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:
- 629fc34d441ae65ffe4666e1ac0a38488a09335e96e041dc392153dd42ea9ac7
- Size of remote file:
- 3.51 GB
- SHA256:
- b4d4657718895e19b1544d6a3e8951742433f6971ed838da0c94886fdcaa1a6a
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