IndicF5 Kannada Bedtime
Fine-tuned ai4bharat/IndicF5 on Kannada bedtime-story speech.
Model source
- Kind
- Other
- File size
- 1.26 GB
- Base model
- ai4bharat/IndicF5
- Version
- vRevision 538cb93
- Updated
- Sep 13, 2026
- Downloads
- 0
- Source
- Hugging Face
Source description
IndicF5 Kannada Bedtime Story Fine-Tune
Fine-tuned ai4bharat/IndicF5 on Kannada bedtime-story speech.
Training Details
- Base model: ai4bharat/IndicF5 (0.4B params)
- Training data: Rasa Kannada (18 clips, ~2min)
- Training steps: 300
- Learning rate: 1e-5
- Final loss: 0.4553
- GPU: A100-80GB (Modal)
How to Use
from transformers import AutoModel
import soundfile as sf
model = AutoModel.from_pretrained(
"mitvho09/IndicF5-Kannada-Bedtime",
trust_remote_code=True,
)
audio = model(
"ಮಕ್ಕಳೇ, ನಿದ್ರೆ ಮಾಡಿ.",
ref_audio_path="reference.wav",
ref_text="transcript of reference",
)
sf.write("output.wav", audio, 24000)
Evaluation
Compare stock vs fine-tuned audio in the comparison/ directory.
Fine-Tuning Details
This is an experimental fine-tune for the DreamVoice competition badge. Stock IndicF5 may perform better for general Kannada TTS.
Sources
1 source
Sources
1 sourceVerified Sep 13
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- language: kn tags: - text-to-speech - kannada - indicf5 - bedtime-stories base_model: ai4bharat/IndicF5 library_name: transformers license: mit --- # IndicF5 Kannada Bedtime Story Fine-Tune Fine-tuned [ai4bharat/IndicF5](https://huggingface.co/ai4bharat/IndicF5) on Kannada bedtime-story speech. ## Training Details - **Base model**: ai4bharat/IndicF5 (0.4B params) - **Training data**: Rasa Kannada (18 clips, ~2min) - **Training steps**: 300 - **Learning rate**: 1e-5 - **Final loss**: 0.4553 - **GPU**: A100-80GB (Modal) ## How to Use ```python from transformers import AutoModel import soundfile as sf model = AutoModel.from_pretrained( "mitvho09/IndicF5-Kannada-Bedtime", trust_remote_code=True, ) audio = model( "ಮಕ್ಕಳೇ, ನಿದ್ರೆ ಮಾಡಿ.", ref_audio_path="reference.wav", ref_text="transcript of reference", ) sf.write("output.wav", audio, 24000) ``` ## Evaluation Compare stock vs fine-tuned audio in the `comparison/` directory. ## Fine-Tuning Details This is an experimental fine-tune for the DreamVoice competition badge. Stock IndicF5 may perform better for general Kannada TTS.
Source context: 0 downloads · 1 likes · Pipeline text-to-speech · Library transformers · Repo mitvho09/IndicF5-Kannada-Bedtime
