Hi @wuhaer 🤗
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/2601.03993.
The paper page lets people discuss your research and find related artifacts. 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 README that you're planning to release the pretrained models and the PosterDNA dataset soon, and you even have a TODO item to upload to Hugging Face! It'd be great to make these checkpoints and the dataset available on the 🤗 Hub to improve their discoverability and visibility.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Since you mentioned using diffusers in your acknowledgments, pushing to the Hub is very straightforward using the push_to_hub methods. Alternatively, you can leverage the PyTorchModelHubMixin class for custom models. We encourage researchers to push each model checkpoint to a separate model repository so that download stats work correctly, and we can link them directly to the paper page.
Uploading dataset
It would also be awesome to make the PosterDNA dataset available on 🤗, so that people can easily load it:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/PosterDNA")See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, our dataset viewer would allow people to quickly explore the first few rows of the data and your unique HTML-based typography files directly in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @wuhaer 🤗
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/2601.03993.
The paper page lets people discuss your research and find related artifacts. 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 README that you're planning to release the pretrained models and the PosterDNA dataset soon, and you even have a TODO item to upload to Hugging Face! It'd be great to make these checkpoints and the dataset available on the 🤗 Hub to improve their discoverability and visibility.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Since you mentioned using
diffusersin your acknowledgments, pushing to the Hub is very straightforward using thepush_to_hubmethods. Alternatively, you can leverage the PyTorchModelHubMixin class for custom models. We encourage researchers to push each model checkpoint to a separate model repository so that download stats work correctly, and we can link them directly to the paper page.Uploading dataset
It would also be awesome to make the PosterDNA dataset available on 🤗, so that people can easily load it:
See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, our dataset viewer would allow people to quickly explore the first few rows of the data and your unique HTML-based typography files directly in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗