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")# pip install -U transformers accelerate # 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
Download spiece.model from facebook/musicgen-stereo-medium: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/facebook/musicgen-stereo-medium/resolve/0768fa47eaec34be433977d7d8774ded66c17ff9/spiece.model
- Command line
-
hf download hf://facebook/musicgen-stereo-medium@0768fa47eaec34be433977d7d8774ded66c17ff9/spiece.model
-
curl -L -o spiece.model https://huggingface.co/facebook/musicgen-stereo-medium/resolve/0768fa47eaec34be433977d7d8774ded66c17ff9/spiece.model
792 kB
- Xet hash:
- e7463c1c6b7c46ae0de79b004f3d7318bf4307ef0bef4de3be2e38ae80fab160
- Size of remote file:
- 792 kB
- SHA256:
- d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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