# Release of version 2.3.0 of the Transformers Extension

**URL:** <https://community.exasol.com/t/release-of-version-2-3-0-of-the-transformers-extension/235>\
**Category:** Product News\
**Tags:** integration, ai, udf\
**Created:** [October 10, 2025, 11:57am UTC](https://community.exasol.com/t/release-of-version-2-3-0-of-the-transformers-extension/235 "2025-10-10T11:57:52Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Marlene\_Kreß](https://avatars.discourse-cdn.com/v4/letter/m/ecb155/32.png) [@Marlene\_Kreß](https://community.exasol.com/u/Marlene_Kre%C3%9F)\
**Post date:** [October 10, 2025, 11:57am UTC](https://community.exasol.com/t/release-of-version-2-3-0-of-the-transformers-extension/235/1 "2025-10-10T11:57:52Z")

</div>

We released version **2.3.0** of the Transformers Extension on [Github](https://github.com/exasol/transformers-extension/releases/tag/2.3.0) and [Pypi](https://pypi.org/project/exasol-transformers-extension/).

The Exasol Transformers Extension allows you to use pre-trained machine learning models from 🤗 Hugging Face directly in your Exasol instance.  
It lets you install the models via the [transformers-api](https://github.com/huggingface/transformers) directly into Exasol’s file-system [BucketFS](https://docs.exasol.com/db/latest/database_concepts/bucketfs/bucketfs.htm), and use them on your data using provided UDF’s.

📝 **Summary**

Code name: Model utility UDF’s  
In this release we expanded on utility functionality for model management.  
We added UDF’s for listing and deleting Hugging Face models in the Exasol BucketFS, as well as reworked the way models can be installed.  
This makes managing the models installed in the Exasol BucketFS more convenient.  
We also updated and reorganized the [user guide](https://github.com/exasol/transformers-extension/blob/main/doc/user_guide/user_guide.md), to make your start with the Transformers Extension easier.  
Find the full changelog [here](https://github.com/exasol/transformers-extension/releases).