vit-base-patch16-224-in21k-finetuned-cifar10
aaraki/vit-base-patch16-224-in21k-finetuned-cifar10
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,109
- Total downloadsCumulative all-time download counter reported by the source platform.
- 507.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
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- 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.
- 12
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #468 among tracked Image Classification models.
- #13,891
- –this week
- Parameters
- —
- Last source update
- Mar 30, 2022
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
vit-base-patch16-224-in21k-finetuned-cifar10 is a image classification model published by aaraki. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Mar 30, 2022
- Last updated
- Mar 30, 2022
- Library
- transformers
- License
- apache-2.0
- Task
- Image Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchtensorboardvitimage-classificationgenerated_from_trainerdataset:cifar10license:apache-2.0model-indexendpoints_compatibleregion:us
Publisher
aarakiView publisher statistics →Similar models
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