qhoenix/umber-plover

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) = 72269b5e9b80b6d9d9438ed9037eebef6759b6d99f3450ddb596a7b997ca49fd
  • 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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0.1B params
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F32
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