Instructions to use PaddlePaddle/SLANet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/SLANet with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import TableStructureRecognition model = TableStructureRecognition(model_name="SLANet") 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
- Xet hash:
- 8c40fc509685c1432961c3791ee6cc28ab2d96ae3eb37583490102c8968fb5c8
- Size of remote file:
- 7.67 MB
- SHA256:
- 9d33d47b174bcb9fb63f94dac54a4d01a974da6d0c56ddb51cf0e38ed43f7a60
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