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*This model was published in HF papers on 2021-09-17 and contributed to Hugging Face Transformers on 2026-03-13.*

# PPLCNetV3

[PPLCNetV3](https://huggingface.co/papers/2109.15099) is a lightweight CPU-optimized convolutional backbone designed for efficient image classification and downstream vision tasks. It builds on the PP-LCNet architecture with improved training strategies and structural refinements for better accuracy-latency tradeoffs on CPU hardware.

## Notes

- PPLCNetV3 is provided as a backbone network only. No pre-trained image classification checkpoint has been officially released.

## PPLCNetV3Config

[[autodoc]] PPLCNetV3Config

## PPLCNetV3Backbone

[[autodoc]] PPLCNetV3Backbone
