Instructions to use PaddlePaddle/PP-FormulaNet_plus-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-FormulaNet_plus-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_plus-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:
- 47ea49692f1c3495d09fa61221de2951509bc2eda92575403be4bef4b9ec20be
- Size of remote file:
- 257 MB
- SHA256:
- e464f94412feaa98f8791eacc84684f887b3569e30e80c52b8112e9cf7d4069b
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