Comments (34)
We plan to release soon, but we can add you privately to the codebase right away. I sent you an invite.
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Thanks you @chrisc36 . If possible you can add me to codebase.
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Hi, could you also add me to the codebase? @chrisc36 We are very interested in this work. Hope to know more and follow this work.
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@chrisc36 Could you also add me to the codebase? Can't wait to dive into this work.
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@chrisc36 Could you please add me to the codebase? Thanks!
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@chrisc36 really great work here. Any progress on the code release? I would also be thankful if you could add me to the codebase.
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@chrisc36 Could you also add me to the codebase?? Thank you!
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@chrisc36 Could you please add me to the codebase? Thank you!
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@chrisc36 Really good work! Could you please add me to the codebase? Many thanks !!
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Hi @chrisc36, congrats on the awesome work! Could you please add me to the code base for fine-tuning? I'd like to (1) fine-tune it for captioning and VQA tasks and (2) experiment with RLHF for unified multimodality, and release my results publically.
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@chrisc36 Congratulations! Really Great work! Could you please add me to the codebase? Thank you!
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@chrisc36 Great work! Could you please add me to the codebase? Thanks! What are the hardware requirements for training unified-io and how long will it take?
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Hi @chrisc36, could you please add me to the codebase? I'd like to fine-tune it with text. Thank you.
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@chrisc36 Really good work! Could you please add me to the codebase? Many thanks !!
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Great work! Could you please add me to the codebase? Thank you!
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Hello! Could you please add me to the codebase? Thanks
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Hello, @chrisc36 Thank you for your great work! Could you please add me to the codebase? Thanks a lot!
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Hello! @chrisc36 Could you also add me to the codebase? Can't wait to dive into this work.
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Could you please add me to the codebase? Thank you!
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Please, add me to the codebase. Thank you!
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@chrisc36 Great work! Could you please add me to the codebase? Many thanks !!
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@chrisc36 Thank you for your great work! I kindly inquire if you can invite me to the codebase. Thank you!
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@chrisc36 Could you please add me to the codebase? Thanks a lot. I would like to fine-tune it for VRD task.
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@chrisc36 Thanks for your great work? Could you add me to the codebase? Your work give us a special insight, I may want to follow your work to do more specific task. Thanks.
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@chrisc36 Thank you for your amazing work. I am recently learning to how to develop a unified model, could you please add me to the codebase?
I believe that having the ability to examine and experiment with the existing code would provide invaluable practical insights and complement the theoretical knowledge I have gained so far. Thank you in advance for your time and consideration.
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@chrisc36 Thanks for your great work! Could you add me to the codebase? I am currently interested in multi-task vision-language models, and your paper is of great research value to me. Thanks a lot.
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@chrisc36 Thanks a lot for the amazing work!! Could you please add me to the codebase too? We would like to explore expanding unified-io onto video modality. Thanks a lot.
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Great work! Is there any progress on the release of training scripts?
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@chrisc36 Thanks for your great work! Could you add me to the codebase? I am currently interested in unified foundation model, and your paper is of great research value to me. Thanks a lot.
from unified-io-inference.
Thank you for your amazing work. I am recently learning to how to develop a unified model, could you please add me to the codebase?
from unified-io-inference.
@chrisc36 Could you add me to the codebase? I am interested in unified foundation model and want to try it in my project.
from unified-io-inference.
@chrisc36 Thanks for your wonderful work! I am very interested in fine-tuning this model. Could you add me to the codebase? Thanks a lot.
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@chrisc36 This model and concept was atleast an year ahead of its time. Could you add me to the codebase as well? Thanks.
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Could you add me to the codebase? I am interested in unified foundation model and want to try it in my project.
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Related Issues (12)
- Flax backward compatibility HOT 1
- JAX version HOT 1
- Original error: UNIMPLEMENTED: DNN library is not found. HOT 1
- Loss function used in the multi-task training
- object detection in inference
- Reverting to CPU
- how the uio differentiate between instances of different classes
- How to pretrain and finetune unified-io? HOT 1
- Request for releasing testing code on COCO pose dataset.
- table 3
- Multiple object detection
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