How to Run Jupyter Notebooks on an Apple M1 Mac
Blog post from Roboflow
Running Jupyter notebooks on an Apple M1 Mac involves installing Apple's command line tools if Python is missing, creating a virtual environment, and pip installing JupyterLab within it, which works on all Apple Silicon chips. The setup process also enables GPU acceleration for TensorFlow and PyTorch using tensorflow-metal and MPS, respectively, facilitating experimentation and small-scale model fine-tuning locally, while heavier training tasks are better suited for dedicated GPUs. The guide also addresses common errors such as system Python conflicts and outdated kernel-patch advice, emphasizing the use of isolated environments and the advantages of using JupyterLab over the classic notebook interface. Additionally, it highlights the convenience of integrating with platforms like Roboflow for extended computer vision tasks and dataset management.
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