Instructions to use BinaryLight1011/Musicbeat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BinaryLight1011/Musicbeat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="BinaryLight1011/Musicbeat")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BinaryLight1011/Musicbeat", device_map="auto") - PEFT
How to use BinaryLight1011/Musicbeat with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abfc05bf678fa6d61e8a2ee2642e8654e26c27c251f784714f6a7d6f4c9c17c4
- Size of remote file:
- 636 kB
- SHA256:
- b57a1c9b5282aa65905914d35b8f0ac53ae909c2cd28fe730e178c86b31a85b0
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