Text-to-Speech
Transformers
Safetensors
llama
text-generation
tts
orpheus
multilingual
multi-speaker
african-languages
low-resource-language
sunbird
snac
unsloth
text-generation-inference
Instructions to use Sunbird/orpheus-3b-tts-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sunbird/orpheus-3b-tts-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sunbird/orpheus-3b-tts-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Sunbird/orpheus-3b-tts-multilingual") model = AutoModelForCausalLM.from_pretrained("Sunbird/orpheus-3b-tts-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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