microsoft / image-classification Open weights updated 2 years ago

resnet-18

ResNet model trained on imagenet-1k. It was introduced in the paper Deep Residual Learning for Image Recognition and first released in this repository.

Params
12 M
Context
—
Downloads 30d
728 K
Likes
94
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 21 days
728 K222 K
Oct 4Oct 11Oct 18Oct 24

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f32 0.0 GB 0.6 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
ResNetForImageClassification
Parameters
12 M
Tensor type
F32
Licence
apache-2.0
First seen on the Hub
2022-03-16
Training datasets
imagenet-1k
Added to our catalog
2026-10-04
Compare with any image-classification model