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