Hello! I'M Trying To Make A Simple Eval.Py Script That Will Go Pull The Best Model Of A Given Experiment, Load It Locally And Evaluate It On Whatever Data I Give. Question 1: Is There A Standard Way Documented Somewhere To Do This? Question 2: I'M Loadin

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Hi MistakenDragonfly51 , regarding your questions:
ClearML has a model repository built in. You can load an input model using InputModel module ( https://clear.ml/docs/latest/docs/references/sdk/model_inputmodel ). Also, you can fetch the models of an experiment using Task.get_models() - https://clear.ml/docs/latest/docs/references/sdk/task#get_models Can you elaborate on how this config looks in the UI when you view it?

  				
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