Instructions to use Sunbird/tts-vits-lug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sunbird/tts-vits-lug with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sunbird/tts-vits-lug", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is a sunbird VITS model that was trained on high quality luganda data.
pip install unidecode
pip install https://github.com/SunbirdAI/vits/archive/inference.zip
from training.hf_wrapper import VITSInfereceAdapterModel
vits_model = VITSInfereceAdapterModel.from_pretrained("Sunbird/VITS_Luganda_Studio", G_net_path = "G_2800.pth")
from IPython.display import display, Audio
result = vits_model.encode_text("Njagala kugenda ku makerere kati",cleaner_names=["custom_cleaners"], cleaner_regex = ":!\?>\.;,")
display(Audio(result, rate=22000))
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