Hi @SkyeLu 🤗
I'm Niels and work as part of 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 (which we can set up at https://huggingface.co/papers/2605.13306) lets people discuss about your paper and lets them find artifacts about it (your models, datasets or code for instance). You can also claim the paper as yours which will show up on your public profile at HF, and add GitHub and project page URLs.
I saw on your GitHub repository that the code for "Color Constancy in Hyperspectral Imaging via Reduced Spectral Spaces" is coming soon. It'd be great to make the checkpoints (such as the learned projection bases) and any hyperspectral datasets available on the 🤗 hub once they are ready, to improve their discoverability and visibility.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading. You can also leverage the hf_hub_download one-liner to download a checkpoint from the hub.
Uploading dataset
Would be awesome to make the hyperspectral data 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 guide: https://huggingface.co/docs/datasets/loading. For hyperspectral data, the dataset viewer is a great way for people to explore your data directly in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @SkyeLu 🤗
I'm Niels and work as part of 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 (which we can set up at https://huggingface.co/papers/2605.13306) lets people discuss about your paper and lets them find artifacts about it (your models, datasets or code for instance). You can also claim the paper as yours which will show up on your public profile at HF, and add GitHub and project page URLs.
I saw on your GitHub repository that the code for "Color Constancy in Hyperspectral Imaging via Reduced Spectral Spaces" is coming soon. It'd be great to make the checkpoints (such as the learned projection bases) and any hyperspectral datasets available on the 🤗 hub once they are ready, to improve their discoverability and visibility.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading. You can also leverage the hf_hub_download one-liner to download a checkpoint from the hub.
Uploading dataset
Would be awesome to make the hyperspectral data available on 🤗, so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/loading. For hyperspectral data, the dataset viewer is a great way for people to explore your data directly in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗