Hi @chenweixin107 🤗
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 your paper and lets them find artifacts about it (your models, datasets, or demos, for instance). You can also claim the paper as yours, which will showcase it on your public profile at HF, and link your GitHub repository.
I saw on your GitHub repository (https://github.com/uiuctml/VLC) that the code is coming soon. When you are ready to open-source the project, it would be awesome to make your trained models and visual reasoning evaluation datasets available on the 🤗 Hub to maximize their visibility and discoverability.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, 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 datasets
Would be awesome to make the visual deductive reasoning datasets available on 🤗 as well, so that people can easily load them:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")See here for a dataset hosting 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 when you are ready to release!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @chenweixin107 🤗
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 your paper and lets them find artifacts about it (your models, datasets, or demos, for instance). You can also claim the paper as yours, which will showcase it on your public profile at HF, and link your GitHub repository.
I saw on your GitHub repository (https://github.com/uiuctml/VLC) that the code is coming soon. When you are ready to open-source the project, it would be awesome to make your trained models and visual reasoning evaluation datasets available on the 🤗 Hub to maximize their visibility and discoverability.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, 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 datasets
Would be awesome to make the visual deductive reasoning datasets available on 🤗 as well, so that people can easily load them:
See here for a dataset hosting 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 when you are ready to release!
Cheers,
Niels
ML Engineer @ HF 🤗