Text-to-Speech
Transformers
Safetensors
PyTorch
English
moss_tts_delay
feature-extraction
tts
moss-tts
bf16
reference-conditioned
custom_code
Instructions to use abliter8-ai/Roo-Voice_MOSS_TTS_LT_bf16 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_bf16 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_bf16", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abliter8-ai/Roo-Voice_MOSS_TTS_LT_bf16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 184 Bytes
987eb44 | 1 2 3 4 5 6 7 | {
"processor_class": "MossTTSDelayProcessor",
"auto_map": {
"AutoProcessor": "processing_moss_tts.MossTTSDelayProcessor"
},
"audio_tokenizer_name_or_path": "/input/codec"
} |