Hello,
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.15619
The paper page lets people discuss about your paper and lets them find artifacts about it (your models and dataset for instance), and 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.
First of all, congratulations on your paper and thank you so much for already hosting the StructGen dataset package and benchmark on the Hugging Face Hub at https://huggingface.co/datasets/jianingPeng0382/StructGen! This is wonderful for accessibility and reproducibility.
I noticed in your repository that you mention local model checkpoints (like model.safetensors) for training and inference, but they don't seem to be publicly hosted yet. Would you also like to host these pre-trained model checkpoints on https://huggingface.co/models?
Hosting on Hugging Face will give your models more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, and link them directly to the paper page alongside your dataset.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model, or users can use the hf_hub_download helper to download the model files directly.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hello,
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.15619
The paper page lets people discuss about your paper and lets them find artifacts about it (your models and dataset for instance), and 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.
First of all, congratulations on your paper and thank you so much for already hosting the StructGen dataset package and benchmark on the Hugging Face Hub at https://huggingface.co/datasets/jianingPeng0382/StructGen! This is wonderful for accessibility and reproducibility.
I noticed in your repository that you mention local model checkpoints (like
model.safetensors) for training and inference, but they don't seem to be publicly hosted yet. Would you also like to host these pre-trained model checkpoints on https://huggingface.co/models?Hosting on Hugging Face will give your models more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, and link them directly to the paper page alongside your dataset.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model, or users can use the hf_hub_download helper to download the model files directly.Let me know if you're interested or need any guidance!
Kind regards,
Niels