vit_b_32

torchvision.models.vit_b_32(*, weights: Optional[ViT_B_32_Weights] = None, progress: bool = True, **kwargs: Any) → VisionTransformer

Constructs a vit_b_32 architecture from An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Parameters:

• weights (ViT_B_32_Weights, optional) – The pretrained weights to use. See ViT_B_32_Weights below for more details and possible values. By default, no pre-trained weights are used.

• progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.

• **kwargs – parameters passed to the torchvision.models.vision_transformer.VisionTransformer base class. Please refer to the source code for more details about this class.

class torchvision.models.ViT_B_32_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)