Audio-Text-to-Text
Transformers
Safetensors
step_audio_2
text-generation
audio-reasoning
chain-of-thought
multi-modal
step-audio-r1
custom_code
Instructions to use stepfun-ai/Step-Audio-R1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/Step-Audio-R1.1 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/Step-Audio-R1.1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
How to implement MPS?
#3
by Seungyoun - opened
How to implement MPS?
Regarding the MPS implementation, you can refer to this paper for the technical details: https://arxiv.org/pdf/2510.09592
It is essentially an engineering scheduling problem. We are planning to release an API for this in the future to make it easier to use.