[Python] How to load Sagemaker XGBoost model which was trained using (version = 'latest')...

There is an existing xgboost model in the pipeline that was created using this container

sagemaker.image_uris.retrieve('xgboost', sagemaker.Session().boto_region_name, version='latest')


output:

'{accountid}.dkr.ecr.us-east-1.amazonaws.com/xgboost:latest'


I extracted the model.tar.gz from the model artifact and loaded the xgboost-model file
but it gave this error

XGBoostError: basic_string::resize


I ran a shell script that loads the model using all the versions of XGBoost available but nothing worked.
I just want to check the feature importance using model.get_score.

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