Instructions to use breezedeus/cnocr-ppocr-multi_PP-OCRv6_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use breezedeus/cnocr-ppocr-multi_PP-OCRv6_medium with PaddleOCR:
# Please refer to the document for information on how to use the model. # https://paddlepaddle.github.io/PaddleOCR/latest/en/version3.x/module_usage/module_overview.html
- Notebooks
- Google Colab
- Kaggle
Update README
Browse files
README.md
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---
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license: apache-2.0
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tags:
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- OCR
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- STD
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- ONNX
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- RapidOCR
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- PaddleOCR
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- Multilingual
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- Optical Character Recognition
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---
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# Text Recognition Model for CnOCR
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CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation.
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CnOCR:基于 PyTorch 的中文 / 英文 OCR Python 工具包。它带有 20 多个针对不同应用场景进行良好训练的模型,安装后可直接使用。
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Model source: the ONNX model file in this repository comes from [RapidOCR](https://github.com/RapidAI/RapidOCR).
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模型来源:本仓库中的 ONNX 模型文件来自 [RapidOCR](https://github.com/RapidAI/RapidOCR)。
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See more information: [CnOCR](https://github.com/breezedeus/CnOCR).
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