Instructions to use breezedeus/cnocr-ppocr-multi_PP-OCRv6_tiny 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_tiny 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
| license: apache-2.0 | |
| tags: | |
| - OCR | |
| - STD | |
| - ONNX | |
| - RapidOCR | |
| - PaddleOCR | |
| - Multilingual | |
| - Optical Character Recognition | |
| # Text Recognition Model for CnOCR | |
| 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. | |
| 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。 | |
| Model source: the ONNX model file in this repository comes from [RapidOCR](https://github.com/RapidAI/RapidOCR). | |
| 模型来源:本仓库中的 ONNX 模型文件来自 [RapidOCR](https://github.com/RapidAI/RapidOCR)。 | |
| See more information: [CnOCR](https://github.com/breezedeus/CnOCR). | |