beit_base_patch16_384.in22k_ft_in22k_in1k
timm/beit_base_patch16_384.in22k_ft_in22k_in1k
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,653
- Total downloadsCumulative all-time download counter reported by the source platform.
- 42.1K
- 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.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #488 among tracked Image Classification models.
- #14,724
- –this week
- Parameters
- 90.7M
- Last source update
- Jan 21, 2025
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_base_patch16_384.in22k_ft_in22k_in1k is a image classification model published by timm. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Dec 23, 2022
- Last updated
- Jan 21, 2025
- Library
- timm
- License
- apache-2.0
- Task
- Image Classification
- Parameters
- 90,739,252
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-1kdataset:imagenet-22karxiv:2106.08254arxiv:2010.11929license:apache-2.0region:us
Publisher
timmView publisher statistics →Similar models
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