optimum

Why we included this project

Training a model with Hugging Face libraries is one thing; getting it to run efficiently on the hardware you actually ship on is another. Optimum is the layer that handles that transition. It plugs into Transformers, Diffusers, TIMM, and Sentence-Transformers, so instead of hand-writing export scripts, quantization routines, and per-accelerator glue code, you work through one set of APIs. You can export to ONNX, apply quantization, and target backends like ONNX Runtime, Intel, Graphcore, or Habana hardware while keeping your training and inference loops close to what you already write. The accelerator-specific subpackages let you pull in only the dependencies you need for your chosen backend. Teams already deep in the Hugging Face workflow get a more direct route from working model to deployed model.