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CooperativeBeetle24
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2 Questions, 3 Answers
  Active since 25 March 2023
  Last activity one year ago

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Eureka!
0 Votes
2 Answers
966 Views
0 Votes 2 Answers 966 Views
Hi folks 👋 Went through the initial setup for ClearML Serving here and on running clearml-serving create --name "serving example" encountered this exception...
one year ago
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1 Answers
963 Views
0 Votes 1 Answers 963 Views
One for the backlog, in the ClearML Serving tutorial at the Registering & Deploying New Models Manually step, the code snippet given in 1. is clearml-serving...
one year ago
0 Hey Friends, How Do You Configure Clearml To Use An S3 Bucket? Specifically: Does

Maybe you've already seen this and it doesn't help but:
Based on ClearML's S3 setup guide , it looks like you can handle 1 and 2 with Boto3 and have config that sets the keys per session / profile so they would be picked up from a shared config file or aws config file. Not 100% sure if that will avoid the cred...

one year ago
0 Hi Folks

hadn't looked into it but it seems to be an issue because in numpy 1.20.0 they deprecated np.bool and np.int for simplicity. Don't think it's related to the CLI specifically but I did encounter it through CLI interaction. Looks like someone removed int before me but for some reason I still had it in my code.

None

one year ago
0 Hey Friends, How Do You Configure Clearml To Use An S3 Bucket? Specifically: Does

Glad I can help Eric!
More or less, it may not be the best (or a good at all) approach but it seems like a decent workaround.
You can read in the credentials in with Boto

session = boto3.Session(profile_name='some-profile')
dev_s3_client = session.client('s3')

from the shared config but yes you may need a separate script to update the values (which I don't think needs to necessarily use Boto) or maybe load the clearml.conf from a shared space (of course that adds other dependencies...

one year ago