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:
- 1e5f2493e14a42d3e1c3359c16406084b53430f34fd60287611cadee625e8225
- Size of remote file:
- 7.37 GB
- SHA256:
- 5a6eedd0c907637cb19f17c8c4063f3140beb6b0bd91c0c769e2d7c198e1cd8b
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