |
| - - 1 | |
| - 3 | |
| - 640 | |
| - 640 | |
| - - 1 | |
| - 3 | |
| - 640 | |
| - 640 | |
| - - 8 | |
| - 3 | |
| - 640 | |
| - 640 | |
| scale_factor: | |
| - - 1 | |
| - 2 | |
| - - 1 | |
| - 2 | |
| - - 8 | |
| - 2 | |
| trt_dynamic_shape_input_data: | |
| im_shape: | |
| - - 640 | |
| - 640 | |
| - - 640 | |
| - 640 | |
| - - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| - 640 | |
| scale_factor: | |
| - - 2 | |
| - 2 | |
| - - 1 | |
| - 1 | |
| - - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| - 0.67 | |
| tensorrt: | |
| dynamic_shapes: | |