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:
# 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
- Xet hash:
- 8c8e063e44cc92c867e91e4c1b31641e01b730c6367bad117c7d3af65b00743c
- Size of remote file:
- 4.95 GB
- SHA256:
- c6a7081330c6f8ab4c50e0f494f5bfbf97600b2e4cb6da7980ec451d2d25b6fc
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