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Improve discoverability of your work on HF #2
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Thanks , we will add this support soon. |
Great! Btw, HustVL does have an organization on the hub: https://huggingface.co/hustvl Would be great to make them available there! |
Hi @xiazhi1 I saw your email, would it be possible to contact someone part of the HustVL organization on HF and ask for access? |
HI @xiazhi1 I saw you pushed a checkpoint here: https://huggingface.co/hustvl/LKCell-L. Great! However I also see you removed the Mixin: 8583e6a, any reason for this? Let us know if there's any problem with it :) |
That's a temporary modification. |
Hi,
Niels here from the open-source team at Hugging Face. Congrats on your work! I discovered your work through the paper page: https://huggingface.co/papers/2407.18054 (feel free to claim the paper so that it appears at your HF account!).
However there are a couple of things which could improve the discoverability of your work, which I've listed below.
Upload checkpoints in seperate model repos, make sure download stats work
I see the models are already on the hub which is great, however we recommend pushing checkpoints to individual model repos so that download stats work.
Here's a guide: https://huggingface.co/docs/hub/models-uploading#upload-a-pytorch-model-using-huggingfacehub. The PyTorchModelHubMixin is suited for custom PyTorch models, as is the case here.
Let me know if you need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
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