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What's your workflow with cloud GPUs?
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What is your workflow when coding and developing ML models?
At this point I am aiming for the following setup:
- code things on my laptop in VSCode,
- debug the model with smaller hyperparameters on laptop's local GPU,
- upload code from laptop to github repository,
- login into LambdaLabs,
- run a script that downloads training data, clones the github repository and starts training.
I'm wondering if there is something more streamlined.
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