Instructions to use nibor1896/F5-TTS-English-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use nibor1896/F5-TTS-English-ONNX 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 English β ONNX export
A ready-to-use ONNX Runtime export of the base F5-TTS (F5TTS_v1_Base) checkpoint, packaged for
Horus.F5Tts.Onnx β run F5-TTS text-to-speech
from .NET with no Python. Exported at NFE 32 (the library default).
Files
F5_Preprocess.onnx,F5_Transformer.onnx,F5_Decode.onnxvocab.txt
Usage (.NET)
using var model = F5TtsModel.Load(
"F5_Preprocess.onnx", "F5_Transformer.onnx", "F5_Decode.onnx", "vocab.txt");
var (reference, _) = WavAudio.ReadPcm16("reference_en.wav"); // 24 kHz mono 16-bit PCM
var result = model.Synthesize(reference,
referenceText: "The transcript of the reference clip.",
text: "Hello, how are you today?");
File.WriteAllBytes("out.wav", result.ToWav());
English works with the library's default character-level tokenizer. See the library README for GPU providers and options.
Credits & license
- Model: F5-TTS (
F5TTS_v1_Base) by SWivid. - ONNX export tooling: DakeQQ/F5-TTS-ONNX.
- ONNX files re-hosted from H5N1AIDS/F5-TTS-ONNX, with the matching
F5TTS_v1_Basevocab.txtadded. - License: CC-BY-NC-4.0 β the base F5-TTS weights are non-commercial (SWivid/F5-TTS).
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