vit_large_patch14_reg4_224.kaiko_ai_towards_large_pathology_fms
1aurent/vit_large_patch14_reg4_224.kaiko_ai_towards_large_pathology_fms
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 747
- Total downloadsCumulative all-time download counter reported by the source platform.
- 14.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +52(increase)
- 0.4%(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. #729 among tracked Embeddings models.
- #36,645
- 59(up 59 places)this week
- Parameters
- 304M
- Last source update
- Jul 14, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 27.2
- vit_large_patch14_reg4_224.kaiko_ai_towards_large_pathology_fms gained 52 downloads during the last seven tracked days.
- It moved from #738 to #729 among tracked Embeddings models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
vit_large_patch14_reg4_224.kaiko_ai_towards_large_pathology_fms is a embeddings model published by 1aurent. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Jun 7, 2024
- Last updated
- Jul 14, 2024
- Library
- timm
- License
- other
- Task
- Embeddings
- Parameters
- 304,370,688
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 7
timmsafetensorsfeature-extractionimage-classificationarxiv:2404.15217license:othermodel-indexregion:us
Publisher
1aurentView publisher statistics →Similar models
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