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Hello there! Thank you for opening this issue and enjoying vetiver 👋
Before I look at a solution, are you able to give me a little more context on what models you are using and what the data looks like? I want to make sure I understand what users are doing and solve the right problem.
In the meantime, there are custom handlers that may make it possible to serve Tensorflow models currently.
I know that Posit (Rstudio) officially distributes tensorflow and keras packages.
Therefore, I think that vetiver should officially create a more powerful tensorflow (keras) related API before scikit-learn or pytorch.
Maybe it's because my Python programming skills aren't high enough to write a custom Handler.
I would be grateful if you could create a Handler for tensorlfow (keras).
Even if not, I will create a custom Handler using the method you suggested.
Thank you for creating and sharing a good package.
I would like you to develop a Model Handler for Tensorflow/Keras.
Thank you :)
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