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PyTorch Image Models
https://github.com/rwightman/pytorch-image-models
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rwightman  updated a model 21 days ago
timm/vit_small_plus_patch16_dinov3_qkvb.lvd1689m
rwightman  updated a model 21 days ago
timm/vit_small_plus_patch16_dinov3.lvd1689m
rwightman  updated a model 21 days ago
timm/vit_small_patch16_dinov3_qkvb.lvd1689m
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timm

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PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders / augmentations, and reference training / validation scripts that aim to pull together a wide variety of SOTA models with ability to reproduce ImageNet training results.

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.
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.
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.
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