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+1. git-lfs is sufficient for tracking binaries, including a ML model, at that cadence.

Thinking more abstractly, there is benefit for code and data to live "next" to each other, if possible. Atomically committed to a codebase and the latter loaded / used by the former without connecting to yet another workflow.




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