Model Details
Full Model IDTahaDouaji/detr-doc-table-detection
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)138.7K
Likes64
Last Modified11/10/2025
Author / OrgTahaDouaji
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="TahaDouaji/detr-doc-table-detection")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchonnxsafetensorsdetrobject-detection- visiondataset:MohamedExperio/ICDAR2019arxiv:2005.12872arxiv:1910.09700base_model:facebook/detr-resnet-50base_model:quantized:facebook/detr-resnet-50license:apache-2.0endpoints_compatibleregion:us
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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
⬇ Downloads138.7K
❤️ Community Likes64
🛠️ 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.