# AutoTransformers Changelog

<!--
## v1.1.0 (202?-??-??)
#### Added

#### Changed

#### Fixed

#### Removed
-->


## v1.2.0 (2024-04-24)
#### Added
- Support for Python 3.11
- Support for Torch 2.2.x

#### Changed
- Updated minimum Python version to 3.10

### Removed
- Support for Python 3.7, 3.8 and 3.9


## v1.1.0 (2023-06-05)

### Added
- AutoTransformers can now be used to classify objects in images through the computer vision domain.
- AutoTransformers now support gradient clipping and gradient accumulation for training with FP16.
- Added MLM and PPB pre-training as well as fine-tuning tasks for documents.
- Added a new custom DeepOpinion Model: The DocumentModel (DocumentModelV4) that is more efficient and more accurate for Document Information Extraction as well as Document Classification.

### Changed
- AutoTransformers now support the new OCRWrapper 1.0.0. Therefore, the data format changed.
- Subsampling was removed from the document domain.
- The default hyperparameters for documents were improved.
- Use safetensors to store checkpoints as well as models


## v1.0.0 (2023-02-24)
The first version of AutoTransformers.