I have trained a model 'Multilabel Predictor' in my local computer. I need to run a airflow pipeline to predict the data and store predictions in a table in redshift. The issue with the model stored in my computer is that the pickle file has the hardcore path of my computer (screenshot 1: first line of the pickle file), so when airflow tries to predict, theres an error that the path cannot be recognized. Due this situation, i've trained the same model in SageMaker and i stored it in a path of S3. When i try to predict the model (the one stored in s3), theres another error that botocore cant locate the credentials. (screenshot 2: logs error airflow).

Please, can you provide me any information of what can i do to do a airflow pipeline with the multilabel predictor of autogluon, i already did this for tabular predictor and it worked perfect.

Screenshot 1

Screenshot 2