Instructions to use PaddlePaddle/PP-FormulaNet_plus-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-FormulaNet_plus-M 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-M") 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:
- f44a09bf5c94b0777a3d38cd5a2827d6934be1ced29f3acc55e295d6ecbc8b15
- Size of remote file:
- 617 MB
- SHA256:
- f16ef9b5c8227da70d3ec969a5195f4d62c1154427b883f4d6cff07633654041
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