Instructions to use facebook/musicgen-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/musicgen-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="facebook/musicgen-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/musicgen-large") model = AutoModelForTextToWaveform.from_pretrained("facebook/musicgen-large") - Notebooks
- Google Colab
- Kaggle
Create Hymne CSM Bonneuil sur Marne – JSON Prompt Studio-Ready
#24 opened 5 months ago
by
Hichem9431
Gguf conversion
👍 1
#23 opened over 1 year ago
by
Priderock
how to get best result
#22 opened over 1 year ago
by
Sengil
Update README.md
#20 opened about 2 years ago
by
reach-vb
Adding `safetensors` variant of this model
#18 opened over 2 years ago
by
SFconvertbot
Tensors size error when generating audio incrementally.
#16 opened over 2 years ago
by
severos
How do I convert this model to Onnx format
2
#14 opened over 2 years ago
by
softwareweaver
Faster MusicGen Generation with Streaming
❤️ 1
1
#13 opened over 2 years ago
by
sanchit-gandhi
What's the usage of `pytorch_model-XXXXX-of-00002.bin`?
4
#9 opened almost 3 years ago
by
Tunan01
Runtime is about 2x slower than with Meta's own audiocraft code
4
#8 opened almost 3 years ago
by
lemonflourorange
Get audio embeddings
1
#6 opened almost 3 years ago
by
epinnock
Error when attempting to run on a P40
#2 opened almost 3 years ago
by
ReXommendation
Audiocraft - MusicGen full tutorial for your PC + google colab - can generate 30 seconds
😔 2
#1 opened almost 3 years ago
by
MonsterMMORPG