Text-to-Speech
Transformers
Safetensors
moss_tts_local
feature-extraction
voice-cloning
custom_code
moss-tts
moss-tts-local
Instructions to use OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af1f1c90ee2bd2c354f9a1d91859d7dfe7ac3144bdbd3fefe7e4c5299b4a84bc
- Size of remote file:
- 11.4 MB
- SHA256:
- 06902d1fb775216338802205886a24bc715ccc606bd872a892e3d3c83ca1b9e2
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