Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen3_omni_moe
text-to-audio
audio
audio-language-model
instruction-following
rubric-based-evaluation
judge-model
Instructions to use cucl2/AnyAudio-Judge-30B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cucl2/AnyAudio-Judge-30B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("cucl2/AnyAudio-Judge-30B") model = AutoModelForTextToWaveform.from_pretrained("cucl2/AnyAudio-Judge-30B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf5606fa317000ad4e116ff9d924a66260a8f4e211d199b8013687e9577560e5
- Size of remote file:
- 11.4 MB
- SHA256:
- 09267689b8362020b9763b65dd5be7e086b31e28d72e02837a9e781de9a91bc7
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