Instructions to use PaddlePaddle/PP-FormulaNet_plus-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-FormulaNet_plus-L 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_plus-L") 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:
- 7d5b57b244b960086269ef3e228680b311fd787e868f6276c2ba2d6ded37360a
- Size of remote file:
- 728 MB
- SHA256:
- 4245c39c181d1d21e472bc85c7434df9b23f177be46552c0542bf153addbc355
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