Instructions to use eugenehp/f5tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use eugenehp/f5tts 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
F5-TTS ONNX (RLX staging)
F5-TTS ONNX graphs + vocab for RLX.
| Field | Value |
|---|---|
| Hub id | eugenehp/f5tts |
| Kind | Staging redistrib of an upstream checkpoint for RLX runners. |
| RLX crate | rlx-f5tts |
| Upstream | https://huggingface.co/huggingfacess/F5-TTS-ONNX |
Quick start
hf download eugenehp/f5tts --local-dir .
cargo run -p rlx-f5tts --release -- --model-dir .
File highlights
f5-tts-v1-base-f16.gguf(952.8 MiB)F5_Transformer.onnx(633.6 MiB)F5_Decode.onnx(28.8 MiB)F5_Preprocess.onnx(16.2 MiB)vocab.txt(13.5 KiB)config.json(624 B)
Run with RLX
Clone rlx-models, place this repo under weights/tts/f5tts (or pass the path explicitly), then:
cargo run -p rlx-f5tts --release -- --model-dir .
License
MIT โ see LICENSE. Inherit upstream terms when redistributing.
Original weights and authorship: https://huggingface.co/huggingfacess/F5-TTS-ONNX
Redistrib note
This Hub repo exists so RLX recipes have a stable fetch target. When you only need the upstream checkpoint, prefer the Upstream link above.
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Hardware compatibility
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