Text-to-Speech
Transformers
Safetensors
Yoruba
yoruba_cfm_dit
tts
yoruba
diffusion
conditional-flow-matching
encodec
speech-synthesis
custom_code
Instructions to use FloatinggOnion/yoruba-cfm-dit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FloatinggOnion/yoruba-cfm-dit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="FloatinggOnion/yoruba-cfm-dit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FloatinggOnion/yoruba-cfm-dit", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!