fairface_age_image_detection
See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
Params
90 M
Context
—
Downloads 30d
248 K
Likes
84
Download history
daily snapshots · 106 days
▲ 0 in the last 30 days (0.0%)
248 K248 K
Oct 12Oct 22Nov 1Nov 10
2.3 M248 K
Aug 13Sep 12Oct 12Nov 10
4.5 M248 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 1.7 GB | 2.4 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- ViTForImageClassification
- Parameters
- 90 M
- Tensor type
- F32
- Layers / heads
- 12 / 12
- Licence
- apache-2.0
- First seen on the Hub
- 2024-12-06
- Training datasets
- nateraw/fairface
- Added to our catalog
- 2026-07-28
Compare with any image-classification model