Deep Dive: Vision Transformers On Hugging Face Optimum Graphcore

Hugging Face Blog · 3 years ago

Hugging Face released pre-optimized Vision Transformer models in its Optimum library for Graphcore Intelligence Processing Units, enabling efficient fine-tuning of image classification models. The tutorial demonstrates training on the ChestX-ray14 dataset containing 112,120 X-ray images labeled with 14 common thorax diseases. Users can now fine-tune vision transformers on medical imaging tasks without training from scratch, reducing development time by leveraging pre-trained weights.