Text-to-Speech
Transformers
tts
voice-cloning
yoruba
hausa
igbo
pidgin
nigerian-english
african-languages
Instructions to use Axiveri/WazobiaVoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Axiveri/WazobiaVoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Axiveri/WazobiaVoice")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Axiveri/WazobiaVoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d46b7095ba330a580d944c37bbd4b29fe19ad2e3f1c4a7bd5ac5e9fc71520ffc
- Size of remote file:
- 1.43 MB
- SHA256:
- 13beb2f4d219c5ca5693cd634e37c38672bb1095781fe9acefbbac53dfc1d823
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