regnety_008.pycls_in1k
timm/regnety_008.pycls_in1k
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 11.3K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 455K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,943(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. #252 among tracked Image Classification models.
- #7,753
- 5(up 5 places)this week
- Parameters
- 6.3M
- 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.
- 54.0
- regnety_008.pycls_in1k gained 1,943 downloads during the last seven tracked days.
- It moved from #255 to #252 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
regnety_008.pycls_in1k is a image classification model published by timm. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 29h ago.
- Published
- Mar 21, 2023
- Last updated
- Jan 21, 2025
- Library
- timm
- License
- mit
- Task
- Image Classification
- Parameters
- 6,293,056
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 278
timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-1karxiv:2003.13678license:mitregion:us
Publisher
timmView publisher statistics →Similar models
| Model | DL 30D |
|---|---|
| tinynet_a.in1ktimm | 8,364 |
| hgnetv2_b1.ssld_stage2_ft_in1ktimm | 679 |
| regnetx_006.pycls_in1ktimm | 2,074 |
| ghostnetv2_100.in1ktimm | 2,943 |
| efficientnet_b1_pruned.in1ktimm | 1,929 |
| tf_efficientnet_lite2.in1ktimm | 504 |