File size: 2,032 Bytes
5699884 c1eaf90 5699884 c1eaf90 196fdb8 56986f3 c1eaf90 56986f3 1fdbe8f a34b712 0751c9c d774038 56986f3 c1eaf90 f8962a6 8e6e97d 56986f3 c1eaf90 f8962a6 c1eaf90 56986f3 8e6e97d c1eaf90 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
title: README
emoji: 👀
colorFrom: grey
colorTo: white
sdk: static
pinned: false
---
<div class="grid lg:grid-cols-3 gap-x-4 gap-y-7">
<div class="lg:col-span-3">
<p class="mb-4">
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>
</div>
</div>
|