microsoft / image-classification updated 2 years ago

resnet-50

Name: resnet-50
Author: microsoft

ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper Deep Residual Learning for Image Recognition by He et al.

Params

30 M

Context

—

Downloads 30d

1.2 M

Likes

503

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.2 M989 K

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	0.1 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: 30 M
Tensor type: F32
Licence: apache-2.0
First seen on the Hub: 2022-03-16
Training datasets: imagenet-1k
Added to our catalog: 2026-07-28

Compare with

mobilenetv3_small_100.lamb_in1k 18.5 M nsfw_image_detection 5.4 M vit-base-patch16-224 4.7 M resnet50.a1_in1k 2.8 M tf_efficientnetv2_s.in21k_ft_in1k 1.6 M mit-b2 1.6 M

Appears in

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