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tags: |
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- gpt2 |
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- text-generation |
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- music-modeling |
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- music-generation |
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widget: |
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- text: "PIECE_START" |
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- text: "PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=60" |
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- text: "PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=58" |
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--- |
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# GPT-2 for Music |
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Language Models such as GPT-2 can be used for Music Generation. The idea is to represent pieces of music as texts, effectively reducing the task to Language Generation. |
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This model is a rather small instance of GPT-2 trained on [TristanBehrens/js-fakes-4bars](https://huggingface.co/datasets/TristanBehrens/js-fakes-4bars). The model generates 4 bars at a time of Bach-like chorales with four voices (soprano, alto, tenor, bass). |
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If you are contribute, if you want to say hello, if you want to know more, find me on [LinkedIn](https://www.linkedin.com/in/dr-tristan-behrens-734967a2/) |
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## Model description |
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The model is GPT-2 with 6 decoders and 8 attention-heads each. The context length is 512. The embedding dimensions are 512 as well. The vocabulary size is 119. |
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## Intended uses & limitations |
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This model is just a proof of concept. It shows that HuggingFace can be used to compose music. |
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### How to use |
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There is a notebook in the repo that you can run on Google Colab. |
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### Limitations and bias |
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Since this model has been trained on a very small corpus of music, it is overfitting heavily. |
