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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SPRINGLab/Indic-Mio") model = AutoModelForCausalLM.from_pretrained("SPRINGLab/Indic-Mio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download chat_template.jinja from SPRINGLab/Indic-Mio: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/SPRINGLab/Indic-Mio/resolve/main/chat_template.jinja
- Command line
-
hf download hf://SPRINGLab/Indic-Mio/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/SPRINGLab/Indic-Mio/resolve/main/chat_template.jinja
205 Bytes
| {%- for message in messages %} | |
| {{ '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n' }} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{ '<|im_start|>assistant\n' }} | |
| {%- endif %} |