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  license: apache-2.0
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  license: apache-2.0
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+ This is a Small (128M parameter) Transformer trained for 800k steps on arrival-time encoded music from the [Lakh MIDI dataset](https://colinraffel.com/projects/lmd/). This model was trained with anticipation.
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+ # References for the Anticipatory Music Transformer
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+ The full model card is available [here](https://johnthickstun.com/assets/pdf/music-modelcard.pdf).
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+ Code for using this model is available on [GitHub](https://github.com/jthickstun/anticipation/).
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+ See the accompanying [blog post](https://crfm.stanford.edu/2023/06/14/anticipatory-music-transformer.html?idx=1#demo-example) for additional discussion of this model.