PaddlePaddle/PP-DocLayoutV3_safetensors

object-detection model by PaddlePaddle

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Unified Layout Module for PaddleOCR-VL 1.5/1.6 & GLM-OCR & & Xiaomi-OCR-0. [](https://github.com/PaddlePaddle/PaddleOCR) [](https://huggingface.co/PaddlePaddle/PP-DocLayoutV3) [](https://modelscope.cn/models/PaddlePaddle/PP-DocLayoutV3) [](https://huggingface.co/spaces/PaddlePaddle/PaddleOCR-VL-1.5OnlineDemo) [](https://modelscope.cn/studios/PaddlePaddle/PaddleOCR-VL-1.5OnlineDemo/summary) [](https://discord.gg/JPmZXDsEEK) [](https://x.com/PaddlePaddle) [](./LICENSE) 🔥 Official Website | 📝 Technical Report This is the model weights for PP-DocLayoutv3 in safetensors format. Get PaddlePaddle weights at PP-DocLayoutV3 PP-DocLayoutV3 is specifically engineered to handle non-planar document images. It can directly predict multi-point bounding boxes for layout elements—as opposed to standard two-point boxes—and determine logical reading orders for skewed and curved surfaces within a…

PaddlePaddle/PP-DocLayoutV3_safetensors on Hugging Face A short preview, not the full document.

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  1. Introduction
  2. Model Architecture
  3. Model Usage
  4. Visualization
  5. Light Variation
  6. Skewing
  7. Screen-photo
  8. Curving
  9. Citation

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Model overview

PaddlePaddle/PP-DocLayoutV3_safetensors is a object-detection model repository published by PaddlePaddle on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
object-detection
Library
transformers
Recent downloads (30 days)
934,206
Cumulative likes
58
Hugging Face trending score
2
Reported safetensors parameters
33,288,957
Architecture
PPDocLayoutV3ForObjectDetection
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-01-20T09:56:56.000Z
Last modified
2026-09-30T05:01:30.000Z

Compatibility and lineage

Reported languages: en, zh, multilingual

Reported base models: PaddlePaddle/PP-DocLayoutV3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.

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