Instructions to use PaddlePaddle/UniMERNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/UniMERNet 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="UniMERNet") 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:
- 6617491ca5a106ddf931c03b06c8b11a6b6ab05253910d2ab35466b63abd476d
- Size of remote file:
- 1.64 GB
- SHA256:
- 3e27e304d2d986df7e82792555d2b0f2706211f79cb8084989b9696304130e9f
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