Instructions to use declare-lab/mustango with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/mustango with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="declare-lab/mustango")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("declare-lab/mustango", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- amaai-lab/MusicBench
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tags:
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- music
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---
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<div align="center">
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eprint={2311.08355},
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archivePrefix={arXiv},
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}
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```
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- amaai-lab/MusicBench
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tags:
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- music
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- text-to-audio
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- text-to-music
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pipeline_tag: text-to-audio
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---
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<div align="center">
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eprint={2311.08355},
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archivePrefix={arXiv},
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}
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```
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