Update README.md (#3)
Browse files- Update README.md (161b3eeded769123c06fb4f1b8f34fb9724a492a)
Co-authored-by: paralym <paralym@users.noreply.huggingface.co>
README.md
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- music
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- art
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---
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## SMuPT: Symbolic Music Generative Pre-trained Transformer
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SMuPT is a series of pre-trained models for symbolic music generation. It was trained on a large-scale dataset of symbolic music, including millions of monophonic and polyphonic pieces from different genres and styles. The models are trained with the LLama2 architecture, and can be further used for downstream music generation tasks such as melody generation, accompaniment generation, and multi-track music generation.
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```shell
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curl 'http://localhost:6000/api' -X 'PUT' -H 'Content-Type: application/json; charset=UTF-8' -d '{"prompts":["X:1<n>L:1/8<n>Q:1/8=200<n>M:4/4<n>K:Gmin<n>|:\"Gm\" BGdB"], "tokens_to_generate":4096}'
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```
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Output:
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```shell
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X:1
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```
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Once you encode the generated tokens into audio, you will hear the following music.
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- music
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- art
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---
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<div align="center">
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<img src="Yi_logo.svg" width="150px" style="display: inline-block;">
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<img src="m-a-p.png" width="150px" style="display: inline-block;">
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</div>
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## SMuPT: Symbolic Music Generative Pre-trained Transformer
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SMuPT is a series of pre-trained models for symbolic music generation. It was trained on a large-scale dataset of symbolic music, including millions of monophonic and polyphonic pieces from different genres and styles. The models are trained with the LLama2 architecture, and can be further used for downstream music generation tasks such as melody generation, accompaniment generation, and multi-track music generation.
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```shell
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curl 'http://localhost:6000/api' -X 'PUT' -H 'Content-Type: application/json; charset=UTF-8' -d '{"prompts":["X:1<n>L:1/8<n>Q:1/8=200<n>M:4/4<n>K:Gmin<n>|:\"Gm\" BGdB"], "tokens_to_generate":4096}'
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```
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Processed Output:
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```shell
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X:1
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L:1/8
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Q:1/8=200
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M:4/4<n>K:Gmin
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|:\"Gm\" BGdB fdBG |\"F\" AFcF dFcF |\"Gm\" BGdG gFBF |\"F\" AFAG AF F2 |\"Gm\" BGBd fffd |\"F\" cdcB cdeg |
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\"Gm\" fdcB\"Eb\" AFcA |1 BGFG\"F\" AFGc :|2 BGFG\"F\" AF F2 ||<eos>
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```
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Once you encode the generated tokens into audio, you will hear the following music.
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