Instructions to use facebook/musicgen-stereo-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/musicgen-stereo-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="facebook/musicgen-stereo-medium")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("facebook/musicgen-stereo-medium") model = AutoModelForTextToWaveform.from_pretrained("facebook/musicgen-stereo-medium", device_map="auto") - Audiocraft
How to use facebook/musicgen-stereo-medium with Audiocraft:
from audiocraft.models import MusicGen model = MusicGen.get_pretrained("facebook/musicgen-stereo-medium") descriptions = ['happy rock', 'energetic EDM', 'sad jazz'] wav = model.generate(descriptions) # generates 3 samples. - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f85c3c8fce5fd5f73b9ee849c42a5de7a735a1a68566faebe77e4fc6c485972
- Size of remote file:
- 4.07 GB
- SHA256:
- 6523842dae8a5b1003c00eb6a65d7fe753c2063b6ea55e320df8f16057f11771
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