Instructions to use SWivid/E2-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use SWivid/E2-TTS 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
File size: 619 Bytes
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license: cc-by-nc-4.0
pipeline_tag: text-to-speech
library_name: f5-tts
datasets:
- amphion/Emilia-Dataset
---
Download [F5-TTS](https://huggingface.co/SWivid/F5-TTS/tree/main/F5TTS_Base) or [E2 TTS](https://huggingface.co/SWivid/E2-TTS/tree/main/E2TTS_Base) and place under ckpts/
```
ckpts/
F5TTS_v1_Base/
model_1250000.safetensors
F5TTS_Base/
model_1200000.safetensors
E2TTS_Base/
model_1200000.safetensors
```
Github: https://github.com/SWivid/F5-TTS
Paper: [E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS](https://huggingface.co/papers/2406.18009) |