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  **Model type:** MusicGen consists of an EnCodec model for audio tokenization, an auto-regressive language model based on the transformer architecture for music modeling. The model comes in different sizes: 300M, 1.5B and 3.3B parameters ; and two variants: a model trained for text-to-music generation task and a model trained for melody-guided music generation.
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- **Paper or resources for more information:** More information can be found in the paper [Simple and Controllable Music Generation][arxiv].
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- **Citation details** See [our paper][arxiv]
 
 
 
 
 
 
 
 
 
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  **License** Code is released under MIT, model weights are released under CC-BY-NC 4.0.
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  **Model type:** MusicGen consists of an EnCodec model for audio tokenization, an auto-regressive language model based on the transformer architecture for music modeling. The model comes in different sizes: 300M, 1.5B and 3.3B parameters ; and two variants: a model trained for text-to-music generation task and a model trained for melody-guided music generation.
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+ **Paper or resources for more information:** More information can be found in the paper [Simple and Controllable Music Generation][https://arxiv.org/abs/2306.05284].
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+ **Citation details**:```
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+ @misc{copet2023simple,
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+ title={Simple and Controllable Music Generation},
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+ author={Jade Copet and Felix Kreuk and Itai Gat and Tal Remez and David Kant and Gabriel Synnaeve and Yossi Adi and Alexandre Défossez},
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+ year={2023},
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+ eprint={2306.05284},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.SD}
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+ }
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+ ```
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  **License** Code is released under MIT, model weights are released under CC-BY-NC 4.0.
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