Hi @A113N-W3I 🤗
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/2506.02161
The paper page lets people discuss about your paper and lets them find artifacts about it, you can also claim the paper as yours which will show up on your public profile at HF, and add your GitHub and project page URLs.
First of all, thank you so much for hosting the TIIF-Bench-Data dataset on Hugging Face! It makes it incredibly easy for the community to access and use your benchmark prompts.
I noticed on your GitHub repository that you plan to release the TIIF-Evaluator model weights soon. Would you also like to host this model on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link it directly to your paper page, etc.
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 which lets you upload the model and allows people to download and use it right away.
Alternatively, users can also use hf_hub_download.
After uploaded, we can also link the model to the paper page (read here) so people can discover your model alongside your existing dataset.
You can also build a demo for your model on Spaces. ZeroGPU gives on-demand GPU-backed compute for demo Spaces.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @A113N-W3I 🤗
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/2506.02161
The paper page lets people discuss about your paper and lets them find artifacts about it, you can also claim the paper as yours which will show up on your public profile at HF, and add your GitHub and project page URLs.
First of all, thank you so much for hosting the TIIF-Bench-Data dataset on Hugging Face! It makes it incredibly easy for the community to access and use your benchmark prompts.
I noticed on your GitHub repository that you plan to release the TIIF-Evaluator model weights soon. Would you also like to host this model on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link it directly to your paper page, etc.
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 which lets you upload the model and allows people to download and use it right away.Alternatively, users can also use hf_hub_download.
After uploaded, we can also link the model to the paper page (read here) so people can discover your model alongside your existing dataset.
You can also build a demo for your model on Spaces. ZeroGPU gives on-demand GPU-backed compute for demo Spaces.
Let me know if you're interested or need any guidance!
Kind regards,
Niels