Hi @adarsh-crafts 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page (https://huggingface.co/papers/2512.17585) 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, add Github and project page URLs.
It'd be great to make the lesion-specific finetuned checkpoints (StyleGAN2-ADA and DDPM) and the curated SkinGenBench dataset available on the 🤗 hub, to improve their discoverability/visibility for the biomedical imaging community. I noticed the "Model Zoo" in your repository currently links to base pretrained weights, and it would be awesome to have your specialized weights hosted as well.
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 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.
Uploading dataset
Would be awesome to make the curated benchmark dataset (the 14,116 processed images) available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/SkinGenBench")See here for a 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/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @adarsh-crafts 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page (https://huggingface.co/papers/2512.17585) 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, add Github and project page URLs.
It'd be great to make the lesion-specific finetuned checkpoints (StyleGAN2-ADA and DDPM) and the curated SkinGenBench dataset available on the 🤗 hub, to improve their discoverability/visibility for the biomedical imaging community. I noticed the "Model Zoo" in your repository currently links to base pretrained weights, and it would be awesome to have your specialized weights hosted as well.
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_pretrainedandpush_to_hubto any customnn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.Uploading dataset
Would be awesome to make the curated benchmark dataset (the 14,116 processed images) available on 🤗 , so that people can do:
See here for a 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/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗