| --- |
| license: apache-2.0 |
| library_name: torchvision |
| tags: [image-classification, adversarial-training, efficientnet, perturb, bittensor] |
| --- |
| |
| # Samonte/pertrub158 |
|
|
| EfficientNetV2-L (torchvision `efficientnet_v2_l`, 1000 ImageNet classes) fine-tuned with adversarial |
| training for the [Perturb](https://perturbai.io) subnet (netuid 26). |
|
|
| - miner hotkey: `5H8t4i1evmMSDvwQstyWrxGNTVP2ykakEahnpwg5SaDmaZxH` |
| - on-chain hash: sha256(model.safetensors || hotkey) = `2d8b029b34fdd26ea31e504ea935e0f69d74a98551a25a20a229156ca17b29be` |
| - preprocessing: `EfficientNet_V2_L_Weights.IMAGENET1K_V1.transforms()` (bicubic resize 480, center crop 480, mean = std = 0.5) |
|
|
| ```python |
| 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")) |
| ``` |
|
|
