Text-to-Speech
Transformers
Safetensors
llama
text-generation
tts
speech
audio
indic
multilingual
code-switching
code-mixing
stem
education
indic-speak
text-generation-inference
Instructions to use bodhan-ai/indic-speak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bodhan-ai/indic-speak with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bodhan-ai/indic-speak")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bodhan-ai/indic-speak") model = AutoModelForCausalLM.from_pretrained("bodhan-ai/indic-speak", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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