vit_small_patch32_224.augreg_in21k_ft_in1k
timm/vit_small_patch32_224.augreg_in21k_ft_in1k
Tracked by OpenModelStats since October 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 648
- Total downloadsCumulative all-time download counter reported by the source platform.
- 154.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +61(increase)
- 0.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #804 among tracked Image Classification models.
- #39,156
- 61(down 61 places)this week
- Parameters
- 22.9M
- Last source update
- Jan 21, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 25.3
- vit_small_patch32_224.augreg_in21k_ft_in1k gained 61 downloads during the last seven tracked days.
- It moved from #803 to #804 among tracked Image Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
vit_small_patch32_224.augreg_in21k_ft_in1k is a image classification model published by timm. OpenModelStats has tracked the model since Oct 1, 2026, most recently observing it 19h ago.
- Published
- Dec 22, 2022
- Last updated
- Jan 21, 2025
- Library
- timm
- License
- apache-2.0
- Task
- Image Classification
- Parameters
- 22,878,952
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 9
timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-1kdataset:imagenet-21karxiv:2106.10270arxiv:2010.11929license:apache-2.0region:us
Publisher
timmView publisher statistics →Similar models
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