Instructions to use omarimc/musicgen-melody with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarimc/musicgen-melody with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="omarimc/musicgen-melody")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("omarimc/musicgen-melody") model = AutoModelForTextToWaveform.from_pretrained("omarimc/musicgen-melody", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b50f78431db0e22578491d83f47b7578832bd2129dd7867d9402315f5d75809a
- Size of remote file:
- 2.77 GB
- SHA256:
- 4dda87e5dfafc1b59351131d9610002b06fbecc50793a0e3c8ab2e534176cd7f
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