Model Details
Full Model IDPaddlePaddle/PP-DocLayoutV3_safetensors
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)332.5K
Likes30
Last Modified6/18/2026
Author / OrgPaddlePaddle
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="PaddlePaddle/PP-DocLayoutV3_safetensors")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorspp_doclayout_v3object-detectionPaddleOCRPaddlePaddleimage-segmentationocrlayoutlayout_detectionenzhmultilingualarxiv:2601.21957base_model:PaddlePaddle/PP-DocLayoutV3base_model:finetune:PaddlePaddle/PP-DocLayoutV3license:apache-2.0endpoints_compatibleregion:us
More Object Detection Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🔍 Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads332.5K
❤️ Community Likes30
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.