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Transformer-Explainability

Transformer-Explainability

by hila-chefer · GitHub

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

# attention-matrix# attention-visualization# bert# bert-model
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2k
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📜 License
MIT
Commercial use OK
📅 Created
2020
🔄 Last commit
2 yr ago
🏷️ Category
attention-matrix
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2 0072 005
2026-07-102026-07-22
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[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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What is Transformer-Explainability?

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Is Transformer-Explainability open source?

Transformer-Explainability is an open-source project. It is released under the MIT license.

Is Transformer-Explainability free?

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

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