SigLIP2-Base-for-animal-identification
AvitoTech/SigLIP2-Base-for-animal-identification
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 198
- Total downloadsCumulative all-time download counter reported by the source platform.
- 519
- 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.
- 4
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- 375M
- Last source update
- Aug 12, 2026
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
SigLIP2-Base-for-animal-identification is a image feature extraction model published by AvitoTech. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1 min ago.
- Published
- Dec 2, 2025
- Last updated
- Aug 12, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Feature Extraction
- Parameters
- 375,187,970
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorssiglipzero-shot-image-classificationsiglip2visionimage-embeddingspet-recognitionimage-feature-extractionarxiv:2407.13555license:apache-2.0endpoints_compatible
Publisher
AvitoTechView publisher statistics →Similar models
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