Hugging Face has released a guide on using their transformers with Graphcore's Intelligence Processing Units (IPUs). The tutorial covers setting up the environment, loading models, and running inference. It also includes examples of using popular transformer models like BERT and RoBERTa. The goal is to make it easier for developers to use IPUs for natural language processing tasks. --- Why it matters: This matters because IPUs can accelerate certain AI workloads, such as NLP tasks, by providing a significant boost in performance compared to traditional CPUs or GPUs. By making Hugging Face transformers compatible with IPUs, developers can explore new possibilities for efficient and scalable AI inference. Source: https://huggingface.co/blog/graphcore-getting-started