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:
- 654c2d78691b2e4667d7835b6fa3d1fc6e7b11bf5516be8560e89cefd9acfcec
- Size of remote file:
- 3.36 GB
- SHA256:
- 19f30c235da7b84d2ed8d9e368b480bcebe44744f98106a204b5353e18ee8e9a
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