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Release artifacts (models, dataset) on Hugging Face #34

@NielsRogge

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@NielsRogge

Hi @mayuelala 🤗

Niels here from the open-source team at Hugging Face. I discovered your excellent work on "Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation" through Arxiv, and it's also featured on hf.co/papers.

The paper page lets people discuss your paper and find related artifacts (your models, datasets, or demos). 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.

It'd be great to make the FollowYourEmoji checkpoint and the EmojiBench++ dataset even more discoverable on the 🤗 hub, improving their visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Linking models

I noticed that your FollowYourEmoji model is already available on the Hub at https://huggingface.co/YueMafighting/FollowYourEmoji! That's fantastic. To boost its visibility and connect it directly to your research, we can link this model to your paper page on Hugging Face. You can find more details on how to do this here.

Uploading dataset

Your paper introduces the comprehensive EmojiBench++ dataset. Would it be possible to host this dataset on 🤗 as well? This would make it incredibly easy for other researchers to use, allowing them to do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

You can find a detailed guide on uploading datasets here: https://huggingface.co/docs/datasets/loading. We also support Webdataset, which is useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

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!

Cheers,

Niels
ML Engineer @ HF 🤗

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