Text-to-Speech
Transformers
Safetensors
qwen3
text-generation
speech
tts
voice
text-generation-inference
Instructions to use SPRINGLab/Indic-Mio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SPRINGLab/Indic-Mio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="SPRINGLab/Indic-Mio")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SPRINGLab/Indic-Mio") model = AutoModelForCausalLM.from_pretrained("SPRINGLab/Indic-Mio") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4395c726c44955208a22370b04bd59e627571054bef0944345e91b43d9cc3534
- Size of remote file:
- 13.8 MB
- SHA256:
- abcde038b87ccd029a4523b0c5cec1da6d84b4f3d68b351495df086d63033f1f
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