Ok, a bit of work to get the older and more stable versions up and running. First and foremost, you'll need homebrew Then you'll need to use the version of python supported for the targeted release. The table for how to match up archival versions of tensorflow-macos and tensorflow-metal is near the bottom of this page. You can then use brew to install the legacy python brew install python@3.9 And then use that to create a virtual environment. Code follows for my install, though double check the location of your homebrew. /opt/homebrew/opt/python@3.9/bin/python3.9 -m venv ~/tensorflow source ~/tensorflow/bin/activate With the virtual environment created, you then need to get the urls for the old pip installs. Apple prohibits the linking of external urls on this forum, but you can look up tensorflow-macos and tensoflow-metal at pypi dot org and find their release history on the left side column. Then right click/command click the release. pip install is an acceptable way to install packages. Take care
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Machine Learning & AI
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General
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