swinv2_base_window12to24_192to384.ms_in22k_ft_in1k
timm/swinv2_base_window12to24_192to384.ms_in22k_ft_in1k
Tracked by OpenModelStats since August 28, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,718
- Total downloadsCumulative all-time download counter reported by the source platform.
- 276.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,244(increase)
- 0.5%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #337 among tracked Image Classification models.
- #10,734
- 117(down 117 places)this week
- Parameters
- 94.6M
- 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.
- 52.1
- swinv2_base_window12to24_192to384.ms_in22k_ft_in1k gained 1,244 downloads during the last seven tracked days.
- It moved from #336 to #337 among tracked Image Classification models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k is a image classification model published by timm. OpenModelStats has tracked the model since Aug 28, 2026, most recently observing it Sep 27, 2026.
- Published
- Mar 18, 2023
- Last updated
- Jan 21, 2025
- Library
- timm
- License
- mit
- Task
- Image Classification
- Parameters
- 94,554,336
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 178
timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-1kdataset:imagenet-22karxiv:2111.09883license:mitregion:us
Publisher
timmView publisher statistics →Similar models
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