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Answered
Hello Everybody, I Have A Quick Question, I Have Been Training Multiple Models And Have Reached A Point Where I Am Satisfied With A Model. How Do I Push My Model To S3 Server( Setup In The Clearml.Conf File)? Similar To What We Do When Pushing A Dataset

Hello Everybody,

I have a quick question, I have been training multiple models and have reached a point where I am satisfied with a model. How do I push my model to S3 server( setup in the clearml.conf file)? Similar to what we do when pushing a dataset with dataset.upload() and dataset.finalize()

  
  
Posted 2 months ago
Votes Newest

Answers 4


Hi @<1547028031053238272:profile|MassiveGoldfish6> , I think this is what you're looking for - None

  
  
Posted one month ago

Sorry, I wasnt clear. I already have everything set up correctly in the clearml.conf to work with S3. I know this works because when I push datasets, the data is stored in S3. It's just that every time I run an ML experiment, clearml is using my machine as storage which is fine for experiment tracking and comparison. The only problem is that other members of my team want to use my models but they cant since they cant pull it. How do I tell clearml to use the S3 storage for an experiment instead of my local machine? Or simpler, just push my best model to S3 for anyone on my team to use

  
  
Posted one month ago

@<1523701070390366208:profile|CostlyOstrich36> , wondering if my clarification made sense and if what I am describing is possible?

  
  
Posted one month ago

Hi @<1547028031053238272:profile|MassiveGoldfish6> , you would want to use the output_uri parameter of Task.init

  
  
Posted one month ago