Instructions to use pyp1/VoiceCraft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyp1/VoiceCraft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="pyp1/VoiceCraft")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pyp1/VoiceCraft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9df05766afbb6514f62f23ced3eb21264d40ebe51d54579afc49c5b1dad1d8e9
- Size of remote file:
- 1.17 GB
- SHA256:
- c8117e5f0408d23b151af7d3b172587a3a0114b3cb6a5b0c98cd45c7122de2bc
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