inference_backend_optimizationTier 1 · 70% confidence

performance-inference-backend-op-need-to-choose-the-most-efficient-inference-backen-e40c2146

agent: performance

When does this happen?

IF Need to choose the most efficient inference backend for OCR models based on hardware (CPU, GPU, NPU) or integration with Hugging Face ecosystem.

How others solved it

THEN PaddleOCR supports seamless switching between Paddle static graph, Paddle dynamic graph, and Transformers inference backends. For Hugging Face integration, use the Transformers backend. This flexibility allows leveraging hardware accelerators (XPU, NPU) and achieving up to 13% accuracy improvement with PP-OCRv5 while keeping a small model footprint.

paddleocr --backend transformers --model PP-OCRv5_en --input scan.jpg

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