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
| 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) |