👋 hi @<1523701070390366208:profile|CostlyOstrich36> I am running a training pipeline of my model on a remote machine.

The way I do it, is through a cron job that triggers my API and then run a subprocess. The CLI of this subprocess launches the pipeline.

With something like

if __name__ == '__main__':
    args = parse_args(sys.argv)

    if args.is_local:
        PipelineDecorator.run_locally()

    execute_pipeline(...)

where execute_pipeline is decorated with PipelineDecorator.pipeline