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license: apache-2.0 |
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This is a Small (128M parameter) Transformer trained for 100k 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 Anticipatory Music Transformer paper is available on [ArXiv](http://arxiv.org/abs/2306.08620). |
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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/2023/06/16/anticipatory-music-transformer.html) for additional discussion of this model. |
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