These models both assume that the data is fed to them in a matrix with the following columns:

"Ductal or not (1/0)", "Multifocal (1/0)", "Invasion (1/0)", "ER percentage (number 0-100)", "Metastasis positive SLNs (number) * tumor diameter (mm)",
"Metastasis positive SLNs (number)", "Tumor diameter (mm)"

The xgboost model file can be loaded in python with:
model = xgb.XGBClassifier()
model.load('2019-10-15_xgboost_node_classifier.model')