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_cls/inference.yml from plaincompute/ppocr-mlx: direct link, hf CLI and curl.
- Browser
- Download file 762 Bytes
-
https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_cls/inference.yml
- Command line
-
hf download hf://plaincompute/ppocr-mlx/table_cls/inference.yml
-
curl -L -o inference.yml https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_cls/inference.yml
762 Bytes
| Global: | |
| model_name: PP-LCNet_x1_0_table_cls | |
| Hpi: | |
| backend_configs: | |
| paddle_infer: | |
| trt_dynamic_shapes: | |
| x: | |
| - - 1 | |
| - 3 | |
| - 224 | |
| - 224 | |
| - - 1 | |
| - 3 | |
| - 224 | |
| - 224 | |
| - - 8 | |
| - 3 | |
| - 224 | |
| - 224 | |
| tensorrt: | |
| dynamic_shapes: | |
| PreProcess: | |
| transform_ops: | |
| - ResizeImage: | |
| resize_short: 256 | |
| - CropImage: | |
| size: 224 | |
| - NormalizeImage: | |
| channel_num: 3 | |
| mean: | |
| - 0.485 | |
| - 0.456 | |
| - 0.406 | |
| order: '' | |
| scale: 0.00392156862745098 | |
| std: | |
| - 0.229 | |
| - 0.224 | |
| - 0.225 | |
| - ToCHWImage: null | |
| PostProcess: | |
| Topk: | |
| topk: 5 | |
| label_list: | |
| - wired_table | |
| - wireless_table | |