Text recognition neural network: PaddleOCR 3.5 adds PyTorch
PaddleOCR has released version 3.5 with full support for Transformers as an inference backend. Teams can now run OCR and document parsing in a PyTorch environment. This will simplify integration with RAG and Document AI projects.
AI-processed from Hugging Face Blog; edited by Hamidun News
The PaddleOCR text recognition neural network just got easier to adopt. Version 3.5 runs on Hugging Face Transformers, so teams can stay in the PyTorch environment they already know instead of using the native Paddle engine.
How do you use the PaddleOCR neural network with PyTorch?
Version 3.5 adds a flexible backend selection interface through the engine parameter, which lets you choose Transformers instead of the native Paddle runtime.
Why did PaddleOCR add PyTorch support?
Previously, working with PaddleOCR meant installing the entire Paddle stack, even if a team already used PyTorch. Version 3.5 fixes this with a flexible backend selection interface through the engine parameter.
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Key Questions Answered
How do you use the PaddleOCR neural network with PyTorch?
Version 3.5 adds a flexible backend selection interface through the engine parameter, which lets you choose Transformers instead of the native Paddle runtime.
Why did PaddleOCR add PyTorch support?
Previously, working with PaddleOCR meant installing the entire Paddle stack, even if a team already used PyTorch. Version 3.5 fixes this with a flexible backend selection interface through the engine parameter.
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