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Inseq is a Pytorch-based hackable toolkit for interpretability of sequence generation models, supporting feature attribution methods and models from the Hugging Face Transformers library. It enables users to create, aggregate, and visualize attribution maps for tasks like translation, with features such as step score extraction and customized attribution functions.
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