Instructions to use ragunath-ravi/indic5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use ragunath-ravi/indic5 with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
IndicF5 Tamil Fine-Tuned Model
This is a fine-tuned version of ai4bharat/IndicF5 optimized for high-quality, natural Tamil speech synthesis and zero-shot voice cloning.
Model Details
- Base Model:
ai4bharat/IndicF5 - Fine-Tuning Dataset:
TamilVoiceCorpus(PureVox split) - Fine-Tuning Method: Adapter-style training (Transformer backbone frozen, text embedding and projection layers updated)
- Language: Tamil (ta)
Files Included
model_last.pt: Fine-tuned PyTorch checkpoint.vocab.txt: Character vocabulary mapping generated from the Tamil dataset.
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