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For Those Using Clearml For Model Storage - Do You Use It Just For Storing Checkpoints During Training, Or Do You Also Use It As A Canonical Storage Location For Fully Trained Models? Like For Services Using These Models That Are Deployed To Production, D


For my own clarification, if I wanted to write a plugin that would listen for events to note when a model is set to is_ready and is a pytorch model, it runs some code to attempt to serialize it and then stores the new, serialized model in the model repository, would that be a Model Registry Store plugin?

  
  
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