Worked on enhancing Colab TPU support within the huggingface/accelerate repository by improving the Notebook Launcher’s ability to detect TPU availability. Addressed the launch process by incorporating the PJRT_DEVICE environment variable into the detection logic, ensuring more robust identification of TPUs in Colab environments. Simplified the messaging around TPU core counts to provide clearer, more actionable feedback for users. These updates, implemented in Python and leveraging expertise in deep learning and distributed systems, reduced setup friction and improved the reliability of TPU-enabled experiments. The work enabled smoother user experiences and faster experimentation for machine learning workflows using Colab TPUs.