Instructions to use SWivid/F5-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use SWivid/F5-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
metadata
license: cc-by-nc-4.0
pipeline_tag: text-to-speech
library_name: f5-tts
datasets:
- amphion/Emilia-Dataset
Download F5-TTS or E2 TTS 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: F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching