Instructions to use OpenSound/CapSpeech-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenSound/CapSpeech-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="OpenSound/CapSpeech-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenSound/CapSpeech-models", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 745efe330dff600f7ae8e742731f3be08625e2b95b656d3469711d367ba987dd
- Size of remote file:
- 2.46 GB
- SHA256:
- ec5f0b71af8e421e86c1ca9fc0cbab95c42b4580436d56b0752b510edb471e92
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