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PyTorch Image Models
https://github.com/rwightman/pytorch-image-models
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rwightman  new activity 3 days ago
timm/vit_huge_plus_patch16_dinov3.lvd1689m:Troubleshooting Dinov3 Model Loading Error
rwightman  updated a Space 4 days ago
timm/timmCAM
rwightman  updated a model 10 days ago
timm/efficientnet_x_b5.sw_r448_e450_in1k
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timm 's collections 20

timm DINOv3
Meta AI's DINOv3 weights in timm. ViTs with `qkvb` have a zero QV bias present, otherwise bias is disabled. QKV bias are all 0 in original weights.
Searching for Better ViT Baselines
Exploring ViT hparams and model shapes for the GPU poor (between tiny and base).
MobileNetV4 pretrained weights
Weights for MobileNet-V4 pretrained in timm
Fastest timm models > 80% Top-1 ImageNet-1k
Fastest image classification models with 80% accuracy in ImageNet-1k .
Fastest timm models > 86% ImageNet-1k Top-1
Fastest image classification models with 86% accuracy in ImageNet-1k .
Perception Encoder
OpenCLIP (PE Core image + text) and timm PE Core, Spatial, Lang (ViT only) weights. NOTE: These weights do not work with original modeling code.
MetaCLIP
MetaCLIP & MetaCLIP2 OpenCLIP and timm models. All models are dual timm + OpenCLIP (or just timm for specific vit encoders).
timm Top-20 ImageNet-1k Models
The 20 best models on ImageNet-1k validation set, all pretrained on datasets larger than ImageNet and fine-tuned on ImageNet-1k.
timm ImageNet-12k Models
timm has a number of unique and exclusive models trained on a 11821 (12k) subset of the full ImageNet-22k
Fastest timm models > 75.3% IN-1k Top-1 (Original ResNet-50)
Fastest image classification models with 75.3% accuracy in ImageNet-1k .
Fastest timm models > 88% ImageNet-1k Top-1
Fastest image classification models with 88% accuracy in ImageNet-1k .
timm DINOv3
Meta AI's DINOv3 weights in timm. ViTs with `qkvb` have a zero QV bias present, otherwise bias is disabled. QKV bias are all 0 in original weights.
Perception Encoder
OpenCLIP (PE Core image + text) and timm PE Core, Spatial, Lang (ViT only) weights. NOTE: These weights do not work with original modeling code.
Searching for Better ViT Baselines
Exploring ViT hparams and model shapes for the GPU poor (between tiny and base).
MetaCLIP
MetaCLIP & MetaCLIP2 OpenCLIP and timm models. All models are dual timm + OpenCLIP (or just timm for specific vit encoders).
MobileNetV4 pretrained weights
Weights for MobileNet-V4 pretrained in timm
timm Top-20 ImageNet-1k Models
The 20 best models on ImageNet-1k validation set, all pretrained on datasets larger than ImageNet and fine-tuned on ImageNet-1k.
timm ImageNet-12k Models
timm has a number of unique and exclusive models trained on a 11821 (12k) subset of the full ImageNet-22k
Fastest timm models > 75.3% IN-1k Top-1 (Original ResNet-50)
Fastest image classification models with 75.3% accuracy in ImageNet-1k .
Fastest timm models > 80% Top-1 ImageNet-1k
Fastest image classification models with 80% accuracy in ImageNet-1k .
Fastest timm models > 86% ImageNet-1k Top-1
Fastest image classification models with 86% accuracy in ImageNet-1k .
Fastest timm models > 88% ImageNet-1k Top-1
Fastest image classification models with 88% accuracy in ImageNet-1k .