🔍 Object Detection

table-transformer-structure-recognition

microsoft/table-transformer-structure-recognition

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transformers
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Model Details
Full Model IDmicrosoft/table-transformer-structure-recognition
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)1.3M
Likes213
Last Modified9/6/2023
Author / Orgmicrosoft
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="microsoft/table-transformer-structure-recognition")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerspytorchsafetensorstable-transformerobject-detectionarxiv:2110.00061license:mitendpoints_compatibledeploy:azureregion:us
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🚀 Use This Model

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
Downloads1.3M
❤️ Community Likes213
🛠️ 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.
👋 Need help with code?