He begins by preparing the Jetson Nano with all the necessary tools, including installing and testing PyTorch. The concept and processes of tokenization, dataset preparation, and optimizing the Jetson ...

To utilize PyTorch, please use Python virtual environment on a CSIL Linux workstation. For best consistent user experience, please configure such virtual environment on network scratch space.

Install transformers and PyTorch: Install PyTorch first, ensuring it’s compatible with your GPU (CUDA or ROCm). Visit pytorch.org for specific installation commands.