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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Joeyfully/Voice-Generation") model = AutoModelForTextToSpectrogram.from_pretrained("Joeyfully/Voice-Generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Joeyfully/Voice-Generation: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/Joeyfully/Voice-Generation/resolve/main/.gitattributes
- Command line
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hf download hf://Joeyfully/Voice-Generation/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Joeyfully/Voice-Generation/resolve/main/.gitattributes
159 Bytes
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| spm_char.model filter=lfs diff=lfs merge=lfs -text | |
| training_state.pt filter=lfs diff=lfs merge=lfs -text | |