Text-to-Speech
Transformers
ONNX
English
bitsandbytes
llama
text-generation-inference
trl
tts
onnxruntime-genai
Instructions to use Prince-1/OrpheusTTS-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prince-1/OrpheusTTS-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Prince-1/OrpheusTTS-ONNX")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prince-1/OrpheusTTS-ONNX", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f4dc41d2c0f0f6d25c10d7142cf42f890c5ddb1240e4e8e9e09f608b3a24094
- Size of remote file:
- 7.6 GB
- SHA256:
- e8617ee0eb6f9085a25d9a47631fd3132456fe5849068ddb13e4a838ded16cbc
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