Instructions to use PaddlePaddle/PP-FormulaNet-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-FormulaNet-S with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import FormulaRecognition model = FormulaRecognition(model_name="PP-FormulaNet-S") 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:
- 704471ae47042d516484ce674f8e0973c3aa1e45db9f4f7e7bd1e22952c4527f
- Size of remote file:
- 232 MB
- SHA256:
- b6392296d16e2a9f414c0a751d7ccbd1bd9d8272b68aab72df1d3875f35a7489
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