Any-to-Any
Transformers
Safetensors
English
Korean
raon
feature-extraction
speech
audio
multimodal
mixture-of-experts
text-to-speech
automatic-speech-recognition
custom_code
Instructions to use KRAFTON/A.X-K2-Raon-Speech-21B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRAFTON/A.X-K2-Raon-Speech-21B-A3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KRAFTON/A.X-K2-Raon-Speech-21B-A3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2311afc71719bfe02636f5b2b0f9a3a093972a61935e7b92a90f32850201993
- Size of remote file:
- 591 kB
- SHA256:
- 58083470892e9907203198c191e408db090c6b5d28da13b10d29e710546fb4e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.