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Update app.py
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app.py
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@@ -6,6 +6,16 @@ from transformers import AutoTokenizer
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DESCRIPTION = """
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# Language Models for Taiwanese Culture
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Taiwan-LLaMa is a fine-tuned model specifically designed for traditional Chinese applications. It is built upon the LLaMa 2 architecture and includes a pretraining phase with over 5 billion tokens and fine-tuning with over 490k multi-turn conversational data in Traditional Chinese.
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## Key Features
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DESCRIPTION = """
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# Language Models for Taiwanese Culture
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<p align="center">
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✍️ <a href="https://huggingface.co/spaces/yentinglin/Taiwan-LLaMa2" target="_blank">Online Demo</a>
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•
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🤗 <a href="https://huggingface.co/yentinglin" target="_blank">HF Repo</a> • 🐦 <a href="https://twitter.com/yentinglin56" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/pdf/2305.13711.pdf" target="_blank">[Paper Coming Soon]</a>
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• 👨️ <a href="https://yentingl.com/" target="_blank">Yen-Ting Lin</a>
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<br/><br/>
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<img src="https://www.csie.ntu.edu.tw/~miulab/taiwan-llama/logo-v2.png" width="100"> <br/>
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</p>
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Taiwan-LLaMa is a fine-tuned model specifically designed for traditional Chinese applications. It is built upon the LLaMa 2 architecture and includes a pretraining phase with over 5 billion tokens and fine-tuning with over 490k multi-turn conversational data in Traditional Chinese.
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## Key Features
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