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:
- 04e92b261689fe81e323ab81bee332fa5e301d6eed411cb57129859b1c747c5a
- Size of remote file:
- 592 kB
- SHA256:
- aa0bac3798cde1c720345c32fd838b1f23b69a97d84695efb5ccb6dca331e93a
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