Hello,
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 your paper and find related artifacts (such as your models). You can also claim the paper as yours, which will show up on your public profile at HF, and link your GitHub repository.
Would you like to host the pre-trained models you've released (SemanticKITTI-PMF-ResNet34 and nuScenes-EPMF-ResNet34) on https://huggingface.co/models?
I notice you are currently hosting them on Google Drive. Hosting on Hugging Face will give you 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, and track download statistics.
If you're down, you can find 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. This lets you upload the model easily and lets others download and use them in just a few lines of code. Alternatively, users can use hf_hub_download to download individual weight files.
After they are uploaded, we can also link the models to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hello,
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 your paper and find related artifacts (such as your models). You can also claim the paper as yours, which will show up on your public profile at HF, and link your GitHub repository.
Would you like to host the pre-trained models you've released (
SemanticKITTI-PMF-ResNet34andnuScenes-EPMF-ResNet34) on https://huggingface.co/models?I notice you are currently hosting them on Google Drive. Hosting on Hugging Face will give you 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, and track download statistics.
If you're down, you can find a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model. This lets you upload the model easily and lets others download and use them in just a few lines of code. Alternatively, users can use hf_hub_download to download individual weight files.After they are uploaded, we can also link the models to the paper page (read here) so people can discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels