# Burn ONNX

The `burn-onnx` crate enables seamless integration of pre-trained models from popular machine
learning frameworks into the Burn ecosystem via the ONNX format.

## ONNX Contributor Resources

- [ONNX to Burn conversion guide](https://burn.dev/books/contributor/guides/onnx-to-burn-conversion-tool.html) -
  Instructions for adding support for additional ONNX operators
- [ONNX tests README](https://github.com/tracel-ai/burn/blob/main/crates/burn-onnx/onnx-tests/README.md) -
  Testing procedures for ONNX operators
- [Supported ONNX Operators table](https://github.com/tracel-ai/burn/blob/main/crates/burn-onnx/SUPPORTED-ONNX-OPS.md) -
  Complete list of currently supported ONNX operators
