I have no idea. Just started a ml.g4dn.xlarge instance, and followed the above steps using conda_pytorch_p36 kernel. Cloned and excuted. 403 Client error.
Could I be getting some sort of request limit block? The weird part is when I look in the endpoint logs it looks like it is executing the same download command and it works (i.e. the same beta warning appears but then the download executes fine).
Could there be some sort of permission set on the aws service level which prevents it from reaching the url? Though I believe 403 is a server side error so shouldn’t be something on my end?
I’ll keep trying, but I hope you’ll bear with me as I troubleshoot the approaches. We have lots of use cases for these models, but I’m getting errors everywhere I try, so you’ll see a few posts from me coming through