timm / image-classification updated 1 year ago

tf_efficientnetv2_s.in21k_ft_in1k

Name: tf_efficientnetv2_s.in21k_ft_in1k
Author: timm

A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.

Params

20 M

Context

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Downloads 30d

1.6 M

Likes

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

Download history

daily snapshots · 10 days

1.6 M1.4 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	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

Parameters: 20 M
Tensor type: F32
Licence: apache-2.0
First seen on the Hub: 2022-12-13
Training datasets: imagenet-1k, imagenet-21k
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 resnet18.a1_in1k 1.9 M mit-b2 1.6 M

Appears in

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