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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
Yeah! I just wanted to make sure that it made sense to tag the models for production use and then have them loaded right out of the model repository and into the production service. As I've looked around at the API it definitely seems to support that use case. Really stoked to start using it and introduce a more sane ML ops workflow at my workplace lol.
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3 years ago
one year ago