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@@ -28,6 +28,7 @@ ArXiv paper: coming soon
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  - **Reward models:** [rrivera1849/LUAR-MUD](https://huggingface.co/rrivera1849/LUAR-MUD) & [Alibaba-NLP/gte-large-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5)
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  - **Finetuned from model:** [philippelaban/keep_it_simple](https://huggingface.co/philippelaban/keep_it_simple)
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  - **Dataset:** [Yelp/yelp_review_full](https://huggingface.co/datasets/Yelp/yelp_review_full)
 
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  ## Example use
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  ```python
 
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  - **Reward models:** [rrivera1849/LUAR-MUD](https://huggingface.co/rrivera1849/LUAR-MUD) & [Alibaba-NLP/gte-large-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5)
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  - **Finetuned from model:** [philippelaban/keep_it_simple](https://huggingface.co/philippelaban/keep_it_simple)
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  - **Dataset:** [Yelp/yelp_review_full](https://huggingface.co/datasets/Yelp/yelp_review_full)
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+ - **Repository:** https://github.com/hornetsecurity/tarot
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  ## Example use
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  ```python