qhoenix/onyx-lark

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

• miner hotkey: 5Ebm5cRFAzkHGtq3myyvnL3w6GVSPrAy4LY6HSFMNdQLnomj
• on-chain hash: sha256(model.safetensors || hotkey) = 8816ad13451612f897b5efefa990720e18463737a73da8808923aa21ef250667
• 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"))