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transformers-interpret
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transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

by cdpierse · GitHub
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captumcomputer-visiondeep-learningApache-2.0Jupyter Notebook
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In plain words

Understand how your AI models make decisions with just two lines of code for explanations.

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1 4171 416
2026-07-202026-08-31
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📄 About

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

transformers-interpret has 1.4k stars on GitHub. It has been forked 100 times. transformers-interpret is written mainly in Jupyter Notebook. It has been in active development since 2020. transformers-interpret is available under the Apache-2.0 license. Its main topics are captum, computer-vision, deep-learning, explainable-ai.

Frequently asked questions

What is transformers-interpret?

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Is transformers-interpret open source?

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

Is transformers-interpret free?

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

What license does transformers-interpret use?

transformers-interpret is available under the Apache-2.0 license.

What language is transformers-interpret written in?

transformers-interpret is written mainly in Jupyter Notebook.

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