# Hugging Face Transformers v4.18.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v4.18.0
- **Released:** Apr 07, 2022
- **Impact Score:** 5/10
- **Breaking Changes:** Not verified
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v4.18.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v4.18.0. Source highlight: You'll notice that we are starting to add several older models in vision. This is because those models are used as backbones in recent architectures. While we could rely on existing libraries for such pretrained models, we will ultimately need some support for those backbones in PyTorch/TensorFlow a

## New Features
- Add GLPN
- add VisionTextDualEncoder and CLIP fine-tuning script
- Add Document Image Transformer (DiT)
- Add DPT
- Add TF implementation of GPT-J
- Add TF ViT MAE

## Bug Fixes
- Fix doc links in release utils
- Fix a TF Vision Encoder Decoder test
- [Fix link in pipeline doc]
- Fix and improve REALM fine-tuning
- Freeze FlaxWav2Vec2 Feature Encoder
- The tests were not updated after the addition of `torch.diag`

## Upgrade Command
```bash
python -m pip install 'transformers==4.18.0'
```