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:
- 6b2ee768d12781804e5e41fe908cc4faf8cd944112147c60d8caab870314e3eb
- Size of remote file:
- 2.14 GB
- SHA256:
- a5bc069ad4c29ce95eabc7e3d29f5183fb9a3ce752096ef58f2ff4af1ca9f6fb
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