\n Inseq\n 🐛 is a Pytorch-based hackable toolkit to democratize access to common post-hoc interpretability analyses for \n decoder-only and encoder-decoder sequence generation models.
\n The Inseq organization on the 🤗 Hub aims to host valuable models, datasets and demos to improve the \n reproducibility of interpretability studies in the field of natural language generation. \n
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Interpretability for Generative Language Models 🔎 🐛
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Inseq
🐛 is a Pytorch-based hackable toolkit to democratize access to common post-hoc interpretability analyses for
decoder-only and encoder-decoder sequence generation models.
The Inseq organization on the 🤗 Hub aims to host valuable models, datasets and demos to improve the
reproducibility of interpretability studies in the field of natural language generation.