IIRC, get_local_copy() downloads a local copy and returns the path to the downloaded file. So you might be interested in e.g.
local_csv = pd.read_csv(a_task.artifacts['train_data'].get_local_copy())
With the models, you're looking for get_weights() . It acts the same as get_local_copy() , so it returns a path.

EDIT: I think also get_local_copy() for a model should work 👍

HappyDove3 , Hi 🙂

I'm not sure I understand what you want to do. You want to get a local copy of your model file or you just want to play with the experiment and reproduce it 1:1 ?

I want to play with the experiment and reproduce it 1:1.
I managed to it with the advice of UnevenDolphin73 is there a different way to do it?

You can clone it via the UI, enqueue it to a queue that has a worker running against that queue. You should get a perfect 1:1 reproduction