Audio-Text-to-Text
Transformers
Safetensors
step_audio_2
text-generation
audio-reasoning
chain-of-thought
multi-modal
step-audio-r1
custom_code
8-bit precision
compressed-tensors
Instructions to use TransWithAI/Step-Audio-R1-NVFP4A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransWithAI/Step-Audio-R1-NVFP4A16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("TransWithAI/Step-Audio-R1-NVFP4A16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from TransWithAI/Step-Audio-R1-NVFP4A16: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/TransWithAI/Step-Audio-R1-NVFP4A16/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://TransWithAI/Step-Audio-R1-NVFP4A16/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/TransWithAI/Step-Audio-R1-NVFP4A16/resolve/main/tokenizer_config.json
1.2 MB
File too large to display, you can check the raw version instead.