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I don't think we've tested that. I wouldn't recommend it and I'm not sure it would work at all (you might just get an error).

At a minimum I would recommend the same approach as taking models from 3.0 to 3.1, which is to try them on your data and see if performance is maintained.

Is there a particular reason you'd want to be able to do this?

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@erotavlas
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@polm
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training Training and updating models
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