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@@ -7,7 +7,7 @@ Zhang Li*, Biao Yang*, Qiang Liu, Zhiyin Ma, Shuo Zhang, Jingxu Yang, Yabo Sun,
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  <strong>Huazhong University of Science and Technology, Kingsoft</strong>
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  </div>
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  <p align="center">
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- <a href="https://arxiv.org/abs/2311.06607">Paper</a>&nbsp&nbsp | &nbsp&nbsp<a href="http://27.17.252.152:7680/">Demo</a>&nbsp&nbsp | &nbsp&nbsp<a href="http://27.17.252.152:7681/">Demo_chat</a>&nbsp&nbsp | &nbsp&nbsp<a href="http://huggingface.co/datasets/echo840/Detailed_Caption">Detailed Caption</a>&nbsp&nbsp | &nbsp&nbsp<a href="http://huggingface.co/echo840/Monkey">Model Weight</a>&nbsp&nbsp | <a href="https://www.wisemodel.cn/models/HUST-VLRLab/Monkey/">Model Weight in wisemodel</a>&nbsp&nbsp
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  <!-- | &nbsp&nbsp<a href="Monkey Model">Monkey Models</a>&nbsp | &nbsp <a href="http://huggingface.co/echo840/Monkey">Tutorial</a> -->
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  </p>
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@@ -36,9 +36,6 @@ pip install -r requirements.txt
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  ## Demo
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- [Demo](http://27.17.252.152:7680/) is fast and easy to use. Simply uploading an image from your desktop or phone, or capture one directly.
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- [Demo_chat](http://27.17.252.152:7681/) is also launched as an upgraded version of the original demo to deliver an enhanced interactive experience.
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-
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  Before 14/11/2023, we have observed that for some random pictures Monkey can achieve more accurate results than GPT4V.
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  <strong>Huazhong University of Science and Technology, Kingsoft</strong>
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  </div>
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  <p align="center">
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+ <a href="https://arxiv.org/abs/2311.06607">Paper</a>&nbsp&nbsp | &nbsp&nbsp<a href="http://huggingface.co/datasets/echo840/Detailed_Caption">Detailed Caption</a>&nbsp&nbsp | &nbsp&nbsp<a href="http://huggingface.co/echo840/Monkey">Model Weight</a>&nbsp&nbsp | <a href="https://www.wisemodel.cn/models/HUST-VLRLab/Monkey/">Model Weight in wisemodel</a>&nbsp&nbsp
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  <!-- | &nbsp&nbsp<a href="Monkey Model">Monkey Models</a>&nbsp | &nbsp <a href="http://huggingface.co/echo840/Monkey">Tutorial</a> -->
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  </p>
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  ## Demo
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  Before 14/11/2023, we have observed that for some random pictures Monkey can achieve more accurate results than GPT4V.
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