# Hugging Face Transformers v4.25.1 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v4.25.1
- **Released:** Dec 02, 2022
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v4.25.1/

## Executive Summary (TL;DR)
Hugging Face Transformers v4.25.1. Source highlight: PyTorch 2.0 stack support

## Breaking Changes & Deprecations
- Breaking changes * 🚨 🚨 🚨 Fix Issue 15003: SentencePiece Tokenizers Not Adding Special Tokens in `convert_tokens_to_string`  by @beneyal in #15775
- [Proposal] Breaking change `zero-shot-object-detection` for improved     consistency.  by @Narsil in #20280

## New Features
- Add Audio Spectogram Transformer  by @NielsRogge in #19981
- Add Jukebox model (replaces #16875)  by @ArthurZucker in #17826
- Add Switch transformers  by @younesbelkada and @ArthurZucker  in #19323
- Add RocBert  by @sww9370 in #20013
- Add CLIPSeg  by @NielsRogge in #20066
- Add Neighborhood Attention Transformer (NAT) and Dilated NAT (DiNAT) models  by @alihassanijr in #20219

## Improvements
- Improve backbone  by @NielsRogge in #20380
- [AutoBackbone] Improve API  by @NielsRogge in #20407

## Bug Fixes
- sticking to fixed shaped for now (so use `--pad_to_max_length` in our examples)
- 🚨 🚨 🚨 Fix Issue 15003: SentencePiece Tokenizers Not Adding Special Tokens in `convert_tokens_to_string`  by @beneyal in #15775
- add dataset  by @stevhliu in #20005
- Add BERT resources  by @stevhliu in #19852
- Add LayoutLMv3 resource  by @stevhliu in #19932
- fix typo  by @stevhliu in #20006

## Upgrade Command
```bash
python -m pip install 'transformers==4.25.1'
```