Text-to-Speech
Transformers
Safetensors
English
moss_tts_delay
feature-extraction
tts
speech-synthesis
emotion
emotional-tts
expressive-tts
controllable
indian-english
indian-accent
voice-agent
moss-tts
lora
audio
custom_code
Instructions to use IOTEverythin/roxi-tts-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IOTEverythin/roxi-tts-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="IOTEverythin/roxi-tts-emotion", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IOTEverythin/roxi-tts-emotion", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "MossTTSDelayProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processing_moss_tts.MossTTSDelayProcessor" | |
| }, | |
| "audio_tokenizer_name_or_path": "OpenMOSS-Team/MOSS-Audio-Tokenizer" | |
| } |