# How to best version a model after retraining?

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhow-to-best-version-a-model-after-retraining%2F23705%3E%5C
**Category:** Models\
**Created:** [September 28, 2022, 6:32am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhow-to-best-version-a-model-after-retraining%2F23705 "2022-09-28T06:32:29Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![michaelwechner](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/michaelwechner/32/5514_2.png) [@michaelwechner](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmichaelwechner)%5C
**Post date:** [September 28, 2022, 6:32am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhow-to-best-version-a-model-after-retraining%2F23705%2F1 "2022-09-28T06:32:29Z")

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We recently published a model [https://huggingface.co/Wyona/message-classification-question-other-smalltalk-modified](https://huggingface.co/Wyona/message-classification-question-other-smalltalk-modified) and we would like to retrain it continuously with an updated dataset to improve it. How do we best version the model after retraining, such that people can use a particular version, instead of using the latest version, which might not perform as a previous version?

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**Author:** ![michaelwechner](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/michaelwechner/32/5514_2.png) [@michaelwechner](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fmichaelwechner)%5C
**Post date:** [September 28, 2022, 7:23am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhow-to-best-version-a-model-after-retraining%2F23705%2F2 "2022-09-28T07:23:49Z")

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Just got answered on [Discord](https://discord.com/channels/879548962464493619/1024567195830861895/1024572991901814854) resp. the answer is:

You can use git tags and just use the same repo if you don’t want to create multiple ones

 ![Bildschirmfoto 2022-09-28 um 09.12.02](https://us1.discourse-cdn.com/hellohellohello/original/2X/5/55a81d63677df9f1a9b44d0299690e3d8d61b644.jpeg)

You can also add tags programmatically using the `huggingface_hub` library

`Repository.add_tag`