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Yes. Captum is a great library and a few of my colleagues have used it with good results in the past. Like you mention, most of the few examples that demonstrat
by vykthur 4y ago
Yes. Captum is a great library and a few of my colleagues have used it with good results in the past. Like you mention, most of the few examples that demonstrate gradient based explanation methods for Huggingface models typically focus on Pytorch models. The example here looks at things from the Tensorflow 2.0/Keras perspective.
One thing to note is that model agnostic SHAP can be resource intensive to compute , especially compared to gradient methods that require a single pass through the model for a datapoint.