# Supporting ONNX optimized models

**URL:** <https://discuss.huggingface.co/t/supporting-onnx-optimized-models/891>\
**Category:** 🤗Transformers\
**Created:** [August 27, 2020, 4:06pm UTC](https://discuss.huggingface.co/t/supporting-onnx-optimized-models/891 "2020-08-27T16:06:29Z")\
**Posts on this page:** 1\
**Showing post:** 9

<div class="post-metadata">

**Author:** ![dataiku](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dataiku/32/2634_2.png) [@dataiku](https://discuss.huggingface.co/u/dataiku)\
**Post date:** [October 14, 2020, 9:46am UTC](https://discuss.huggingface.co/t/supporting-onnx-optimized-models/891/9 "2020-10-14T09:46:40Z")

</div>

Thanks for pointing it out to [[RFC] Transformers Pipeline v2](https://discuss.huggingface.co/t/rfc-transformers-pipeline-v2/1209). That’s good to know.

For (ii) is it possible to leverage Python class inheritance features to only add/override the methods which are necessary for ONNX?

---

_[View the full topic](https://discuss.huggingface.co/t/supporting-onnx-optimized-models/891)._
