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mohamedrayyan/mms-tts-div-ft-spk01-m01
mms-tts-div-ft-spk01-m01 is a text-to-speech model from mohamedrayyan. Use it when you need text read aloud. The card lists the license as mit.
Dhivehi text-to-speech checkpoint fine-tuned from facebook/mms-tts-div (VITS architecture). Trained as part of the Dhivehi TTS project (mohamedrayyan/chatterbox-tts-dhivehi).
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From the Hugging Face model README
Dhivehi text-to-speech checkpoint fine-tuned from
facebook/mms-tts-div (VITS architecture).
Trained as part of the Dhivehi TTS project
(mohamedrayyan/chatterbox-tts-dhivehi).
from transformers import VitsModel, AutoTokenizer
import torch
model = VitsModel.from_pretrained("mohamedrayyan/mms-tts-dhivehi-ft-spk01-m01")
tokenizer = AutoTokenizer.from_pretrained("mohamedrayyan/mms-tts-dhivehi-ft-spk01-m01")
text = "މިއީ ދިވެހި ބަހުން އަޑުލައިދޭ ނަމޫނާއެކެވެ."
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
audio = model(**inputs).waveform
| Repo | Description |
|---|---|
mohamedrayyan/mms-tts-dhivehi-ft-spk01-m01 | female voice 01 |
mohamedrayyan/mms-tts-dhivehi-md-f02 | female voice 02 |
mohamedrayyan/mms-tts-dhivehi-md-f03 | female voice 03 |
mohamedrayyan/mms-tts-dhivehi-md-m01 | male voice 01 |
mohamedrayyan/mms-tts-dhivehi-spk01-f01 | voice-cloned speaker 01 (f) |
mohamedrayyan/mms-tts-dhivehi-spk01-m01 | voice-cloned speaker 01 (m) |
Quantized (mms-tts-dhivehi-quantized) and ONNX (mms-tts-dhivehi-onnx) exports are
also published. Sample audio in samples_mms/ of the project repo.