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Learn how to effectively save and restore Flax NNX models using Orbax, the standard checkpointing library in the JAX ecosystem. Explore the fundamentals of NNX state management and understand how Orbax interacts with Flax NNX's Pythonic, stateful approach that feels closer to frameworks like PyTorch while maintaining all the advantages of JAX. Master the core concepts including what NNX state is, how Orbax is structured, and the complete workflow for saving and restoring a single, basic NNX model. Discover how NNX manages state and gain insights into advanced techniques for handling distributed training scenarios. This 13-minute tutorial from Google serves as the first part of a two-episode series, providing essential knowledge for developers working with JAX-based machine learning models who need reliable checkpointing solutions.
