Download dataset/condition_imageinput_vittiny/model.py from MTDoven/Recurrent-Parameter-Generation: direct link, hf CLI and curl.
- Browser
- Download file 382 Bytes
-
https://huggingface.co/MTDoven/Recurrent-Parameter-Generation/resolve/main/dataset/condition_imageinput_vittiny/model.py
- Command line
-
hf download hf://MTDoven/Recurrent-Parameter-Generation/dataset/condition_imageinput_vittiny/model.py
-
curl -L -o model.py https://huggingface.co/MTDoven/Recurrent-Parameter-Generation/resolve/main/dataset/condition_imageinput_vittiny/model.py
382 Bytes
| import torch | |
| import torch.nn as nn | |
| import timm | |
| def Model(): | |
| model = timm.create_model("vit_tiny_patch16_224", pretrained=True) | |
| model.head = nn.Linear(192, 2) | |
| return model, model.head | |
| if __name__ == "__main__": | |
| model, _ = Model() | |
| print(model) | |
| num_param = 0 | |
| for v in model.parameters(): | |
| num_param += v.numel() | |
| print("num_param:", num_param) |