Audio-to-Audio
Transformers
ONNX
Safetensors
English
Chinese
bailing_moe_v3_audio
feature-extraction
audio
speech
automatic-speech-recognition
audio-understanding
audio-reasoning
speech-to-text
text-to-speech
conversational
mixture-of-experts
custom_code
Instructions to use inclusionAI/Ming-3.0-audio-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/Ming-3.0-audio-tiny with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/Ming-3.0-audio-tiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Ming-3.0-audio-tiny-TDS2026.pdf from inclusionAI/Ming-3.0-audio-tiny: direct link, hf CLI and curl.
- Browser
- Download file 390 kB
-
https://huggingface.co/inclusionAI/Ming-3.0-audio-tiny/resolve/main/Ming-3.0-audio-tiny-TDS2026.pdf
- Command line
-
hf download hf://inclusionAI/Ming-3.0-audio-tiny/Ming-3.0-audio-tiny-TDS2026.pdf
-
curl -L -o Ming-3.0-audio-tiny-TDS2026.pdf https://huggingface.co/inclusionAI/Ming-3.0-audio-tiny/resolve/main/Ming-3.0-audio-tiny-TDS2026.pdf
390 kB
- Xet hash:
- bb362c0b98f1808c163bd6bd3c67e88b3b9823f61036c8214b600fc860125b6e
- Size of remote file:
- 390 kB
- SHA256:
- 5a1aeda056b6a26d7597528f15adb6582fb8d9aaff12720f613cbd8aa8f08d55
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