Instructions to use timothydillan/f5-tts-balinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use timothydillan/f5-tts-balinese 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
F5-TTS β Balinese (v0)
A full fine-tune of F5-TTS (F5TTS_v1_Base) on ~29 min of single-speaker
Balinese speech, part of Open Indonesia Models.
Character-input (no G2P), zero-shot voice cloning. v0 baseline.
model_last.ptβ fine-tuned checkpoint (load via F5-TTS--ckpt_file).vocab.txtβ character vocab (base 2545 vocab; Balinese romanization adds no new chars).
Usage
pip install f5-tts
f5-tts_infer-cli --model F5TTS_v1_Base --ckpt_file model_last.pt --vocab_file vocab.txt \
--ref_audio <clean_same_speaker.wav> --ref_text "<ref transcript>" \
--gen_text "Rahajeng semeng" --output_dir out --output_file demo.wav
Known v0 limitation
Words ending in "e" can drop the final vowel (Balinese final-e is often a reduced schwa /Ι/; character input doesn't disambiguate). A Balinese G2P / data fix is planned.
License & attribution
Base F5-TTS weights: CC BY-NC 4.0 (non-commercial). Trained on a Balinese TTS dataset (single speaker). For research / non-commercial use.
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