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Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2412.09501.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo for instance), you can also claim
the paper as yours which will show up on your public profile at HF.
It'd be great to make the Lyra_Pro_74B checkpoint available on the 🤗 hub, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/models.
In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.
We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
The text was updated successfully, but these errors were encountered:
Thanks for reaching out and for featuring our paper on the Hugging Face papers page! 🤗 It’s great to see the community engaging with our work.
We’re currently preparing to upload the Lyra_Pro_74B model to Hugging Face. Due to the model’s size and storage requirements, we need a bit more time to organize its experimental results and checkpoints. We aim to have everything ready and released by the end of this month or early next month.
We appreciate the resources and guidance provided for the upload process—this will be very helpful.
Looking forward to making the model accessible to the community!
Hi @zs-zhong,
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2412.09501.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo for instance), you can also claim
the paper as yours which will show up on your public profile at HF.
It'd be great to make the
Lyra_Pro_74B
checkpoint available on the 🤗 hub, to improve their discoverability/visibility.We can add tags so that people find them when filtering https://huggingface.co/models.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, we could leverage the PyTorchModelHubMixin class which adds
from_pretrained
andpush_to_hub
to any customnn.Module
. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
The text was updated successfully, but these errors were encountered: