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 talker/__pycache__/__init__.cpython-312.pyc from inclusionAI/Ming-3.0-audio-tiny: direct link, hf CLI and curl.
- Browser
- Download file 317 Bytes
-
https://huggingface.co/inclusionAI/Ming-3.0-audio-tiny/resolve/2fa27bf78b674e1ac394ed5a497131cd5f043b07/talker/__pycache__/__init__.cpython-312.pyc
- Command line
-
hf download hf://inclusionAI/Ming-3.0-audio-tiny@2fa27bf78b674e1ac394ed5a497131cd5f043b07/talker/__pycache__/__init__.cpython-312.pyc
-
curl -L -o __init__.cpython-312.pyc https://huggingface.co/inclusionAI/Ming-3.0-audio-tiny/resolve/2fa27bf78b674e1ac394ed5a497131cd5f043b07/talker/__pycache__/__init__.cpython-312.pyc
317 Bytes
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