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Hey there, I've recently tested your method via the implementation in the Inseq library and it produced very good preliminary results. are you considering contributing your method to a library like Captum?
It would be great to have your research code implemented into a widely used framework like Captum and I'm sure many people would try it given the rise of Transformers and that there seem to be too few attribution methods specifically for text models.
The text was updated successfully, but these errors were encountered:
Hi @MoritzLaurer, thanks for your comments. My codebase follows Captum implementations pretty closely, with some core changes on how the attribution calls are made and some preprocessing steps. But using the DIG attribution method requires one to also modify the forward function of the model (for e.g., here), which kind of makes it incompatible with other algorithms in Captum. Hence, I decided to not push this code to Captum.
Hey there, I've recently tested your method via the implementation in the Inseq library and it produced very good preliminary results. are you considering contributing your method to a library like Captum?
It would be great to have your research code implemented into a widely used framework like Captum and I'm sure many people would try it given the rise of Transformers and that there seem to be too few attribution methods specifically for text models.
The text was updated successfully, but these errors were encountered: