fairface_age_image_detection
See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
Params
90 M
Context
—
Downloads 30d
3.2 M
Likes
76
Download history
daily snapshots · 10 days4.5 M3.2 M
Jul 28Jul 31Aug 3Aug 6
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
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