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Update README.md (#4)

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- Update README.md (07cb686d36eec07f5cd4f37e1de63793a234e6a6)


Co-authored-by: paralym <paralym@users.noreply.huggingface.co>

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  1. README.md +7 -1
README.md CHANGED
@@ -7,6 +7,12 @@ tags:
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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.
@@ -123,7 +129,7 @@ Use CURL to query the server directly, note that the newline token `\n` is repre
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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>T:Music21 Fragment<n>T:Music21 Fragment<n>T:Music21<n>C:Music21<n>%%score 1 2 3 4<n>L:1/4<n>M:4/4<n>K:C<n>V:1 treble nm=\"Piano\" snm=\"Pno\"<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:2 treble nm=\"Piano\" snm=\"Pno\"<n>%%MIDI channel 3<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:3 bass nm=\"Piano\" snm=\"Pno\"<n>%%MIDI channel 4<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:4 bass nm=\"Piano\" snm=\"Pno\"<n>%%MIDI channel 5<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:1<n> z3 c | B A G F/E/ | !fermata!E ^F ^G A | B e d c | !fermata!B2 G A | B c d e | %6<n> !fermata!c2"], "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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  T:Music21 Fragment
 
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  - music
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  - art
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  ---
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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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+
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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>T:Music21 Fragment<n>T:Music21 Fragment<n>T:Music21<n>C:Music21<n>%%score 1 2 3 4<n>L:1/4<n>M:4/4<n>K:C<n>V:1 treble nm=\"Piano\" snm=\"Pno\"<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:2 treble nm=\"Piano\" snm=\"Pno\"<n>%%MIDI channel 3<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:3 bass nm=\"Piano\" snm=\"Pno\"<n>%%MIDI channel 4<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:4 bass nm=\"Piano\" snm=\"Pno\"<n>%%MIDI channel 5<n>%%MIDI program 0<n>%%MIDI control 7 100<n>%%MIDI control 10 64<n>V:1<n> z3 c | B A G F/E/ | !fermata!E ^F ^G A | B e d c | !fermata!B2 G A | B c d e | %6<n> !fermata!c2"], "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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  T:Music21 Fragment