Comments (2)
philschmid
commented on July 29, 2024
It seems that the error is coming from the sagemaker-sdk itself and was introduced in the past.
Could you open an issue in https://github.com/aws/sagemaker-python-sdk?
As a workaround, you could try installing sagemaker==2.48.0, since that's the version which we used for the workshop
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dilky-ascentic
commented on July 29, 2024
I was able to solve the issue by installing sagemaker==2.77.1 on Pytorch 1.10 Python 3.8 CPU Optimized notebook environment.
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Related Issues (6)
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