Hi @InternRobotics 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.13653
The paper page lets people discuss about your paper and lets them find artifacts about it, and it's awesome to see that you've already shared the REAL-Data dataset on the Hub!
I noticed in your GitHub README that the model checkpoints for REAL are coming soon. Would you also like to host these checkpoints on https://huggingface.co/models once they are ready?
Hosting them on Hugging Face will give your work more visibility, enable better discoverability, and allow people to easily find them.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model, allowing people to download and use the models right away. Alternatively, users can directly use hf_hub_download.
After they are uploaded, we can also link both the dataset and the models directly to the paper page (read here) so people can easily discover your work.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @InternRobotics 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.13653
The paper page lets people discuss about your paper and lets them find artifacts about it, and it's awesome to see that you've already shared the REAL-Data dataset on the Hub!
I noticed in your GitHub README that the model checkpoints for REAL are coming soon. Would you also like to host these checkpoints on https://huggingface.co/models once they are ready?
Hosting them on Hugging Face will give your work more visibility, enable better discoverability, and allow people to easily find them.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model, allowing people to download and use the models right away. Alternatively, users can directly use hf_hub_download.After they are uploaded, we can also link both the dataset and the models directly to the paper page (read here) so people can easily discover your work.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels