table-transformer-structure-recognition-v1.1-pub
microsoft/table-transformer-structure-recognition-v1.1-pub
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,074
- Total downloadsCumulative all-time download counter reported by the source platform.
- 47.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 6
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #99 among tracked Object Detection models.
- #24,977
- –this week
- Parameters
- 28.8M
- Last source update
- Nov 27, 2023
Downloads over time
Daily gain between consecutive observationsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
table-transformer-structure-recognition-v1.1-pub is a object detection model published by microsoft. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 10h ago.
- Published
- Nov 18, 2023
- Last updated
- Nov 27, 2023
- Library
- transformers
- License
- mit
- Task
- Object Detection
- Parameters
- 28,847,819
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorstable-transformerobject-detectionarxiv:2303.00716license:mitendpoints_compatibleregion:usdeploy:azure
Publisher
microsoftView publisher statistics →Similar models
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