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This repository was archived by the owner on May 19, 2026. It is now read-only.
Is there a particular pipeline needed to be executed to have model architecture be easily printable?
I would like to remove final classification head and append my own for fine-tuning on different dataset.
Hi!
When I try to execute model.summary() after loading weights in eval.py line 77, I get following error:
""
summary() missing 1 required positional argument: 'input_shape'
""
Is there a particular pipeline needed to be executed to have model architecture be easily printable?
I would like to remove final classification head and append my own for fine-tuning on different dataset.