Hi IrritableGiraffe81
Can you share a code snippet ?
Generally I would trytask = Task.init(..., auto_connect_frameworks={"pytorch': False, 'tensorflow': False)
Thanks Martin, your suggestion solves the problem.
👍
Hi there,
I have a batch prediction Task that load a model published on ClearML.input_model = InputModel(model_id=model_id) model_path = input_model.get_local_copy()
The problem is that every time it finish the batch prediction, ClearML upload the model again (see the image)
This creates a lot of entries in the models page.
How can I avoid this?
Hi IrritableGiraffe81
Can you share a code snippet ?
Generally I would trytask = Task.init(..., auto_connect_frameworks={"pytorch': False, 'tensorflow': False)
Thanks Martin, your suggestion solves the problem.
👍