Hi @figec 馃
I'm Niels and work as part of the community science team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
I saw on your GitHub repository that you are currently cleaning and organizing the codebase for TTL to be released soon. Would you like to host the model checkpoints or the learnable prompt components you've developed on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add metadata 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 custom PyTorch model, you can use the 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.
After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @figec 馃
I'm Niels and work as part of the community science team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
I saw on your GitHub repository that you are currently cleaning and organizing the codebase for TTL to be released soon. Would you like to host the model checkpoints or the learnable prompt components you've developed on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add metadata 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 custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model which lets you to upload the model and people to download and use models right away.After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels