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examples/CoreML/ONNXLive/README.md

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@@ -56,7 +56,7 @@ For now, we'll just download pre-trained models with the script provided by the
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This script downloads the pre-trained PyTorch models and puts them into the `saved_models` folder.
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There should now be 4 files, `candy.pth`, `mosaic.pth`, `rain_princess.pth` and `udnie.pth` in your directory.
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## Converting the PyTorch models to the ONNX model format
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## Convert the PyTorch models to ONNX models
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Now that we have the pre-trained PyTorch models as `.pth` files in the `saved_models` folder, we will need to convert them to ONNX format.
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The model definition is in the pytorch/examples repository we cloned previously, and with a few lines of python we can export it to ONNX.

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