Help me understand a productive workflow
Hi, I'm new to running remote jobs in containers, and wondering what the recommended workflow would be if I want to code in my IDE locally and run all processing remotely
I was able to connect with jupyter running in vscode, but it seems I have to manually copy my files to the server. Is this the best way? Is there a flow that people generally follow when doing machine learning development / running models remotely ?
thank you
I was able to connect with jupyter running in vscode, but it seems I have to manually copy my files to the server. Is this the best way? Is there a flow that people generally follow when doing machine learning development / running models remotely ?
thank you
