ViT weight initialization, matching JAX (Flax) impl

ViT weight initialization, matching JAX (Flax) impl

ViT weight initialization, matching moco-v3 impl minus fixed PatchEmbed

ViT weight initialization, matching moco-v3 impl minus fixed PatchEmbed

List all directories at a given root Args: root (str): Path to directory whose folders need to be listed prefix (bool, optional):

List all directories at a given root Args: root (str): Path to directory whose folders need to be listed prefix (bool, optional):

List all files ending with a suffix at a given root Args: root (str): Path to directory whose folders need to be listed suffix (st

List all files ending with a suffix at a given root Args: root (str): Path to directory whose folders need to be listed suffix (st

Load a CLIP model Parameters ---------- name : str A model name listed by `clip.available_models()`, or the path to a model

Warning: does not synchronize the deque!

Warning: does not synchronize the deque!

Returns the tokenized representation of given input string(s) Parameters ---------- texts : Union[str, List[str]] An i

ViT-Base w/ LayerScale + 18 x 2 (36 block parallel) config. Experimental, may remove. Based on `Three things everyone should know about Vision Tr

ViT-Base w/ LayerScale + 18 x 2 (36 block parallel) config. Experimental, may remove. Based on `Three things everyone should know about Vision Tr

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k @ 224x224, source https://g

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k @ 224x224, source https://g

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k @ 224x224, source https://g

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k @ 224x224, source https://g

ViT-Base (ViT-B/16) /w DINO pretrained weights (no head) - https://arxiv.org/abs/2104.14294

ViT-Base (ViT-B/16) /w DINO pretrained weights (no head) - https://arxiv.org/abs/2104.14294

ViT-Base model (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-21k weights @ 224x224, source https://github.com/googl

ViT-Base model (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-21k weights @ 224x224, source https://github.com/googl

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K

ViT-Base (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). Weights taken from: https://github.com/Alibaba-MIIL/ImageNet21K

ViT-Base (ViT-B/16) w/ SAM pretrained weights. Paper: https://arxiv.org/abs/2106.01548

ViT-Base (ViT-B/16) w/ SAM pretrained weights. Paper: https://arxiv.org/abs/2106.01548

ViT-Base model (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k @ 384x384, source htt

ViT-Base model (ViT-B/16) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k @ 384x384, source htt

ViT-Base (ViT-B/16+)

ViT-Base (ViT-B/16+)

ViT-Base (ViT-B/16) w/ residual post-norm

ViT-Base (ViT-B/16) w/ residual post-norm

ViT-Base (ViT-B/32) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-1k weights fine-tuned from in21k, source https://github.com/