It's going to perform badly unless you have very few tags and it's easy to class... | Hacker News

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		weird-eye-issue 5 months ago \| parent \| context \| favorite \| on: Gemma 3 270M: Compact model for hyper-efficient AI It's going to perform badly unless you have very few tags and it's easy to classify them

AJRF 5 months ago [–]

You can solve this by training a model per taxonomy, then wrap the individual models into a wrapper model to output joint probabilities. The largest amount of labels I have in a taxonomy is 8.

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