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MSA-F5-TTS-Arabic
NightPrince/MSA-F5-TTS-Arabic
MSA-F5-TTS-Arabic is a machine learning model from NightPrince. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for f5-tts. The card lists the license as cc0-1.0.
Fine-tuned F5-TTS on a professional Arabic MSA voice, built by Yahya (NightPrince).
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220
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Repo size
5.4 GB
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.pt5.4 GB · 100%
At a glance
- Library
- f5-tts
- License
- cc0-1.0
- Access
- Public
- Created
- Mar 3, 2026
- Updated
- Mar 3, 2026
- SHA
- ce9ed13d
Base models
Model card
From the Hugging Face model README
MSA F5-TTS Arabic
Fine-tuned F5-TTS on a professional Arabic MSA voice, built by Yahya (NightPrince).
| Field | Value |
|---|---|
| Architecture | F5-TTS v1 Base (Flow Matching + DiT) |
| Base model | SWivid/F5-TTS |
| Training data | 439 clips / ~70 min |
| Sample rate | 24 kHz |
| Language | Arabic MSA + full Tashkeel |
| Final loss | 0.367 (20 epochs) |
| Author | Yahya (NightPrince) |
Usage
from f5_tts.api import F5TTS
from huggingface_hub import hf_hub_download
ckpt = hf_hub_download("NightPrince/MSA-F5-TTS-Arabic", "model.pt")
vocab = hf_hub_download("NightPrince/MSA-F5-TTS-Arabic", "vocab.txt")
tts = F5TTS(model="F5TTS_v1_Base", ckpt_file=ckpt, vocab_file=vocab, device="cuda")
wav, sr, _ = tts.infer(
ref_file="reference.wav",
ref_text="النص المرجعي",
gen_text="بِسْمِ اللَّهِ الرَّحْمٰنِ الرَّحِيمِ",
nfe_step=32
)
- Library
- f5-tts
- License
- cc0-1.0
- Languages
- ar
- Created
- Mar 3, 2026
- Updated
- Mar 3, 2026