Instructions to use Joeyfully/Voice-Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joeyfully/Voice-Generation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Joeyfully/Voice-Generation")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Joeyfully/Voice-Generation") model = AutoModelForTextToSpectrogram.from_pretrained("Joeyfully/Voice-Generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6574dacde374a0de98c5998bb40064f3fdd52a5153e0d1ad5b056f4eb6a3a9f7
- Size of remote file:
- 1.16 GB
- SHA256:
- d6728e2c3350d998d07f76e704db95d7eb82bf3c8ecc8e8cec212e07afb3c161
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