Hugging Face has released a tutorial on fine-tuning the Vision Transformer (ViT) model for image classification tasks. The tutorial uses the 🤗 Transformers library and provides step-by-step instructions on how to adapt ViT to specific datasets and improve its performance. According to Hugging Face, fine-tuning pre-trained models like ViT can significantly reduce training time and improve results compared to training from scratch. --- Why it matters: This matters because it shows researchers and engineers how to efficiently adapt a powerful pre-trained model for image classification tasks, which is crucial in areas like computer vision and deep learning. Source: https://huggingface.co/blog/fine-tune-vit