---
license: cc-by-4.0
library_name: f5-tts
datasets:
- SPRINGLab/IndicTTS-Hindi
- SPRINGLab/IndicVoices-R_Hindi
language:
- hi
pipeline_tag: text-to-speech
base_model:
- SPRINGLab/F5-Hindi-24KHz
tags:
- f5-tts
- hindi
- tts
- fine-tuned
---
# F5-TTS Hindi
Fine-tuned F5-TTS model for Hindi text-to-speech.
## Training Details
- **Base model:** SPRINGLab/F5-Hindi-24KHz (151M params, F5-TTS Small)
- **Datasets:** IndicTTS-Hindi + IndicVoices-R_Hindi
- **Learning rate:** 1e-05
- **Epochs:** 10
- **Batch size:** 200 frames/GPU
- **Architecture:** DiT (dim=768, depth=18, heads=12) + ConvNeXt V2 (dim=512, layers=4)
- **Audio:** 24kHz, 100-dim mel spectrogram, Vocos vocoder
## Usage
```python
from f5_tts.api import F5TTS
model = F5TTS(
    model_type="F5-TTS",
    ckpt_file="path/to/model_last.pt",  
    vocab_file="path/to/vocab.txt",
)
wav, sr, _ = model.infer(
    ref_file="reference.wav",
    ref_text="संदर्भ पाठ हिंदी में",
    gen_text="आपका दिन शुभ हो",
)
```