| title | order | snippet |
|---|---|---|
Native ONNX Support |
6 |
```python
import torch.onnx
import torchvision
dummy_input = torch.randn(1, 3, 224, 224)
model = torchvision.models.alexnet(pretrained=True)
torch.onnx.export(model, dummy_input, "alexnet.onnx")
```
|
Export models in the standard ONNX (Open Neural Network Exchange) format for direct access to ONNX-compatible platforms, runtimes, visualizers, and more.