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I get following error when I try to load TFT model from file.
ValueError: The values of the hyper parameter categorical_embedding_sizes should be identical between the instantiated model (None) and the loaded checkpoint ({}). Please adjust the model accordingly.
To Reproduce
I just save trained model and load it from file.
And I get following error when I try to load model from file.
ValueError: The values of the hyper parameter categorical_embedding_sizes should be identical between the instantiated model (None) and the loaded checkpoint ({}). Please adjust the model accordingly.
This error is gone when I add following parameter to the model.
categorical_embedding_sizes={}
Expected behavior
System (please complete the following information):
Python version: 3.10
darts version: 0.25
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered:
Describe the bug
I get following error when I try to load TFT model from file.
ValueError: The values of the hyper parameter categorical_embedding_sizes should be identical between the instantiated model (None) and the loaded checkpoint ({}). Please adjust the model accordingly.
To Reproduce
I just save trained model and load it from file.
And I get following error when I try to load model from file.
ValueError: The values of the hyper parameter categorical_embedding_sizes should be identical between the instantiated model (None) and the loaded checkpoint ({}). Please adjust the model accordingly.
This error is gone when I add following parameter to the model.
categorical_embedding_sizes={}
Expected behavior
System (please complete the following information):
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered: