Instructions to use PaddlePaddle/PicoDet-S_layout_3cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PicoDet-S_layout_3cls 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="PicoDet-S_layout_3cls") 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/PicoDet-S_layout_3cls: direct link, hf CLI and curl.
- Browser
- Download file 4.77 MB
-
https://huggingface.co/PaddlePaddle/PicoDet-S_layout_3cls/resolve/main/inference.pdiparams
- Command line
-
hf download hf://PaddlePaddle/PicoDet-S_layout_3cls/inference.pdiparams
-
curl -L -o inference.pdiparams https://huggingface.co/PaddlePaddle/PicoDet-S_layout_3cls/resolve/main/inference.pdiparams
4.77 MB
- Xet hash:
- fcade540f66dd4c8be38c88c4d69e594df708a4314605e53baf45f815c2d0a45
- Size of remote file:
- 4.77 MB
- SHA256:
- 6dfde7477ede8354d59854d05ca16ceeefaccc5f352c50653ec1d9381f855be2
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