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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c11dffe7eaa79bce23ed1c8fe67c5dc4dc92ce4f0cec0fdd810f479f0204b76b
- Size of remote file:
- 7.37 GB
- SHA256:
- 5f31c60b949484a29776940c2b331acda66e5359a80b4605e48232c8776ed8f3
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