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I am concerned with deploying the model in production. Looks like we can't just do a normal prediction on the loaded model but need to take care of the logic of few_shot_eval.eval_few_shot?
The text was updated successfully, but these errors were encountered:
In our method we don't use a few-shot head since we use a Nearest Class Mean approach.
Indeed, to deploy in production, you would need first to pass the images through your model, then use the following function .
We have a version which is more production-like for a demo in the following repository, you can check it to get an inspiration.
Are we also saving the few-shot head here?
I am concerned with deploying the model in production. Looks like we can't just do a normal prediction on the loaded model but need to take care of the logic of
few_shot_eval.eval_few_shot
?The text was updated successfully, but these errors were encountered: