Instructions to use facebook/musicgen-stereo-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/musicgen-stereo-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="facebook/musicgen-stereo-small")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/musicgen-stereo-small") model = AutoModelForTextToWaveform.from_pretrained("facebook/musicgen-stereo-small") - Audiocraft
How to use facebook/musicgen-stereo-small with Audiocraft:
from audiocraft.models import MusicGen model = MusicGen.get_pretrained("facebook/musicgen-stereo-small") descriptions = ['happy rock', 'energetic EDM', 'sad jazz'] wav = model.generate(descriptions) # generates 3 samples. - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b43565ec3485f3bc1204dc3bd77b5fd4083d1bb4896eac54dec1aaf698c1dd9
- Size of remote file:
- 874 MB
- SHA256:
- 4b2a5fd7544ce68f1f3576871697ee459b7a237488e352da2db073c84bd3be65
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