ValueError: faster_rcnn_inception_v2 is not supported / ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

Hi, I'm trying to run this line of code in a virtual environment in the linux terminal:
python3 model_main.py --logtostderr --model_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
as per instructions from this tutorial here
but I get this error:

    raise ValueError('{} is not supported. See `model_builder.py` for features '
ValueError: faster_rcnn_inception_v2 is not supported. See `model_builder.py` 
for features extractors compatible with different versions of Tensorflow

I then found out that it is because I am attempting to train a tensorflow 1 model using tensorflow 2, so I tried to uninstall tensorflow 2 and re-install tensorflow 2 but got this error message:

ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: 2.2.0rc1, 
2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 
2.4.0rc0, 2.4.0rc1, 2.4.0rc2, 2.4.0rc3, 2.4.0rc4, 2.4.0, 2.4.1, 2.4.2, 2.5.0rc0, 2.5.0rc1, 2.5.0rc2, 2.5.0rc3, 2.5.0, 
2.6.0rc0, 2.6.0rc1)
ERROR: No matching distribution found for tensorflow==1.15

I also get the is error message as well:
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject
I complete every step in the tutorial with success but when I try to train the model I get a bunch of errors. I resolve one and get another.

Please help me with this issue.