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_structure/model.mlx.safetensors from plaincompute/ppocr-mlx: direct link, hf CLI and curl.
- Browser
- Download file 7.44 MB
-
https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_structure/model.mlx.safetensors
- Command line
-
hf download hf://plaincompute/ppocr-mlx/table_structure/model.mlx.safetensors
-
curl -L -o model.mlx.safetensors https://huggingface.co/plaincompute/ppocr-mlx/resolve/main/table_structure/model.mlx.safetensors
7.44 MB
- Xet hash:
- 5cc26a39faff185a4666b2657125b0e478f67a8f3827f9cd49b2da2c91e29fd9
- Size of remote file:
- 7.44 MB
- SHA256:
- 82cd144e46a559a9ead6f1cf7c69c7c9d18123b126b96924a6990569ced5c56e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.