# Hugging Face Transformers v4.26.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v4.26.0
- **Released:** Jan 25, 2023
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v4.26.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v4.26.0. Source highlight: The `generate` method has multiple arguments whose defaults were lying in the model config. We have now decoupled these in a separate generation config, which makes it easier to store different sets of parameters for a given model, with different generation strategies. While we will keep supporting 

## Breaking Changes & Deprecations
- Breaking a bit the one model per file policy, we introduce backbones (mainly for vision models) which can then be re-used in more complex models like DETR, MaskFormer, Mask2Former etc.

## New Features
- Add deprecation warning when image FE instantiated  by @amyeroberts in #20427
- Add AltCLIP  by @jongjyh in #20446
- Add BLIP  by @younesbelkada in #20716
- Add BioGPT  by @kamalkraj in #20420
- Add BiT + ViT hybrid  by @NielsRogge in #20550
- Add GIT (GenerativeImage2Text)  by @NielsRogge in #20295

## Bug Fixes
- fix cuda OOM by using single Prior  by @ArthurZucker in #20486
- Add ESM contact prediction  by @Rocketknight1 in #20535
- flan-t5.mdx: fix link to large model  by @szhublox in #20555
- Fix torch device issues  by @ydshieh in #20584
- Fix flax GPT-J-6B linking model in tests  by @JuanFKurucz in #20556
- [Vision] fix small nit on `BeitDropPath` layers  by @younesbelkada in #20587

## Upgrade Command
```bash
python -m pip install 'transformers==4.26.0'
```