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
Update README.md
Browse files
README.md
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@@ -77,8 +77,8 @@ docker pull stepfun2025/vllm:step-audio-2-v20250909
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-v $(pwd)/Step-Audio-R1.1:/Step-Audio-R1.1 \
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-p 9999:9999 \
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stepfun2025/vllm:step-audio-2-v20250909 \
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-- vllm serve /Step-Audio-R1 \
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--served-model-name Step-Audio-R1 \
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--port 9999 \
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--max-model-len 16384 \
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--max-num-seqs 32 \
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-v $(pwd)/Step-Audio-R1.1:/Step-Audio-R1.1 \
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-p 9999:9999 \
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stepfun2025/vllm:step-audio-2-v20250909 \
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-- vllm serve /Step-Audio-R1.1 \
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--served-model-name Step-Audio-R1.1 \
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--port 9999 \
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--max-model-len 16384 \
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--max-num-seqs 32 \
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