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:
- a4cb01b6df7dd31b9c5e51e4a63800a399a8ebc1a15574e3ddcdb99bc89bb6a8
- Size of remote file:
- 9.75 GB
- SHA256:
- 30cf0f6f3fc658bf64c20675d22b7b7ff73f54e3a3fec5121d9dba778915b1f0
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