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So, I Have Just Started Using Clearml For Local Data And Experiment Tracking And Its Been Super Helpful. Now That I Am Moving Towards Deploying And Serving The Models Using Clearml-Serving And Triton. I Have Done Some Basic Experimenting With The Provided

Suppose that a new model version 2 is trained, but it does not fulfill our target metrics, is it possible to just save the model to model repo and not serve it, if a model version 1 is already being served?

Sure, just do not "publish" the model, it will be stored in the model repository, fully accessible but the clearml-serving will not serve it 🙂

  
  
Posted 4 years ago
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AgitatedDove14
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