Hi @discoverse-dev 🤗
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, add Github and project page URLs.
It'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility. I saw in your "Planned releases" section that you are already planning a Hugging Face release for your compressed 3DGS assets, robot assets, and trained policies—that's fantastic! We can add tags so that people find them 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.
We encourage researchers to push each model checkpoint (e.g., your Go2 or G1 policies) to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Uploading dataset
Would be awesome to make the Bridge-GS and InteriorGS datasets available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("gsplayground/bridge-gs")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.
I also saw you have an "Online Demo" listed as coming soon. You might be interested in building a demo on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @discoverse-dev 🤗
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, add Github and project page URLs.
It'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility. I saw in your "Planned releases" section that you are already planning a Hugging Face release for your compressed 3DGS assets, robot assets, and trained policies—that's fantastic! We can add tags so that people find them 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.
We encourage researchers to push each model checkpoint (e.g., your Go2 or G1 policies) to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Uploading dataset
Would be awesome to make the Bridge-GS and InteriorGS datasets 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.
I also saw you have an "Online Demo" listed as coming soon. You might be interested in building a demo on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗