Passing a trained model to another function in airflow

Question

So I want to use airflow to display my model training. I created a model in a python function and now I want to pass it to another function which will train it. I am currently trying to pass it via xcom, but then I get the error:

INFO - Done. Returned value was: <keras.wrappers.scikit_learn.KerasClassifier object at 0x7fce52713940>
[2022-04-27, 10:18:37 CEST] {xcom.py:447} 
ERROR - Could not serialize the XCom value into JSON.

How do I pass the model to the other function?
This is a part of my code:

def create_model():
    # create model
    model = Sequential()
    model.add(Dense(12, input_dim=8, activation='relu'))
    model.add(Dense(1, activation='sigmoid'))
    # Compile model
    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
    model = KerasClassifier(build_fn=create_model, verbose=0)
    

    return model

def trainModel(ti):
    
    model=ti.xcom_pull(task_ids='create_model')
    
    X,Y= ti.xcom_pull(task_ids='loadData')
    batch_size = 10
    epochs = 10

    model.fit(X,Y,
        steps_per_epoch=batch_size,
        epochs=epochs,
    )

    #model.save(model_file_name)
    return model
create_model_task=PythonOperator(
    task_id='create_model',
    python_callable=create_model,
    provide_context= True,
    dag=MODEL_DAG
)
trainModel_Task=PythonOperator(
    task_id='trainModel',
    python_callable=trainModel,
    provide_context= True,
    dag=MODEL_DAG
)