dinov2-base
facebook/dinov2-base
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2.6M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 100.2M
- 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.
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- LikesCommunity likes reported by the source platform.
- 193
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2 among tracked Image Feature Extraction models.
- #159
- 46(down 46 places)this week
- Parameters
- 86.6M
- Last source update
- Jan 17, 2024
- It moved from #1 to #2 among tracked Image Feature Extraction models this week.
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
dinov2-base is a image feature extraction model published by facebook. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1h ago.
- Published
- Jul 17, 2023
- Last updated
- Jan 17, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Image Feature Extraction
- Parameters
- 86,580,480
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorsdinov2image-feature-extractiondinovisionarxiv:2304.07193license:apache-2.0region:us
Publisher
facebookView publisher statistics →Similar models
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