# Hugging Face Transformers v4.22.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v4.22.0
- **Released:** Sep 14, 2022
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v4.22.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v4.22.0. Source highlight: The Swin Transformer V2 model was proposed in Swin Transformer V2: Scaling Up Capacity and Resolution by Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo.

## Breaking Changes & Deprecations
- Fix breaking change in `onnxruntime` for ONNX quantization by @severinsimmler in #18336

## New Features
- Add swin transformer v2 by @nandwalritik in #17469
- Add VideoMAE by @NielsRogge in #17821
- Add Donut by @NielsRogge in #18488
- Add X-CLIP by @NielsRogge in #18852
- [LayoutLMv3] Add TensorFlow implementation by @ChrisFugl in #18678
- Add LayoutLMForQuestionAnswering model by @ankrgyl in #18407

## Improvements
- TF Examples Rewrite by @Rocketknight1 in #18451
- TF: XLA-trainable DeBERTa v2 by @gante in #18546

## Bug Fixes
- sentencepiece shouldn't be required for the fast LayoutXLM tokenizer by @LysandreJik in #18320
- Fix sacremoses sof dependency for Transformers XL by @sgugger in #18321
- Owlvit test fixes by @alaradirik in #18303
- [Flax] Fix incomplete batches in example scripts by @sanchit-gandhi in #17863
- start from 1.12, torch_ccl is renamed as oneccl_bindings_for_pytorch … by @sywangyi in #18229
- Update feature extractor docs by @stevhliu in #18324

## Upgrade Command
```bash
python -m pip install 'transformers==4.22.0'
```