How to convert binary file to pandas dataframe

I use Amazon Sagemaker for model training and prediction. I have a problem with the returned data with predictions. I am trying to convert prediction data to pandas dataframe format.

After the model is deployed:

from sagemaker.serializers import CSVSerializer xgb_predictor=estimator.deploy( initial_instance_count=1, instance_type='ml.g4dn.xlarge', serializer=CSVSerializer() )

I made a prediction on the test data:

predictions=xgb_predictor.predict(first_day.to_numpy())

But, returned prediction results are in a binary file. This is a sample returned predictions:

b'2.092024326324463\n10.584211349487305\n18.23127555847168\n2.092024326324463

How can I convert prediction data to pandas dataframe?