Release ImAge checkpoints on Hugging Face #2
Description
Hi @Lu-Feng 🤗
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 artifacts linked to it (like your models). You can also claim the paper as yours, which will show up on your public profile at HF, and add GitHub and project page URLs.
Would you like to host the pre-trained ImAge checkpoints you've released (currently on Google Drive) on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability through metadata tags (e.g., for visual place recognition).
If you're interested, I'm 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 your models right away. Alternatively, users can also use hf_hub_download to pull the .pth files.
After uploading, we can link the models to the paper page (instructions here) so people can easily find your weights while reading the paper.
Also, once your Unified VPR dataset is ready for release, it would be awesome to host that on hf.co/datasets as well, which would allow people to explore it using our Dataset Viewer!
Let me know if you're interested or need any guidance :)
Kind regards,
Niels
ML Engineer @ HF 🤗