Text-to-Speech
Transformers
ONNX
speech-synthesis
multilingual
indic
orpheus
quantized
low-latency
zero-shot
emotions
discrete-audio-tokens
onnxruntime-genai
Instructions to use Prince-1/svara-tts-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prince-1/svara-tts-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Prince-1/svara-tts-v1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prince-1/svara-tts-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 943eac2190bc841b30bc637b3c40b86087d790464f6a459cdb3cabe8b76443ef
- Size of remote file:
- 22.8 MB
- SHA256:
- 044e2a10201774018db120391980464472baabf223bd353cea49b17da0b66abc
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