Gender-Classifier-Mini
> Gender-Classifier-Mini is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify images based on gender using the SiglipForImageClassification architecture.
Params
93 M
Context
—
Downloads 30d
5.8 M
Likes
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Download history
daily snapshots · 20 days5.8 M377 K
Oct 4Oct 10Oct 17Oct 23
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 | 1.1 GB | 1.7 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
- SiglipForImageClassification
- Parameters
- 93 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2025-03-23
- Training datasets
- myvision/gender-classification
- Added to our catalog
- 2026-10-04
Compare with any image-classification model