Instructions to use developerabu/IndicF5-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use developerabu/IndicF5-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
| license: mit | |
| library_name: onnx | |
| tags: | |
| - text-to-speech | |
| - indic | |
| - onnx | |
| - vocos | |
| - f5-tts | |
| - indian-languages | |
| pipeline_tag: text-to-speech | |
| base_model: ai4bharat/IndicF5 | |
| # IndicF5 ONNX | |
| ONNX exports of [ai4bharat/IndicF5](https://huggingface.co/ai4bharat/IndicF5) (DiT denoiser + Vocos vocoder) for local/CPU inference with ONNX Runtime. | |
| ## Files | |
| | File | Notes | | |
| |------|--------| | |
| | `indicf5_dit_fp32_static.onnx` | DiT, fp32, static shapes (~1.3 GB) | | |
| | `indicf5_vocos_fp32.onnx` | Vocos, fp32, dynamic frames | | |
| | `indicf5_vocos_fp32_static.onnx` | Vocos, fp32, static | | |
| | `indicf5_vocos_fp16.onnx` | Vocos, fp16 | | |
| | `indicf5_vocos_int8.onnx` | Vocos, int8 | | |
| Sample WAVs and mel inputs are under `samples/` (Hindi + Tamil). | |
| ## Notes | |
| - Base model: IndicF5 (~0.35B F5-TTS-style TTS for Indian languages). | |
| - Typical path used here: PyTorch/ONNX DiT mel → ONNX Vocos decode. | |
| - Not realtime on Apple M1 CPU in our benches (DiT dominates). | |
| ## Attribution | |
| Derived from [ai4bharat/IndicF5](https://huggingface.co/ai4bharat/IndicF5). Follow the base model license/terms for redistribution and use. | |