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Ability to extract attention weights from various heads of transformer
Motivation
Plotting attention provides insights into the inner-workings and user behaviors that business teams can relate with. This is easily available with pytorch / Tensorflow.
Is there a way to convert the trained model to PT / TF models to capture the attention values?
The text was updated successfully, but these errors were encountered:
🚀 Feature request
Ability to extract attention weights from various heads of transformer
Motivation
Plotting attention provides insights into the inner-workings and user behaviors that business teams can relate with. This is easily available with pytorch / Tensorflow.
Is there a way to convert the trained model to PT / TF models to capture the attention values?
The text was updated successfully, but these errors were encountered: