1,054 models · refreshed nightly
Image classification models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | mobilenetv3_small_100.lamb_in1k | <0.1 M | — | ✓ apache-2.0 | 18.0 M | from 0.5 GB |
| 02 | efficientnet_b3.ra2_in1k | 10 M | — | ✓ apache-2.0 | 12.7 M | from 0.6 GB |
| 03 | vit-base-patch16-224 | 90 M | — | ✓ apache-2.0 | 7.2 M | from 0.9 GB |
| 04 | nsfw_image_detection | 90 M | — | ✓ apache-2.0 | 3.4 M | from 0.9 GB |
| 05 | resnet18.a1_in1k | 10 M | — | ✓ apache-2.0 | 2.0 M | from 0.6 GB |
| 06 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 1.9 M | from 0.6 GB |
| 07 | tf_efficientnetv2_s.in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 1.8 M | from 0.6 GB |
| 08 | gender-classification | 90 M | — | unknown | 1.4 M | from 0.9 GB |
| 09 | fairface_age_image_detection | 90 M | — | ✓ apache-2.0 | 1.2 M | from 2.4 GB |
| 10 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 950 K | from 0.9 GB |
| 11 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 777 K | from 0.9 GB |
| 12 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 746 K | from 0.5 GB |
| 13 | resnet50.ram_in1k | 30 M | — | ✓ apache-2.0 | 709 K | from 0.6 GB |
| 14 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 606 K | from 0.5 GB |
| 15 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 578 K | from 0.6 GB |
| 16 | resnet-50 | 30 M | — | ✓ apache-2.0 | 577 K | from 0.6 GB |
| 17 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 510 K | from 0.6 GB |
| 18 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 495 K | from 0.6 GB |
| 19 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 455 K | from 0.9 GB |
| 20 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 442 K | from 0.6 GB |
| 21 | swinv2-tiny-patch4-window16-256 | — | — | ✓ apache-2.0 | 410 K | — |
| 22 | wide_resnet50_2.racm_in1k | 70 M | — | ✓ apache-2.0 | 387 K | from 0.8 GB |
| 23 | AI-image-detector | — | — | ✓ cc-by-4.0 | 354 K | — |
| 24 | nsfw_image_detector | 90 M | — | ✓ mit | 336 K | from 0.7 GB |
| 25 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 280 K | from 0.9 GB |
| 26 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 274 K | from 0.5 GB |
| 27 | convnextv2-base-22k-384 | 90 M | — | ✓ apache-2.0 | 259 K | from 0.9 GB |
| 28 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 257 K | from 0.9 GB |
| 29 | vit-age-classifier | 90 M | — | unknown | 248 K | from 0.9 GB |
| 30 | plant-identity | 90 M | — | unknown | 245 K | from 0.9 GB |
| 31 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 241 K | from 0.5 GB |
| 32 | convnextv2_large.fcmae_ft_in22k_in1k_384 | 200 M | — | ✗ cc-by-nc-4.0 | 236 K | from 1.4 GB |
| 33 | vit_tiny_patch16_224.augreg_in21k_ft_in1k | 10 M | — | ✓ apache-2.0 | 197 K | from 0.5 GB |
| 34 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 190 K | from 0.5 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.