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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a78079842a0d7e481206128d468929ea3e5bc3d2b9c13d2758ab6004e2feff7b
- Size of remote file:
- 9.75 GB
- SHA256:
- ae747f048f5df0d181fd821ae5bc39f7b560c7251e1539b23152eeda354adf3c
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