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paul hilders
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9fa77d1
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05b69fa
Add link to github
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app.py
CHANGED
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@@ -146,13 +146,13 @@ with demo_tabs:
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gr.Markdown("""
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### Acknowledgements
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This demo was developed for the Interpretability & Explainability in AI course at the University of
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Amsterdam. We would like express our thanks to Jelle Zuidema, Jaap Jumelet, Tom Kersten, Christos
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Athanasiadis, Peter Heemskerk, Zhi Zhang, and all the other TAs who helped us during this course.
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---
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### References
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\[1\]: Chefer, H., Gur, S., & Wolf, L. (2021). Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers.
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\[2\]: Abnar, S., & Zuidema, W. (2020). Quantifying attention flow in transformers. arXiv preprint arXiv:2005.00928. <br>
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\[3\]: https://samiraabnar.github.io/articles/2020-04/attention_flow <br>
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""")
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demo_tabs.launch(show_error=True)
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gr.Markdown("""
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### Acknowledgements
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This demo was developed for the Interpretability & Explainability in AI course at the University of
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Amsterdam. We would like to express our thanks to Jelle Zuidema, Jaap Jumelet, Tom Kersten, Christos
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Athanasiadis, Peter Heemskerk, Zhi Zhang, and all the other TAs who helped us during this course.
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---
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### References
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\[1\]: Chefer, H., Gur, S., & Wolf, L. (2021). Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers. <br>
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\[2\]: Abnar, S., & Zuidema, W. (2020). Quantifying attention flow in transformers. arXiv preprint arXiv:2005.00928. <br>
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\[3\]: [https://samiraabnar.github.io/articles/2020-04/attention_flow](https://samiraabnar.github.io/articles/2020-04/attention_flow) <br>
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""")
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demo_tabs.launch(show_error=True)
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