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convert pytorch pth to onnx
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=TzsZbKbm0_c
Download this code from https://codegive.com • Sure, here's an informative tutorial on converting a PyTorch model saved in a .pth file to ONNX format. ONNX (Open Neural Network Exchange) is an open format for representing deep learning models, allowing interoperability between different frameworks. • Make sure you have PyTorch and ONNX installed in your Python environment. You can install them using the following commands: • First, you need to load your PyTorch model from the .pth file. For this example, let's assume you have a model named my_model.pth. Replace it with your model file. • Create a sample input tensor that matches the input shape expected by your model. • Now, convert the PyTorch model to the ONNX format. • You can use the ONNX tools to check the validity of the exported model: • That's it! You have successfully converted a PyTorch model to the ONNX format. You can now use this ONNX model with other frameworks that support the ONNX format, such as TensorFlow. • ChatGPT
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