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:
- f4700de28bb3c72fbcb448d5f3445210c993b9292de359d9ea6163ca555a529e
- Size of remote file:
- 254 kB
- SHA256:
- 9869a3dffc14b2b762e2cab41276f1a625536b34f3668d611858e24f63a3189d
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