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
File size: 1,382 Bytes
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license: mit
pipeline_tag: text-to-speech
library_name: rlx
tags:
- f5-tts
- onnx
- rlx
---
# F5-TTS ONNX (RLX staging)
F5-TTS ONNX graphs + vocab for RLX.
| Field | Value |
|---|---|
| **Hub id** | [`eugenehp/f5tts`](https://huggingface.co/eugenehp/f5tts) |
| **Kind** | Staging redistrib of an upstream checkpoint for RLX runners. |
| **RLX crate** | [`rlx-f5tts`](https://github.com/MIT-RLX/rlx-models/tree/main/crates/rlx-f5tts) |
| **Upstream** | https://huggingface.co/huggingfacess/F5-TTS-ONNX |
## Quick start
```bash
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](https://github.com/MIT-RLX/rlx-models), place this repo under `weights/tts/f5tts` (or pass the path explicitly), then:
```bash
cargo run -p rlx-f5tts --release -- --model-dir .
```
## License
MIT — 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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