Release EvaNet artifacts (models, datasets) on Hugging Face

[NielsRogge]

Hi @AWCXV 🤗

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 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 Github and project page URLs.

I noticed on your GitHub README that you plan to release the source code and related datasets for EvaNet soon. It'd be great to make the checkpoints and datasets available on the 🤗 hub to improve their discoverability and visibility within the image fusion research community. We can add metadata tags so that people find them easily 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, we 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.

Uploading datasets

Would be awesome to make the datasets available on 🤗 as well, 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.

Besides that, there's the dataset viewer which allows people to quickly explore the data rows directly in the browser.

Let me know if you're interested or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗