Hi @<1582542029752111104:profile|GorgeousWoodpecker69> , you can simply use the boto3 native env vars, ClearML SDK will know how to pick them up (see here )
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I Am Using Vscode And S3 As My Output Directory, Which I Specify For The Task (Task.Init(Project_Name='Test', Task_Name="Test, Output_Uri="
I am using VSCode and S3 as my output directory, which i specify for the task (Task.init(project_name='test', task_name="test, output_uri=" None ")). The S3 connection properties are configured in my clearml.conf file. Now I want to run the same from Jupyter Notebook. Where can I specify the S3 connection and credentials, without having a config file?
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9 months ago
9 months ago
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