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stanford-crfm/music-small-100k
music-small-100k is a machine learning model from stanford-crfm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This is a Small (128M parameter) Transformer trained for 100k steps on arrival-time encoded music from the Lakh MIDI dataset. This model was trained with anticipation.
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From the Hugging Face model README
This is a Small (128M parameter) Transformer trained for 100k steps on arrival-time encoded music from the Lakh MIDI dataset. This model was trained with anticipation.
The Anticipatory Music Transformer paper is available on ArXiv.
The full model card is available here.
Code for using this model is available on GitHub.
See the accompanying blog post for additional discussion of this model.