Hi @luuuulinnnn 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.09655
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, and add your GitHub and project page URLs.
I saw in your GitHub repository that you plan to release the OpenLongTail checkpoints soon (in July 2026). It'd be great to make these checkpoints and any synthesized datasets available on the 🤗 Hub to improve their discoverability and visibility!
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, you could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, you can leverage 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 directly to the paper page.
Uploading datasets
Would also be awesome to make the synthesized/long-tail datasets available on 🤗, so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")See here for a dataset loading guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested or need any help regarding this when you are ready to release!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @luuuulinnnn 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.09655
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, and add your GitHub and project page URLs.
I saw in your GitHub repository that you plan to release the OpenLongTail checkpoints soon (in July 2026). It'd be great to make these checkpoints and any synthesized datasets available on the 🤗 Hub to improve their discoverability and visibility!
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, you could leverage the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto any customnn.Module. Alternatively, you can leverage 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 directly to the paper page.
Uploading datasets
Would also be awesome to make the synthesized/long-tail datasets available on 🤗, so that people can do:
See here for a dataset loading guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested or need any help regarding this when you are ready to release!
Cheers,
Niels
ML Engineer @ HF 🤗