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README.md
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# INF-1600 AI Deployment workshop
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This workshop was developed for the _"Intro to Artificial Intelligence"_ course at UiT: The Arctic University of Norway in collaboration with Sopra Steria.
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In this workshop, you will get hands on experience with:
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20. Finally, we can then head over to our Hugging Face space and check if everything is working. My own app is hosted at [https://huggingface.co/spaces/andreped/ViT-ImageClassifier](https://huggingface.co/spaces/andreped/ViT-ImageClassifier).
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## License
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The code in this repository is released under [MIT license](https://github.com/andreped/INF1600-ai-workshop).
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# INF-1600 AI Deployment workshop
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[](https://github.com/raidionics/AeroPath/blob/main/LICENSE.md)
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<a target="_blank" href="https://huggingface.co/spaces/andreped/ViT-ImageClassifier"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a>
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This workshop was developed for the _"Intro to Artificial Intelligence"_ course at UiT: The Arctic University of Norway in collaboration with Sopra Steria.
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In this workshop, you will get hands on experience with:
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20. Finally, we can then head over to our Hugging Face space and check if everything is working. My own app is hosted at [https://huggingface.co/spaces/andreped/ViT-ImageClassifier](https://huggingface.co/spaces/andreped/ViT-ImageClassifier).
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## Bonus task for speedy bois and gals
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Based on this app, we have extended it to enable interpretation of the AI model. This technique is called Explainable AI (XAI).
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If you want, you can try to reproduce the steps above with [this other repo](https://github.com/andreped/vit-explainer).
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You can click the badge to access the deployed app on Hugging Face: <a target="_blank" href="https://huggingface.co/spaces/andreped/vit-explainer"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a>
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## License
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The code in this repository is released under [MIT license](https://github.com/andreped/INF1600-ai-workshop).
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