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
Download tokenizer.json from facebook/musicgen-stereo-medium: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
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https://huggingface.co/facebook/musicgen-stereo-medium/resolve/6fd994568047ae22eff300408c49bbdb5a812577/tokenizer.json
- Command line
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hf download hf://facebook/musicgen-stereo-medium@6fd994568047ae22eff300408c49bbdb5a812577/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/facebook/musicgen-stereo-medium/resolve/6fd994568047ae22eff300408c49bbdb5a812577/tokenizer.json
2.42 MB
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