# Export a Pytorch model to LiteRT > > > The recommended approach to convert pytorch to Litert is: PyTorch > ONNX > TensorFlow (SavedModel) > LiteRT ## Export the Pytorch model to ONNX import torch model.eval() dummy_input = torch.randn(1, 3, 224, 224) torch.onnx.export(model, dummy_input, "model.onnx", opset_version=13, input_names=["input"], output_names=["output"], do_constant_folding=True) Copy to clipboard Once the model has been converted to ONNX, follow the instructions in [Export ONNX model to a LiteRT](https://docs.qualcomm.com/doc/80-80022-15B/topic/export-onnx-model-to-litert.html). Last Published: Jun 23, 2026 [Previous Topic Export ONNX model to a LiteRT](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/export-onnx-model-to-litert.md) [Next Topic Benchmark a LiteRT model](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/benchmark-a-litert-model.md)