beit-large-finetuned-ade-640-640
microsoft/beit-large-finetuned-ade-640-640
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 7,672
- Total downloadsCumulative all-time download counter reported by the source platform.
- 90.5K
- 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.
- 15
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #64 among tracked Image Segmentation models.
- #9,095
- –this week
- Parameters
- 503M
- Last source update
- Jan 25, 2024
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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
beit-large-finetuned-ade-640-640 is a image segmentation model published by microsoft. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 38 min ago.
- Published
- Mar 2, 2022
- Last updated
- Jan 25, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Image Segmentation
- Parameters
- 502,815,044
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorsbeitvisionimage-segmentationdataset:scene_parse_150arxiv:2106.08254license:apache-2.0endpoints_compatibleregion:usdeploy:azure
Publisher
microsoftView publisher statistics →Similar models
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