Hi @Ahghaffari 🤗
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://hf.co/papers/2606.06027.
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.
It'd be great to make the QLoRA checkpoints and the urban well-being dataset you used in your case study available on the 🤗 hub, to improve their discoverability and visibility. I noticed in your README that heavy artifacts like the adapters and the Reddit data are currently git-ignored; hosting them on Hugging Face is a great way to make them accessible to the research community.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, since you are using PEFT/trl for the QLoRA adapters, you can leverage the built-in push_to_hub methods to upload the adapters. We encourage researchers to push each model adapter to a separate model repository, so that things like download stats and metadata tags also work correctly. We can then also link the checkpoints to the paper page.
Uploading dataset
Would be awesome to make the Reddit text corpora and profiles available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/reddit-urban-wellbeing")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/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @Ahghaffari 🤗
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://hf.co/papers/2606.06027.
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.
It'd be great to make the QLoRA checkpoints and the urban well-being dataset you used in your case study available on the 🤗 hub, to improve their discoverability and visibility. I noticed in your README that heavy artifacts like the adapters and the Reddit data are currently git-ignored; hosting them on Hugging Face is a great way to make them accessible to the research community.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, since you are using PEFT/trl for the QLoRA adapters, you can leverage the built-in
push_to_hubmethods to upload the adapters. We encourage researchers to push each model adapter to a separate model repository, so that things like download stats and metadata tags also work correctly. We can then also link the checkpoints to the paper page.Uploading dataset
Would be awesome to make the Reddit text corpora and profiles 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/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗