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:
- 12553e438eb39fa1116f961b6968c9b21a1ba6237d1120bcdf4b81fd5bab28fa
- Size of remote file:
- 46.4 MB
- SHA256:
- ee3e67175da334f692b3a70e32c2f60037d312bebd749d2a492617e3704b912e
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