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title: README
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            Welcome to the working group <b>ONNXConfig for all</b>! 🤗 
            <br />
            <br />
            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! 
            <br />
            <br />
            Feel free to join me in this adventure! You can reach me directly on Discord: <b>ChainYo#3610</b>
            <br />
            <br />
            The full models list can be found on <a href="https://github.com/huggingface/transformers/issues/16308" style="text-decoration: underline;">this issue</a>.
            <br />
            <br />
            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. 
            <br />
            <br />
            If you need some help about implementing an unsupported model, here is a 
            <a 
            href="https://huggingface.co/docs/transformers/serialization#exporting-a-model-for-an-unsupported-architecture" style="text-decoration: underline;">guide</a> from HuggingFace's documentation.
            <br />
            <br />
            If you want an example of implementation, I did one for 
            <a href="https://github.com/huggingface/transformers/pull/14059" style="text-decoration: underline;">
            CamemBERT
            </a> some months ago.
            <br />
            <br />
            Have fun coding! 🎉🚀
        </p>
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