---
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"))
```