Text-to-Speech
Transformers
Chatterbox
tts
lora
indic
indian-languages
speech-synthesis
voice-cloning
Instructions to use reenigne314/chatterbox-indic-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reenigne314/chatterbox-indic-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="reenigne314/chatterbox-indic-lora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("reenigne314/chatterbox-indic-lora", dtype="auto") - Chatterbox
How to use reenigne314/chatterbox-indic-lora with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
Can you share the training Script
#1 opened about 1 month ago
by
Lzypira