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View Code? Open in Web Editor NEW[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
License: Apache License 2.0
[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
License: Apache License 2.0
能否提供一个关于CNN和transformer的简单样例代码,并在其上使用UniPT,以便于可以通过学习这个样例来将该方法使用在其他领域上。十分感谢!
Hi @Paranioar thank you sharing your work. Can you please share details about the adapter module, was only able to find this https://github.com/Paranioar/UniPT/blob/main/CLIP4Clip/modules/module_adapter.py but not able to see where its called.
Thank you for your help.
What is the cuda version
Nice work !
I aim to reproduce results on RefCOCO dataset. When following line is executed, the issue occurs, i.e., ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on.
However, my Internet connection is on constantly. So you can upload the roberta-base model you used and put them in corresponding folder, like pretrained_resnet101_checkpoint.pth put into pretrained_weights folder ?
Nice work! @Paranioar
I noticed that the paper mentioned UniPT based on the T5 large model performed well on NLP tasks such as GLUE benchmark.But I didn't find the relevant code on GitHub...So could you please provide a copy of the code in NLP field?
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