Hi @hmf21 馃
Niels here from 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, datasets or demo for instance), 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.
I saw in your GitHub README that you plan to release the checkpoints and datasets for HE-VPR after the review stage is complete. It'd be great to make these available on the 馃 hub to improve their discoverability and visibility within the AI community.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, since you use adapters, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.
Uploading dataset
It would also be awesome to make your multi-altitude datasets available on 馃, so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested or need any help regarding this once you are ready for the release!
Cheers,
Niels
ML Engineer @ HF 馃
Hi @hmf21 馃
Niels here from 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, datasets or demo for instance), 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.
I saw in your GitHub README that you plan to release the checkpoints and datasets for HE-VPR after the review stage is complete. It'd be great to make these available on the 馃 hub to improve their discoverability and visibility within the AI community.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, since you use adapters, we could leverage the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto any customnn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.Uploading dataset
It would also be awesome to make your multi-altitude datasets available on 馃, so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested or need any help regarding this once you are ready for the release!
Cheers,
Niels
ML Engineer @ HF 馃