Text-to-Speech
Transformers
Safetensors
PyTorch
English
moss_tts_delay
feature-extraction
tts
moss-tts
int8
bitsandbytes
reference-conditioned
custom_code
8-bit precision
Instructions to use abliter8-ai/Roo-Voice_MOSS_TTS_LT_int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abliter8-ai/Roo-Voice_MOSS_TTS_LT_int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="abliter8-ai/Roo-Voice_MOSS_TTS_LT_int8", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abliter8-ai/Roo-Voice_MOSS_TTS_LT_int8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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