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inseq

Interpretability for sequence generation models 🐛 🔍

by inseq-team · GitHub
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attribution-methodscaptumdeep-learningApache-2.0Python
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Analyze how sequence generation models make decisions and understand their outputs better.

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2026-07-202026-08-31
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📄 About

Interpretability for sequence generation models 🐛 🔍

inseq has 475 stars on GitHub. It has been forked 41 times. inseq is written mainly in Python. It has been in active development since 2021. inseq is available under the Apache-2.0 license. Its main topics are attribution-methods, captum, deep-learning, explainable-ai.

Frequently asked questions

What is inseq?

Interpretability for sequence generation models 🐛 🔍

Is inseq open source?

inseq is an open-source project. It is released under the Apache-2.0 license.

Is inseq free?

Yes. inseq is free and open source — you can use, modify and self-host it.

What license does inseq use?

inseq is available under the Apache-2.0 license.

What language is inseq written in?

inseq is written mainly in Python.

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