ANGExllL/moss-crane

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

  • miner hotkey: 5DhtFUDenAuSzn3EVhjL29UFWJbT1MoUVAJ83Ft94biBy25e
  • on-chain hash: sha256(model.safetensors || hotkey) = afde77b258aa426c350594a0f3103d1d539e26557685950a306aab83e6f6f246
  • 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"))
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