# Hugging Face Transformers v5.4.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v5.4.0
- **Released:** Mar 27, 2026
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v5.4.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v5.4.0. Source highlight: Video Encoder-only Mask Transformer (VidEoMT) is a lightweight encoder-only model for online video segmentation built on a plain Vision Transformer (ViT). It eliminates the need for dedicated tracking modules by introducing a lightweight query propagation mechanism that carries information across fr

## Breaking Changes & Deprecations
- Breaking changes The dual `BaseImageProcessor`/`BaseImageProcessorFast` design has been replaced with a unified backend architecture, and the `image_processing_utils_fast` module has been removed — users should migrate to the new unified `image_processing_utils` module.

## New Features
- Add VidEoMT (#44285) by @NielsRogge in #44285
- [Model] Add UVDoc Model Support (#43385) by @XingweiDeng in #43385
- Add `Jina-Embeddings-V3` Model (#44251) by @Sai-Suraj-27 in #44251
- Add Mistral 4 (#44760) by @juliendenize in #44760
- Add model lerobot PI0 to transformers (#44160) by @molbap in #44160
- [Model] Add SLANeXt Model Support (#43707) by @liu-jiaxuan in #43707

## Improvements
- [Performance] FP8 Grouped and Batched Matmuls (#44231) by @IlyasMoutawwakil in [#44231]

## Bug Fixes
- Fix several based models' pipeline parallel support (#44699) by @hmellor in [#44699]
- Fix `supports_{tp/pp}_plan` (#44696) by @hmellor in [#44696]
- fix FSDP loading with meta devices (#44473) by @winglian in [#44473]
- Fix: Conditionally import `torch.distributed.fsdp` in `trainer_seq2seq.py` (#44507) by @0xDELUXA in [#44507]
- fix: split MXFP4 dependency checks for specific error messages (#44930) by @javierdejesusda in [#44930]
- Bump torchao >=0.15 and fix quantization CI (#44604) by @SunMarc in [#44604]

## Upgrade Command
```bash
python -m pip install 'transformers==5.4.0'
```