PT to ONNX Converter

Convert PyTorch models to ONNX format for deployment across different frameworks and hardware.

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About This Tool

This online tool allows you to convert PyTorch models (saved as .pt or .pth files) to ONNX format. ONNX (Open Neural Network Exchange) is an open format for representing machine learning models, enabling interoperability between different frameworks. Upload your PyTorch model file, configure conversion options, and download the converted ONNX model ready for deployment. The conversion process maintains model architecture and weights while optimizing for ONNX runtime compatibility.

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How to Use

Upload your PyTorch model file (.pt or .pth format)
Configure conversion options (input shape, opset version, dynamic axes)
Click 'Convert to ONNX' to start the conversion
Download your converted ONNX model file
Verify the converted model using ONNX runtime or compatible frameworks

Frequently Asked Questions

Find Quick Answers

What PyTorch model formats are supported?

The tool supports PyTorch models saved in .pt or .pth formats. Both state_dict and full model saves are supported.

What ONNX opset version should I use?

We recommend opset version 13 or higher for best compatibility. The default is opset 13 which supports most PyTorch operations.

Can I convert models with dynamic input shapes?

Yes, you can specify dynamic axes in the conversion options. This allows the ONNX model to accept variable input sizes during inference.

How large of a model can I convert?

The tool can handle models up to 500MB. For larger models, consider using local conversion with PyTorch and ONNX directly.

Is my model data secure?

Yes, all file processing happens in a secure environment and files are automatically deleted after conversion. No model data is stored permanently.

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