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