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:
- 49c19d653e71123b76a317b69729233e3c1fa9b333d5faf16057ca6248f73abe
- Size of remote file:
- 5.37 kB
- SHA256:
- 41c7b7034cc41b49be7681edabe383655966cf3cee54ab41f6a846ffb9742cb2
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