Instructions to use onurio/musicgen-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onurio/musicgen-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="onurio/musicgen-large")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("onurio/musicgen-large") model = AutoModelForTextToWaveform.from_pretrained("onurio/musicgen-large", device_map="auto") - Audiocraft
How to use onurio/musicgen-large with Audiocraft:
from audiocraft.models import MusicGen model = MusicGen.get_pretrained("onurio/musicgen-large") descriptions = ['happy rock', 'energetic EDM', 'sad jazz'] wav = model.generate(descriptions) # generates 3 samples. - Notebooks
- Google Colab
- Kaggle
Download compression_state_dict.bin from onurio/musicgen-large: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
-
https://huggingface.co/onurio/musicgen-large/resolve/main/compression_state_dict.bin
- Command line
-
hf download hf://onurio/musicgen-large/compression_state_dict.bin
-
curl -L -o compression_state_dict.bin https://huggingface.co/onurio/musicgen-large/resolve/main/compression_state_dict.bin
589 Bytes
- Xet hash:
- 14faaf7c15ad234d636f7dcba11c03dc62db1386302dd8eb68b1c9d29c05c8c3
- Size of remote file:
- 589 Bytes
- SHA256:
- 43c990a49a2c179f5d1a084db79f62a06384c186b4afc134c4eb49a8297a06a7
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