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First of all, I would like to thank you for your excellent work on InternVideo-Next. I found the paper very insightful.
In the paper, you mention the model’s zero-shot video–text retrieval capability using MobileCLIP-B. I was wondering whether you plan to publish or release the text encoder that was used for this setup.
Thank you very much for your time and consideration.
Hello,
Thank you for your interest and your kind words about our work.
Unfortunately, due to a recent personal job transition, I was only able to retain the critical backbone weights and the pre-training code. I did not save the specific checkpoints for the probing tests on the frozen model representations.
However, we plan to release the training code upon the official publication of the paper, so please stay tuned for that. In the meantime, the retrieval probing test with MobileCLIP-base largely follows the implementation here: https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2/multi_modality. You can refer to this if you need to reproduce the setup immediately.
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getmoments-com commentedon Feb 4, 2026
That would be great!
toretak commentedon Feb 5, 2026
I would really appreciate it too.
Revliter commentedon Feb 10, 2026
Hello,
Thank you for your interest and your kind words about our work.
Unfortunately, due to a recent personal job transition, I was only able to retain the critical backbone weights and the pre-training code. I did not save the specific checkpoints for the probing tests on the frozen model representations.
However, we plan to release the training code upon the official publication of the paper, so please stay tuned for that. In the meantime, the retrieval probing test with MobileCLIP-base largely follows the implementation here: https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2/multi_modality. You can refer to this if you need to reproduce the setup immediately.
bhavnasud821 commentedon Apr 22, 2026
Hello,
Are you able to release the text encoder weights now that the paper has been published? Thanks so much!