ms-eff-gcvit-deepfake-b5-ff-plus-plus
KoreaPeter/ms-eff-gcvit-deepfake-b5-ff-plus-plus
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 8,090
- Total downloadsCumulative all-time download counter reported by the source platform.
- 24.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,006(increase)
- 5.8%(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. #19 among tracked Video Classification models.
- #9,300
- 62(down 62 places)this week
- Parameters
- 52.7M
- Last source update
- Jul 4, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 61.1
- ms-eff-gcvit-deepfake-b5-ff-plus-plus gained 1,006 downloads during the last seven tracked days.
- It moved from #20 to #19 among tracked Video Classification models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
ms-eff-gcvit-deepfake-b5-ff-plus-plus is a video classification model published by KoreaPeter. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 30h ago.
- Published
- Jun 23, 2026
- Last updated
- Jul 4, 2026
- Library
- transformers
- License
- mit
- Task
- Video Classification
- Parameters
- 52,743,453
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 144
transformerssafetensorsms_eff_gcvitimage-classificationPyTorchvisionDeepFake-DetectionDeepGuardtf-efficientnetglobal-context-vision-transformervideo-classificationcustom_code
Publisher
KoreaPeterView publisher statistics →Derived from timm/tf_efficientnet_b5.ns_jft_in1k (reported by the source; parent not yet tracked).
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