Instructions to use PaddlePaddle/PP-OCRv5_server_rec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-OCRv5_server_rec with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import TextRecognition model = TextRecognition(model_name="PP-OCRv5_server_rec") 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
Multilingual model — testing for mobile deployment
#3
by 3morixd - opened
This model covers Hebrew, Arabic, Telugu, Chinese, Italian — exactly what we need for global mobile AI.
At Dispatch AI (FZE, UAE), we're building mobile AI that works for everyone. We benchmark multilingual models on our 40-phone farm (Snapdragon 865) to check quality retention across languages after 4-bit quantization.
Would love to see multilingual eval at different quantization levels.
- Dispatch AI (FZE), Sharjah UAE