Importing Models

The Burn project supports the import of models from various frameworks, emphasizing efficiency and compatibility. Currently, it handles two primary model formats:

1. ONNX: Facilitates direct import, ensuring the model's performance and structure are maintained.

2. PyTorch: Enables the loading of PyTorch model weights into Burn’s native model architecture, ensuring seamless integration.

Contribution

Interested in contributing to burn-import? Check out our development guide for more information.

lib.rs:

burn-import is a crate designed to simplify the process of importing models trained in other machine learning frameworks into the Burn framework. This tool generates a Rust source file that aligns the imported model with Burn's model and converts tensor data into a format compatible with Burn.