# Hugging Face Transformers v4.48.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v4.48.0
- **Released:** Jan 10, 2025
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v4.48.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v4.48.0. Source highlight: The ModernBert model was proposed in Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference by Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Galalgher, Raja Bis

## Breaking Changes & Deprecations
- Breaking changes ### Conversion scripts
- This PR finalizes work that aimes to enable short-form (< 30 secs) and long-form generation using temperature fallback. It is a significant improvement to the whisper codebase, but it does result in the following breaking changes:

## New Features
- Add ModernBERT to Transformers  by @warner-benjamin in #35158
- Add Aria  by @aymeric-roucher in #34157
- Add TimmWrapper  by @qubvel and @amyeroberts in #34564
- Add ColPali to 🤗 transformers  by @tonywu71 and @yonigozlan in #33736
- Add Falcon3 documentation  by @mokeddembillel in #35307
- Add the Bamba Model  by @fabianlim in #34982

## Improvements
- GeGLU Replacing the original MLP layers with GeGLU layers, shown to improve performance.
- and improved performances.
- Translating "translate perf_infer_gpu_multi.md" to Chinese (#35271)

## Bug Fixes
- [Whisper] 🚨 Fix whisper decoding 🚨  by @eustlb in #34135
- Pipeline: simple API for assisted generation by @gante and @Rocketknight1 #34504
- [tokenizers] Ensure that add_prefix_space is propagated to backend_tokenizer.pre_tokenizer (#35593)
- Setup loss_type in config at model init time (#34616)
- [docs] Update Python version in translations  by @jla524 in #35096
- [docs] top_p, top_k, temperature docstrings  by @stevhliu in #35065

## Upgrade Command
```bash
python -m pip install 'transformers==4.48.0'
```