Instructions to use PaddlePaddle/PP-Chart2Table with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-Chart2Table with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import ChartParsing model = ChartParsing(model_name="PP-Chart2Table") 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 model_state.pdparams from PaddlePaddle/PP-Chart2Table: direct link, hf CLI and curl.
- Browser
- Download file 1.43 GB
-
https://huggingface.co/PaddlePaddle/PP-Chart2Table/resolve/main/model_state.pdparams
- Command line
-
hf download hf://PaddlePaddle/PP-Chart2Table/model_state.pdparams
-
curl -L -o model_state.pdparams https://huggingface.co/PaddlePaddle/PP-Chart2Table/resolve/main/model_state.pdparams
1.43 GB
- Xet hash:
- f8fca7af6437e01b6e8070734a24433c9082eb415fc152b587ab11bde37da58e
- Size of remote file:
- 1.43 GB
- SHA256:
- 84a6990436ddd55e03acdb44048ff6484aa53619f41412eda2e277df79ea2de6
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