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app.py
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@@ -47,8 +47,9 @@ MAX_NEW_TOKENS=1024
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DESCRIPTION = """\
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# Authorship Obfuscation with StyleRemix
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This Space demonstrates StyleRemix, a controllable and interpretable method for authorship obfuscation. At its core, it uses a Llama-3 model with 8B parameters and various LoRA adapters fine-tuned to rewrite text towards specific stylistic attributes (like text being longer or shorter). Feel free to play with it, or duplicate to run generations without a queue! If you want to run your own service, you can also deploy the model on [deploy the model on Inference Endpoints](https://huggingface.co/inference-endpoints).
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<br> 🕵️ Want to learn more? Check out our paper [here](
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<br> 🧐 Have questions about our work or issues with the demo? Feel free to email us at [email protected] and [email protected].
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"""
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import subprocess
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DESCRIPTION = """\
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# Authorship Obfuscation with StyleRemix
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This Space demonstrates StyleRemix, a controllable and interpretable method for authorship obfuscation. At its core, it uses a Llama-3 model with 8B parameters and various LoRA adapters fine-tuned to rewrite text towards specific stylistic attributes (like text being longer or shorter). Feel free to play with it, or duplicate to run generations without a queue! If you want to run your own service, you can also deploy the model on [deploy the model on Inference Endpoints](https://huggingface.co/inference-endpoints).
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<br> 🕵️ Want to learn more? Check out our paper [here](https://arxiv.org/abs/2408.15666v1) and our code [here](https://github.com/jfisher52/StyleRemix)!
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<br> 🧐 Have questions about our work or issues with the demo? Feel free to email us at [email protected] and [email protected].
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<br> <b>Disclaimer</b>: <em>We may collect and use your queries for further research and development purposes. The data collected will be anonymized and used to enhance our understanding of desired stylistic attributes when rewriting text.</em>
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"""
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import subprocess
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