Add back from_transformers for base model by @echarlaix in #2288

ONNX export

• D-FINE support by @xenova in #2249
• ColPali support by @Balladie in #2251
• InternLM2 support by @gmf14 in #2244
• Chinese CLIP support by @xenova in #1591
• Qwen3 support by @IlyasMoutawwakil in #2278

New features & enhancements

• Add onnxslim support by @inisis in #2258
• Introduce ORTSessionMixin and enable general io binding by @IlyasMoutawwakil in #2234
• Fix and uniformize hub kwargs by @IlyasMoutawwakil in #2276
• Add compatibility with transformers 4.52 by @echarlaix in #2270
• Distribute and complete onnxruntime tests (decoder models) by @IlyasMoutawwakil in #2278
• Add ONNX Runtime optimization support for ModernBERT by @amas0 in #2208

New Contributors

• @inisis made their first contribution in #2258
• @Balladie made their first contribution in #2251
• @gmf14 made their first contribution in #2244
• @amas0 made their first contribution in #2208

• Fix ORT pipelines by @echarlaix in #2274

Full Changelog**: v1.25.2...v1.25.3

What's Changed

• Upgrade optimum-intel in setup extras by @echarlaix in #2271
• Match transformers behavior with return_dict by @IlyasMoutawwakil in #2269

Full Changelog: v1.25.1...v1.25.2

What's Changed

• Updated readme/pypi page by @IlyasMoutawwakil in #2268
• Fix bug ORTModelForFeatureExtraction by @Abdennacer-Badaoui in #2267
• Fix doc TPU section by @echarlaix in #2265

Full Changelog: v1.25.0...v1.25.1

🚀 New Features & Enhancements

• Add ONNX export support for ViTPose, RT-DETR, EfficientNet, Moonshine
• Infer if the model needs to be exported to ONNX during loading

  from optimum.onnxruntime import ORTModelForCausalLM

  model_id = "meta-llama/Llama-3.2-1B"
- model = ORTModelForCausalLM.from_pretrained(model_id, export=True)
+ model = ORTModelForCausalLM.from_pretrained(model_id)

• Transformers v4.49, v4.50 and v4.51 compatibility

👥 New Contributors

A huge thank you to our first-time contributors:

• @ruidazeng
• @ariG23498
• @janak2
• @qubvel
• @zhxchen17
• @xieofxie
• @EFord36
• @Thas-Tayapongsak
• @hans00
• @Abdennacer-Badaoui

What's Changed

Release Notes: Optimum v1.24.0

We’re excited to announce the release of Optimum v1.24.0. This update expands ONNX-based model capabilities and includes several improvements, bug fixes, and new contributions from the community.

🚀 New Features & Enhancements

• ORTQuantizer now supports models with ONNX subfolders.
• ONNX Runtime IO Binding support for all supported Transformers models (no models left behind).
• SD3 and Flux model support added to ORTDiffusionPipeline enabling latest diffusion-based models.
• Transformers v4.47 and v4.48 compatibility, ensuring seamless integration with the latest advancements in Hugging Face's ecosystem.
• ONNX export support extended to various models, including Decision Transformer, ModernBERT, Megatron-BERT, Dinov2, OLMo, and many more (see details).

🔧 Key Fixes & Optimizations

• Dropped support for Python 3.8
• Bug fixes in ModelPatcher, SDXL refiner export, and device checks for improved reliability.

👥 New Contributors

A huge thank you to our first-time contributors:

• @gabe-l-hart
• @ra9hur
• @bndos
• @mlynatom
• @LoSealL
• @sjrl
• @guangy10
• @LRL-ModelCloud
• @pragyandev

Your contributions make Optimum better! 🎉

For a detailed list of all changes, please check out the full changelog.

🚀 Happy optimizing!

What's Changed

• Add sentence-transformers and timm documentation example by @echarlaix in #2072
• Create token type ids when not provided by @echarlaix in #2081
• Add transformers v4.46 support by @echarlaix in #2078

• Fix compatibility with diffusers < 0.25.0 #2063 @echarlaix
• Update the habana extra #2077 @regisss

Full Changelog: v1.23.1...v1.23.2

• Fix doc build by @regisss in #2050
• Don't hardcode the logger level to INFO let users set TRANSFORMERS_VERBOSITY by @tomaarsen in #2047
• Add workflow to mark issues as stale by @regisss in #2051
• Fix onnx export when transformers >= v4.45 (impacting sentence-transformers and timm models) by @echarlaix in #2053 and #2054