Hi @qqlu 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2402.02555.
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 paper that you plan to release the EntitySeg dataset and the ESG/GELLA grounding code soon. It'd be great to make these checkpoints and the dataset available on the 🤗 hub to improve their discoverability and visibility! We can add metadata tags so that people find them when filtering the Hub, and it would allow for easy integration.
Uploading models
When you are ready to release the pre-trained checkpoints for the ESG pipeline (CropFormer and GELLA), would you like to host them on https://huggingface.co/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 leverages the hf_hub_download one-liner to download a checkpoint from the hub.
Uploading dataset
It would also be awesome to make the EntitySeg dataset available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/EntitySeg")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 🤗
Hi @qqlu 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2402.02555.
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 paper that you plan to release the EntitySeg dataset and the ESG/GELLA grounding code soon. It'd be great to make these checkpoints and the dataset available on the 🤗 hub to improve their discoverability and visibility! We can add metadata tags so that people find them when filtering the Hub, and it would allow for easy integration.
Uploading models
When you are ready to release the pre-trained checkpoints for the ESG pipeline (CropFormer and GELLA), would you like to host them on https://huggingface.co/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 leverages the hf_hub_download one-liner to download a checkpoint from the hub.Uploading dataset
It would also be awesome to make the EntitySeg dataset 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 🤗