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MAEST is a family of Transformer models based on [PASST](https://github.com/kkoutini/PaSST) and
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focused on music analysis applications.
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The MAEST models are also available for inference in the [Essentia](https://essentia.upf.edu/models.html#maest) library and for inference and training in the [official repository](https://github.com/palonso/MAEST).
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> Note: This model is available under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license for non-commercial applications and under proprietary license upon request.
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> [Contact us](https://www.upf.edu/web/mtg/contact) for more information.
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MAEST is a family of Transformer models based on [PASST](https://github.com/kkoutini/PaSST) and
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focused on music analysis applications.
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The MAEST models are also available for inference in the [Essentia](https://essentia.upf.edu/models.html#maest) library and for inference and training in the [official repository](https://github.com/palonso/MAEST).
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You can try the MAEST interactive demo on [replicate](https://replicate.com/mtg/maest).
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> Note: This model is available under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license for non-commercial applications and under proprietary license upon request.
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> [Contact us](https://www.upf.edu/web/mtg/contact) for more information.
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