qhoenix/slate-heron

EfficientNetV2-L (torchvision efficientnet_v2_l, 1000 ImageNet classes) fine-tuned with adversarial training for the Perturb subnet (netuid 26).

• miner hotkey: 5FGxe3AFaJ3LsM5LJtxdBS8143WFEd9eNWVKErr29uV1K8wt
• on-chain hash: sha256(model.safetensors || hotkey) = cf646ad2d3d83147992faaca9ca4bd5a7c2242b9a11330aa6f7189095e0dbf5d
• preprocessing: EfficientNet_V2_L_Weights.IMAGENET1K_V1.transforms() (bicubic resize 480, center crop 480, mean = std = 0.5)

from safetensors.torch import load_file
from torchvision.models import efficientnet_v2_l
model = efficientnet_v2_l(weights=None)
model.load_state_dict(load_file("model.safetensors"))