Instructions to use PaddlePaddle/PP-DocLayoutV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-DocLayoutV2 with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import LayoutDetection model = LayoutDetection(model_name="PP-DocLayoutV2") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
Download inference.pdiparams from PaddlePaddle/PP-DocLayoutV2: direct link, hf CLI and curl.
- Browser
- Download file 212 MB
-
https://huggingface.co/PaddlePaddle/PP-DocLayoutV2/resolve/main/inference.pdiparams
- Command line
-
hf download hf://PaddlePaddle/PP-DocLayoutV2/inference.pdiparams
-
curl -L -o inference.pdiparams https://huggingface.co/PaddlePaddle/PP-DocLayoutV2/resolve/main/inference.pdiparams
212 MB
- Xet hash:
- 41846ab956b26512daf1313887232fa11af67bb9421cab75915473438948d8ea
- Size of remote file:
- 212 MB
- SHA256:
- 45404a84c9fdf91d7bbc94bd47ac4c03649bda84167de04c62bff4726657869a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.