# Hugging Face Transformers v4.56.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v4.56.0
- **Released:** Aug 29, 2025
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v4.56.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v4.56.0. Source highlight: DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings, without fine-tuning. DINOv3 produces high-quality dense features that achieve outstanding performance on various vision tasks, significantly surpassing previou

## Breaking Changes & Deprecations
- Breaking changes The following commits are breaking changes in workflows that were either buggy or not working as expected.
- The following commits are breaking changes in workflows that were either buggy or not working as expected.

## New Features
- Add Dino v3 by @qubvel in #40167
- Add X-Codec model  by @Manalelaidouni in #38248
- Add Ovis2 model and processor implementation  by @thisisiron in #37088
- Add MetaCLIP 2  by @NielsRogge in #39826
- Add support for Florence-2  by @ducviet00 in #38188
- Add Segment Anything 2 (SAM2)  by @SangbumChoi in #32317

## Bug Fixes
- Fix MXFP4 quantizer validation to allow CPU inference with dequantize option  by @returnL in #39953
- Fix typo and improve GPU kernel check error message in MXFP4 quantization  by @akintunero in #40349)
- Fix GPT-OSS `swiglu_limit` not passed in for MXFP4  by @danielhanchen in #40197
- :rotating_light: [`Flash Attention`] Fix sliding window size  by @vasqu in #40163
- [CI] post-`GptOss` fixes for green CI  by @gante in #39929
- Avoid `utils/check_bad_commit.py` failing due to rate limit (requesting  `api.github.com`)  by @ydshieh in #39918

## Upgrade Command
```bash
python -m pip install 'transformers==4.56.0'
```
