# Hugging Face Transformers v5.17.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v5.17.0
- **Released:** Sep 09, 2026
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v5.17.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v5.17.0. Source highlight: <img width="1503" height="827" alt="image" src="https://github.com/user-attachments/assets/e6ed85ee-eb1d-40eb-a0d4-c649f6337ca9" />

## Breaking Changes & Deprecations
- Breaking changes Vision rotary embeddings (2D/3D) have been standardized into a unified RoPE frequency computation module, so users with custom vision models relying on attention-layer-level or model-specific RoPE grid interleaving logic must migrate to the new centralized `modeling_rope_utils.py` implementation.

## New Features
- Add h4 (#48473) by @ArthurZucker in #48473
- Add NeoMME and NeoMME-Retriever (#47992) by @tonywu71 in #47992
- Add Fun-ASR-Nano model (#46180) by @LauraGPT in #46180
- model: Add NVIDIA Canary-1B-v2 to Transformers (#46825) by @harshaljanjani in #46825
- Add support for NeuCodec (#47143) by @harryjulian in #47143
- Add PR comment CI for AMD (MI300) (#48065)

## Improvements
- [Improvement] Make gated delta rule more explicit  (#47625)

## Bug Fixes
- Fix MTP generation test regex gate for escaped layer ignore keys (#48003) (#48262) by @Noxtimo in [#48262]
- fix(generation): Enforce the auto-compile cache check for encoder-decoder models (#48364) by @harshaljanjani in [#48364]
- [serge] Fix 4 integration tests for model `generation` failing with `output_mismatch` (list output differs (4)) (#48133) by @sergereview[bot] in [#48133]
- vibevoice: fix bug for quant cache (#48487) by @kaixuanliu in [#48487]
- Fix VoxtralRealtime rejecting non-static cache implementations (#48082) by @jiqing-feng in [#48082]
- Fix kernel commit and repo paths for ESMFold2 (#48186) by @Rocketknight1 in [#48186]

## Upgrade Command
```bash
python -m pip install 'transformers==5.17.0'
```