Instructions to use stepfun-ai/Step-Audio-2-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/Step-Audio-2-mini with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/Step-Audio-2-mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from stepfun-ai/Step-Audio-2-mini: direct link, hf CLI and curl.
- Browser
- Download file 12.7 MB
-
https://huggingface.co/stepfun-ai/Step-Audio-2-mini/resolve/main/tokenizer.json
- Command line
-
hf download hf://stepfun-ai/Step-Audio-2-mini/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/stepfun-ai/Step-Audio-2-mini/resolve/main/tokenizer.json
12.7 MB
- Xet hash:
- dfdcbf89c5245851b452aef868fca1831cd4f0d4c14d6e0291ce0d1a0df0d121
- Size of remote file:
- 12.7 MB
- SHA256:
- 529f599b059f0e73c30a25205b906a84add3988c964de0b7db090f34d71e2e6e
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