Tensorflow version mismatch

[ender18g]

I have a car with the latest version of Donkey Car. It runs tensorflow 2.2

However, when I run the colab script, it is creating a model with tensorflow 2.5.

I am able to create the model, mypilot.h5, download it, and transfer it to my car.

However when I start the car and load the model:
python3 manage.py drive --model ./models/mypilot.h5

I get the following error:

"get_model_by_type" model Type is: linear
Created KerasLinear
loading model ./models/mypilot.h5
Loading model ./models/mypilot.h5
Traceback (most recent call last):
  File "manage.py", line 719, in <module>
    meta=args['--meta'])
  File "manage.py", line 418, in drive
    load_model(kl, model_path)
  File "manage.py", line 383, in load_model
    kl.load(model_path)
  File "/home/pi/projects/donkeycar/donkeycar/parts/keras.py", line 50, in load
    self.model = keras.models.load_model(model_path, compile=False)
  File "/home/pi/env/lib/python3.7/site-packages/tensorflow/python/keras/saving/save.py", line 184, in load_model
    return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)
  File "/home/pi/env/lib/python3.7/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 178, in load_model_from_hdf5
    custom_objects=custom_objects)
  File "/home/pi/env/lib/python3.7/site-packages/tensorflow/python/keras/saving/model_config.py", line 55, in model_from_config
    return deserialize(config, custom_objects=custom_objects)
  File "/home/pi/env/lib/python3.7/site-packages/tensorflow/python/keras/layers/serialization.py", line 109, in deserialize
    printable_module_name='layer')
  File "/home/pi/env/lib/python3.7/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 362, in deserialize_keras_object
    config, module_objects, custom_objects, printable_module_name)
  File "/home/pi/env/lib/python3.7/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 321, in class_and_config_for_serialized_keras_object
    raise ValueError('Unknown ' + printable_module_name + ': ' + class_name)
ValueError: Unknown layer: Functional

I have tried setting Google Colab to match tensorflow versions:

%tensorflow_version 2.2

But I can't set 2.2.. I'm stuck with the latest version, tensorflow 2.5:

%tensorflow_version` only switches the major version: 1.x or 2.x.
You set: `2.2`. This will be interpreted as: `2.x`.


TensorFlow 2.x selected.

Any suggestions on how to either A) Set tensorflow v 2.2 on google colab, or B) allow my car to read a model created with tensorflow 2.5?

Thanks!