Text-to-Speech
Transformers
ONNX
Safetensors
English
Chinese
bailing_moe_v3_audio
feature-extraction
audio
speech
automatic-speech-recognition
audio-understanding
audio-reasoning
speech-to-text
conversational
mixture-of-experts
custom_code
Instructions to use inclusionAI/Ming-3.0-audio-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/Ming-3.0-audio-flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="inclusionAI/Ming-3.0-audio-flash", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/Ming-3.0-audio-flash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 157 Bytes
6494c37 | 1 2 3 4 5 6 7 | {
"processor_class": "BailingMoeV3AudioProcessor",
"auto_map": {
"AutoProcessor": "processing_bailing_moe_v3_audio.BailingMoeV3AudioProcessor"
}
}
|