Instructions to use oyemade/speecht5_finetuned_yoruba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oyemade/speecht5_finetuned_yoruba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="oyemade/speecht5_finetuned_yoruba")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("oyemade/speecht5_finetuned_yoruba") model = AutoModelForTextToSpectrogram.from_pretrained("oyemade/speecht5_finetuned_yoruba", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b86a75f12dce4f1a66960cac418c5c6ed9eabd4633954327b0845680bf72fe1
- Size of remote file:
- 578 MB
- SHA256:
- 6dc027f389f9a2be1dd5db6e75393e508785c09929f3a20682d30d8f4da5d2bd
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