How to save NGBoost Classifier after each Kth iteration?

[AbhishekKumarSingh]

import cloudpickle

def save_model_callback(ngb, iteration, train_loss, val_loss):
    if iteration % 10 == 0:
        with open(f'ngb_model_iteration_{iteration}.pkl', 'wb') as f:
            cloudpickle.dump(ngb, f)

# Initialize and train the NGBoost model with the callback
ngb = NGBClassifier(n_estimators=1000, verbose_eval=10)
ngb.fit(X_train, y_train, X_val=X_test, Y_val=y_test, callbacks=[save_model_callback])

Is there a way to use callbacks in the ngb.fit method? Because currently callbacks argument isn't supported. What's the workaround to save model after certain iteration?