Hi @buduz 🤗
I'm Niels and work as part of 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. I saw that you have already released the example dataset on the Hub (Crossingz/ARX5_Piper_Few_shot_Example) using the LeRobot format, which is fantastic!
Would you also like to host the pre-trained model checkpoints you've developed for MOTIF on https://huggingface.co/models? Hosting on Hugging Face will give your models more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them directly to the paper page, etc.
Since you are already using the LeRobot format, you might also be interested in our LeRobot integration, which simplifies the process of pushing and sharing robotic policies. Alternatively, you can follow this guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class to add from_pretrained and push_to_hub methods to your model.
After uploading, we can also link the models to the paper page (read here) so people can discover all your artifacts in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @buduz 🤗
I'm Niels and work as part of 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. I saw that you have already released the example dataset on the Hub (
Crossingz/ARX5_Piper_Few_shot_Example) using the LeRobot format, which is fantastic!Would you also like to host the pre-trained model checkpoints you've developed for MOTIF on https://huggingface.co/models? Hosting on Hugging Face will give your models more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them directly to the paper page, etc.
Since you are already using the LeRobot format, you might also be interested in our LeRobot integration, which simplifies the process of pushing and sharing robotic policies. Alternatively, you can follow this guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class to add
from_pretrainedandpush_to_hubmethods to your model.After uploading, we can also link the models to the paper page (read here) so people can discover all your artifacts in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels