Pretrained weights for lucid.models.sk_resnet_18_cls.
Single ImageNet-1k checkpoint (RA_IN1K) converted from
timm/skresnet18.ra_in1k — Wightman's RandAugment recipe, hosted
under huggingface.co/lucid-dl/sk-resnet-18 with the official
acc@1 = 73.020 / acc@5 = 91.172 validation metrics.
Examples
>>> from lucid.models.vision.sknet._weights import SKResNet18Weights
>>> list(SKResNet18Weights.__members__)
['RA_IN1K', 'DEFAULT']
DEFAULT is an alias rather than a fourth entry, so a bare
pretrained=True and the tag it resolves to cannot drift apart.
>>> SKResNet18Weights.DEFAULT is SKResNet18Weights.RA_IN1K
True
>>> SKResNet18Weights.RA_IN1K.num_classes
1000