Hi @AMAP-ML 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv regarding RISE 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.
It'd be great to make the RISE-improved checkpoints and the generated pseudo-labeled VQA datasets available on the 🤗 hub, to improve their discoverability and visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, since your solver checkpoints are already in Hugging Face format, you could leverage the push_to_hub functionality. We encourage researchers to push each model checkpoint to a separate model repository so that download stats and model cards work effectively. We can then also link the checkpoints to the paper page.
Uploading dataset
It would also be awesome to make the skill-balanced pseudo-labeled data available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/RISE-VQA-data")See here for a guide: https://huggingface.co/docs/datasets/loading. Besides that, the dataset viewer allows people to quickly explore the generated questions and labels in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @AMAP-ML 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv regarding RISE 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.
It'd be great to make the RISE-improved checkpoints and the generated pseudo-labeled VQA datasets available on the 🤗 hub, to improve their discoverability and visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, since your solver checkpoints are already in Hugging Face format, you could leverage the
push_to_hubfunctionality. We encourage researchers to push each model checkpoint to a separate model repository so that download stats and model cards work effectively. We can then also link the checkpoints to the paper page.Uploading dataset
It would also be awesome to make the skill-balanced pseudo-labeled data available on 🤗 , so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/loading. Besides that, the dataset viewer allows people to quickly explore the generated questions and labels in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗