Deepfake-Detect-Siglip2
prithivMLmods/Deepfake-Detect-Siglip2
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 742
- Total downloadsCumulative all-time download counter reported by the source platform.
- 25.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +148(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #784 among tracked Image Classification models.
- #37,251
- 164(down 164 places)this week
- Parameters
- 92.9M
- Last source update
- Mar 28, 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.
- 35.3
- Deepfake-Detect-Siglip2 gained 148 downloads during the last seven tracked days.
- It moved from #781 to #784 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
Deepfake-Detect-Siglip2 is a image classification model published by prithivMLmods. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 28h ago.
- Published
- Feb 25, 2025
- Last updated
- Mar 28, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Image Classification
- Parameters
- 92,885,762
- Spaces
- 11
- Derivative models
- —
- Velocity 7D/day
- 21
transformerssafetensorssiglipimage-classificationdeepfakedetectionenbase_model:google/siglip2-base-patch16-224base_model:finetune:google/siglip2-base-patch16-224license:apache-2.0endpoints_compatibleregion:us
Model family
Based on base-model relationships reported by the source's metadata.
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