秦师兄您好，请问是否可以提供一下权重文件？

[pengzha0]

秦师兄您好，请问是否可以提供一下权重文件？ 谢谢您！

[htqin]

Hi, thanks so much for your attention! The pre-training models of BiBench mainly come from open-source channels such as OpenMM, PyTorch, and Huggingface communities. The architectures are almost identical to their corresponding BNNs. We hope that researchers can use the training pipeline we provide to obtain binarized models for testing.

And we also thank the reminder, we will detail our tutorial as soon as possible once get enough time, and will also directly present the download address of the corresponding pre-trained model.

[pengzha0]

thank you very much! 鹏 ***@***.*** 原始邮件 发件人："Haotong Qin"< ***@***.*** &gt;; 发件时间：2023/5/12 21:58 收件人："htqin/BiBench"< ***@***.*** &gt;; 抄送人："zhaopeng"< ***@***.*** &gt;;"Author"< ***@***.*** &gt;; 主题：Re: [htqin/BiBench] 秦师兄您好，请问是否可以提供一下权重文件？ (Issue #1) Hi, thanks so much for your attention! The pre-training models of BiBench mainly come from open-source channels such as OpenMM, PyTorch, and Huggingface communities. The architectures are almost identical to their corresponding BNNs. We hope that researchers can use the training pipeline we provide to obtain binarized models for testing. And we also thank the reminder, we will detail our tutorial as soon as possible once get enough time, and will also directly present the download address of the corresponding pre-trained model. &mdash; Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***&gt;