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
can you release individual language checkpoints?
#2
by trysem - opened
expecting malayalam
The model supports Malayalam. I don't see any advantage in releasing language specific checkpoints.
Its very compute heavy, malayalam has no good tts models till the day. If a seperate checkpoint is available , can easily be used in browser via onnx wasm.. helpful for reading malayalam research papers and conducting research in malayalam for students like us. No high end computer