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Release Step-Audio-R1 on Hugging Face

Aperta
  • Qualcosa non va?
#1 3 commenti 0 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
5/5
Tempo stimato
Più di una settimana
Idoneità per principianti
15/100
Tipo di issue
Funzionalità
Chiarezza
Da chiarire
Stato di attività
Ferma
Stack tecnologico
python, pytorch
Ambito
ai, machine-learning, release

Direzione di ricerca

Start with the README's Open-source Plan and review the reserved Hugging Face model repository and Space linked in the issue. Determine the release scope for the inference code, model checkpoints, and online demo, then use the linked model-uploading guide; done means the planned artifacts are available and discoverable on Hugging Face.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

Hi @giantPanda0906 🤗

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/2511.15848.
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 your "Open-source Plan" in the GitHub README (https://github.com/stepfun-ai/Step-Audio-R1) and noticed the checkboxes for "Inference Code", "Online demo", and "Model Checkpoints" are still unchecked. It's fantastic to see your intention to open-source Step-Audio-R1!

We'd be thrilled if you considered making the model checkpoints available on the 🤗 Hub (https://huggingface.co/models) once they are ready. You already have a reserved repository https://huggingface.co/stepfun-ai/Step-Audio-R1 and a Space https://huggingface.co/spaces/stepfun-ai/Step-Audio-R1 which is great! Hosting on Hugging Face will give you more visibility and enable better discoverability for your groundbreaking audio reasoning model. We can help you add pipeline tags like audio-text-to-text to the model card so people can easily find and use it, and link it directly to your paper page.

If you're down, here's a guide for uploading models: https://huggingface.co/docs/hub/models-uploading.
If it's a custom PyTorch model, the PyTorchModelHubMixin class simplifies adding from_pretrained and push_to_hub functionalities.

Once uploaded, we can also link the models to your paper page (read here: https://huggingface.co/docs/hub/en/model-cards#linking-a-paper).

You're also planning an online demo on Spaces – we can even provide you a ZeroGPU grant, which gives you A100 GPUs for free for your demo!

Let me know if you're interested or need any guidance as you prepare for the release!

Kind regards,

Niels
ML Engineer @ HF 🤗

Lingua principale
Python
Stelle
699
Fork
51
Nessuna PR unita negli ultimi 30g

Preparare l'ambiente

Non abbiamo ancora controllato i file di configurazione di questo progetto. Parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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