ONNXConfig for all
AI & ML interests
Make all hub models available for conversion to ONNX format.
Welcome to the working group ONNXConfig for all! 🤗
We are looking for contributing to HuggingFace's ONNX implementation for all available
models on the HF's hub. There is already a lot of architectures implemented for converting PyTorch models
to ONNX, but we need more! We need them all!
Feel free to join me in this adventure! You can reach me directly on Discord: ChainYo#3610
The full models list can be found on this issue.
If there is a ✅ next to a model, it means that the model is already supported by ONNX. A 🛠️ next to a model means that the PR is in progress and finally if
there is nothing next to a model, it means that the model is not yet supported by ONNX and thus we need to add support for it.
If you need some help about implementing an unsupported model, here is a
guide from HuggingFace's documentation.
If you want an example of implementation, I did one for
CamemBERT
some months ago.
Have fun coding! 🎉🚀