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Release Step-Audio-R1 on Hugging Face

Abierto
  • ¿Algo no está bien?
#1 3 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
15/100
Tipo de issue
Nueva funcionalidad
Claridad
Necesita aclaración
Estado de actividad
Estancado
Stack tecnológico
python, pytorch
Área
ai, machine-learning, release

Línea de trabajo

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.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

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 🤗

Lenguaje dominante
Python
Estrellas
699
Forks
51
Sin PR fusionados en 30 d

Preparar el entorno

Aún no hemos revisado los archivos de configuración de este proyecto. Empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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