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README.md
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---
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language:
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- en
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- es
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- fr
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- de
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- it
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- pt
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- pl
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- tr
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- ru
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- nl
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- cs
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- ar
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- zh
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- ja
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- ko
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- hu
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- hi
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license: other
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tags:
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- text-to-speech
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- tts
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- xtts
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- mobile
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- pytorch
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---
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# XTTS v2 Mobile Checkpoint
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This repository contains the XTTS v2 model exported for mobile deployment.
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## Model Details
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- **Model**: XTTS v2 (Coqui TTS)
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- **Type**: Multilingual Text-to-Speech
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- **Languages**: 17 languages supported
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- **Sample Rate**: 24kHz
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- **PyTorch Version**: 2.8.0
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## Files
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- `xtts_v2_checkpoint.pth`: Full model checkpoint (1.78 GB)
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- `xtts_v2_mobile.pth`: Mobile-optimized checkpoint (1.78 GB)
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- `config.json`: Model configuration
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- `manifest.json`: File manifest with SHA256 hashes
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## Usage
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### Android/iOS Integration
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1. Download the checkpoint file
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2. Load with LibTorch 2.8.x
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3. Implement tokenization on the app side
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4. Use the model for inference
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### Python Usage
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```python
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import torch
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# Load checkpoint
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checkpoint = torch.load("xtts_v2_mobile.pth", map_location="cpu")
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model_state = checkpoint["model_state_dict"]
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config = checkpoint.get("config", dict())
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```
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## License
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This model is subject to the Coqui Public Model License (CPML).
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For commercial use, please contact: licensing@coqui.ai
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## Notes
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- Exported from the official XTTS v2 model
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- Requires text preprocessing on the application side
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- Speaker embeddings should be computed separately
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