Text-to-Speech
Transformers
Safetensors
moss_tts_realtime
feature-extraction
audio
moss-tts
custom_code
Instructions to use OpenMOSS-Team/MOSS-TTS-Realtime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-TTS-Realtime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="OpenMOSS-Team/MOSS-TTS-Realtime", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-TTS-Realtime", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b4076e11976b8f35a16feaecd50a50cd6487bcc6cbad6af7bcb2a9f651cca7e
- Size of remote file:
- 11.4 MB
- SHA256:
- a474913a182c0ad6297e47244a990659638b3093121fa92a4701fd45bd95c921
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