Instructions to use sammoran-phd/cara-native-acestep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sammoran-phd/cara-native-acestep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="sammoran-phd/cara-native-acestep")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sammoran-phd/cara-native-acestep", device_map="auto") - PEFT
How to use sammoran-phd/cara-native-acestep with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a752fec985a05289c37e3b94a8c3f8657c49056e188ce5f39402b68b79465f28
- Size of remote file:
- 24.4 MB
- SHA256:
- cb50335192a9256b74b8c116c4b896435a1be9a956376fc446e2616ae0b9c5a6
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