Text-to-Speech
Transformers
Safetensors
English
moss_tts_delay
feature-extraction
tts
speech-synthesis
indian-english
indian-accent
voice-agent
voice-assistant
customer-support
conversational
moss-tts
lora
audio
custom_code
Eval Results (legacy)
Instructions to use IOTEverythin/roxi-tts-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IOTEverythin/roxi-tts-pro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="IOTEverythin/roxi-tts-pro", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IOTEverythin/roxi-tts-pro", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {% for message in messages %}<|im_start|>{{ message['role'] }} | |
| {% if message['content'] is string %}{{ message['content'] }}{% else %}{% for content in message['content'] %}{% if content.get('type') == 'text' %}{{ content['text'] }}{% endif %}{% endfor %}{% endif %}<|im_end|> | |
| {% endfor %}{% if add_generation_prompt %}<|im_start|>assistant | |
| {% endif %} |