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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7d812748e4c5f35b0230a02247d95403e744226e5382b32775cf4bcca284e68
- Size of remote file:
- 1.75 GB
- SHA256:
- 35e028b8c5237cb4a6050ca81d4569b98e3a34ad9175fa252f7b1d13e6a9ad26
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