Swin Transformer V2#
eqxvision.models.swin_v2_t(torch_weights: str = None, **kwargs: Any) -> SwinTransformer
#
Constructs a swin_v2_tiny architecture from Swin Transformer V2: Scaling Up Capacity and Resolution.
Arguments:
torch_weights
: APath
orURL
for thePyTorch
weights. Defaults toNone
eqxvision.models.swin_v2_s(torch_weights: str = None, **kwargs: Any) -> SwinTransformer
#
Constructs a swin_v2_small architecture from Swin Transformer V2: Scaling Up Capacity and Resolution.
Arguments:
torch_weights
: APath
orURL
for thePyTorch
weights. Defaults toNone
eqxvision.models.swin_v2_b(torch_weights: str = None, **kwargs: Any) -> SwinTransformer
#
Constructs a swin_v2_base architecture from Swin Transformer V2: Scaling Up Capacity and Resolution.
Arguments:
torch_weights
: APath
orURL
for thePyTorch
weights. Defaults toNone