Hi @ 🤗
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 (your models 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.
I noticed in your paper that you plan to release the code for SCATR at https://github.com/TRAILab/SCATR. Once you are ready to open-source the project, would you also like to host the pre-trained model checkpoints on https://huggingface.co/models?
Hosting on Hugging Face will give your work more visibility and enable better discoverability within the robotics and autonomous driving communities. We can add metadata tags (like nuScenes or object-detection) in the model cards so that people find the models easier and link them directly to the paper page.
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 which lets you upload the model and people to download and use models right away.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @ 🤗
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 (your models 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.
I noticed in your paper that you plan to release the code for SCATR at https://github.com/TRAILab/SCATR. Once you are ready to open-source the project, would you also like to host the pre-trained model checkpoints on https://huggingface.co/models?
Hosting on Hugging Face will give your work more visibility and enable better discoverability within the robotics and autonomous driving communities. We can add metadata tags (like
nuScenesorobject-detection) in the model cards so that people find the models easier and link them directly to the paper page.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 which lets you upload the model and people to download and use models right away.Let me know if you're interested or need any guidance!
Kind regards,
Niels