maxvit_t

torchvision.models.maxvit_t(*, weights: Optional[MaxVit_T_Weights] = None, progress: bool = True, **kwargs: Any) → MaxVit

Constructs a maxvit_t architecture from MaxViT: Multi-Axis Vision Transformer.

Parameters:

• weights (MaxVit_T_Weights, optional) – The pretrained weights to use. See MaxVit_T_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.maxvit.MaxVit base class. Please refer to the source code for more details about this class.

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