Text-to-Speech
Transformers
Safetensors
moss_tts_local
feature-extraction
voice-cloning
custom_code
moss-tts
moss-tts-local
Instructions to use ArchiveStudio/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 ArchiveStudio/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="ArchiveStudio/MOSS-TTS-Local-Transformer-v1.5", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArchiveStudio/MOSS-TTS-Local-Transformer-v1.5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 254 Bytes
591e5ba | 1 2 3 4 5 6 7 8 9 10 | from .configuration_moss_tts import MossTTSLocalConfig
from .modeling_moss_tts import MossTTSLocalModel
from .processing_moss_tts import MossTTSLocalProcessor
__all__ = [
"MossTTSLocalConfig",
"MossTTSLocalModel",
"MossTTSLocalProcessor",
]
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