Hello,
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, add Github and project page URLs.
I saw on your GitHub repository that you are currently preparing the HEAR framework and the associated datasets (OpenX-Sound and HEAR-Bench) for public release. It'd be great to make the checkpoints and datasets available on the 🤗 hub, to improve their discoverability and visibility within the robotics and multi-sensory foundation model communities.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
For custom models, you 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 datasets
Would be awesome to make the OpenX-Sound and HEAR-Bench datasets available on 🤗 , 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!
Cheers,
Niels
ML Engineer @ HF 🤗
Hello,
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, add Github and project page URLs.
I saw on your GitHub repository that you are currently preparing the HEAR framework and the associated datasets (OpenX-Sound and HEAR-Bench) for public release. It'd be great to make the checkpoints and datasets available on the 🤗 hub, to improve their discoverability and visibility within the robotics and multi-sensory foundation model communities.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
For custom models, you 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 datasets
Would be awesome to make the OpenX-Sound and HEAR-Bench datasets available on 🤗 , 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!
Cheers,
Niels
ML Engineer @ HF 🤗