Thanks SmallDeer34 , I think you are correct, the 'output' model is returned properly, but "input" are returned as model name not model object.
Let me check something

Martin I found a different solution (hardcoding the parent tasks by hand), but I'm curious to hear what you discover!

` {'input': ['Input Model #0'], 'output': [<clearml.model.Model object at 0x7f6d7d6a2750>,
...omitted some here
<clearml.model.Model object at 0x7f6d7d4b1350>]}
Input Model #0

AttributeError Traceback (most recent call last)

<ipython-input-83-65009a52f91b> in <module>()
22
23
---> 24 pretraining_task_id = input_model.task
25 print(f"pretraining_task_id {pretraining_task_id}")
26 task_dict["pretraining_task_id"] = pretraining_task_id

AttributeError: 'str' object has no attribute 'task' `

So for example, I'm able to view in the UI that my finetuning task 7725f5bed94848039c68f2a3a573ded6 has an input model, and I can find the creating experiment for that. But how would I do this in code?

the parent task ids is what I originally wanted, remember?

ohh I missed it 😄

the parent task ids is what I originally wanted, remember?

I did it the hard way

SmallDeer34 the function Task.get_models() incorrectly returned the input model "name" instead of the object itself. I'll make sure we push a fix.

I found a different solution (hardcoding the parent tasks by hand),

I have to wonder, how does that solve the issue ?

¯_(ツ)_/¯

This was only a means to that end