Hi @maff-sony 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2604.01929.
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.
Would you like to host the Woosh sound effect models (AE, CLAP, and the Flow generative models) you've pre-trained on https://huggingface.co/models?
I see you're currently using GitHub Releases to share the weights. Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add specific metadata tags to the model cards so that people can easily find the models when filtering by task (like text-to-audio), link them directly to the paper page, and track usage statistics.
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. Alternatively, users can also use hf_hub_download to fetch the weights.
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 models on Spaces, and we can provide you a ZeroGPU grant, which gives you access to A100 GPUs for free.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @maff-sony 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2604.01929.
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.
Would you like to host the Woosh sound effect models (AE, CLAP, and the Flow generative models) you've pre-trained on https://huggingface.co/models?
I see you're currently using GitHub Releases to share the weights. Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add specific metadata tags to the model cards so that people can easily find the models when filtering by task (like text-to-audio), link them directly to the paper page, and track usage statistics.
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. Alternatively, users can also use hf_hub_download to fetch the weights.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 models on Spaces, and we can provide you a ZeroGPU grant, which gives you access to A100 GPUs for free.
Let me know if you're interested or need any guidance!
Kind regards,
Niels