Hi @HarrisonPENG 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2605.27367.
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's great to see that the SpatialBench dataset is already available on the 🤗 Hub! We'd love to also help make your DA-Next model checkpoint and the DA-Next-5M dataset available to the community once they are ready. It seems from your README's To-Do list that these are still in progress.
It'd be great to make these checkpoints and datasets fully available and linked on the 🤗 hub, to improve their discoverability/visibility.
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.
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.
We encourage researchers to push each model checkpoint 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 datasets
Would be awesome to make the DA-Next-5M dataset 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.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
After uploaded, we can also link the models and datasets to the paper page (read here) so people can discover your work. We can also help link the already released SpatialBench dataset to your paper page.
Let me know if you're interested/need any help regarding this once the DA-Next model and DA-Next-5M dataset are ready for release!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @HarrisonPENG 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2605.27367.
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's great to see that the
SpatialBenchdataset is already available on the 🤗 Hub! We'd love to also help make yourDA-Nextmodel checkpoint and theDA-Next-5Mdataset available to the community once they are ready. It seems from your README's To-Do list that these are still in progress.It'd be great to make these checkpoints and datasets fully available and linked on the 🤗 hub, to improve their discoverability/visibility.
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.
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.We encourage researchers to push each model checkpoint 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 datasets
Would be awesome to make the
DA-Next-5Mdataset 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.
After uploaded, we can also link the models and datasets to the paper page (read here) so people can discover your work. We can also help link the already released
SpatialBenchdataset to your paper page.Let me know if you're interested/need any help regarding this once the
DA-Nextmodel andDA-Next-5Mdataset are ready for release!Cheers,
Niels
ML Engineer @ HF 🤗