Duplicated from inclusionAI/Ming-3.0-audio-flash
How to use eshmoideas/Ming-audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="eshmoideas/Ming-audio", 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("eshmoideas/Ming-audio", trust_remote_code=True, device_map="auto")
https://huggingface.co/eshmoideas/Ming-audio/resolve/main/talker/front/__pycache__/text_segment_cut.cpython-312.pyc
hf download hf://eshmoideas/Ming-audio/talker/front/__pycache__/text_segment_cut.cpython-312.pyc
curl -L -o text_segment_cut.cpython-312.pyc https://huggingface.co/eshmoideas/Ming-audio/resolve/main/talker/front/__pycache__/text_segment_cut.cpython-312.pyc
