Instructions to use amrhym/xttsv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use amrhym/xttsv2 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: 894 Bytes
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language: ar
license: cc-by-nc-sa-4.0
tags:
- text-to-speech
- arabic
- f5-tts
library_name: f5-tts
pipeline_tag: text-to-speech
---
# xttsv2
Mirror of [SWivid/Habibi-TTS](https://huggingface.co/SWivid/Habibi-TTS) — open-source Arabic dialectal TTS built on F5-TTS.
Original work: *Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis* — see https://github.com/SWivid/Habibi-TTS and https://arxiv.org/abs/2601.13802.
## Licensing (per-dialect, from upstream)
| Dialect / Model | License |
|---|---|
| Unified, SAU, UAE | CC-BY-NC-SA-4.0 (non-commercial) |
| MSA, EGY, IRQ, MAR, ALG | Apache 2.0 |
If you intend commercial use, restrict yourself to the Apache-2.0 dialects (MSA / EGY / IRQ / MAR / ALG).
## Source attribution
- Upstream model: `SWivid/Habibi-TTS`
- Underlying TTS framework: `SWivid/F5-TTS`
- Vocoder: `charactr/vocos-mel-24khz`
|