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I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daliy papers: https://huggingface.co/papers/2412.01824. The paper page lets people discuss about your paper and lets them find artifacts about it (your model for instance) you can also claim the paper as yours which will show up on your public profile at HF.
Would you like to host the models you've pre-trained on https://huggingface.co/models? I see you're using Github for it. Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.
If you're down, leaving a guide here. If it's a PyTorch model, you can use PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your model.
Let me know if you're interested/need any help.
Kind regards,
Niels
The text was updated successfully, but these errors were encountered:
Hello @SunzeY 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daliy papers: https://huggingface.co/papers/2412.01824. The paper page lets people discuss about your paper and lets them find artifacts about it (your model for instance) you can also claim the paper as yours which will show up on your public profile at HF.
Would you like to host the models you've pre-trained on https://huggingface.co/models? I see you're using Github for it. Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.
If you're down, leaving a guide here. If it's a PyTorch model, you can use PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your model.
Let me know if you're interested/need any help.
Kind regards,
Niels
The text was updated successfully, but these errors were encountered: