Instructions to use PaddlePaddle/PP-FormulaNet-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-FormulaNet-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-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:
- 0c0af86ada97fb1dd0e46065307098c3a20c323a052709bdb48f97cf9f298511
- Size of remote file:
- 724 MB
- SHA256:
- 039b320b0d1b64361a053f7496b05db9f53fabd22d27c80ccfab4c59d3881318
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