I would presume so, yes. I have managed to get a TensorFlow model working on Android / iOS using a very similar approach. I have to imagine it would have been possible with PyTorch as well. I do need to stress that I am not not up-to-date with PyTorch and mobile devices, so it is entirely possible that there exists an easier approach. I encourage you to do further research on your own just to be sure. However, checking the ONNX repository, this example should get you started: https://github.com/onnx/tutorials/blob/master/tutorials/PytorchCaffe2MobileSqueezeNet.ipynb 17