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This model serves as the foundation for the [MIDI Quality Classifier](https://huggingface.co/SyMuPe/MIDI-Quality-Classifier), presented in the article: [**PianoCoRe: Combined and Refined Piano MIDI Dataset**](https://doi.org/10.5334/tismir.333).
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- **Dataset:** https://huggingface.co/datasets/loubb/aria-midi
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## Architecture
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## Quick Start
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Before using this model, ensure you have the `symupe` library installed
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```python
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import torch
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from symupe import AutoEmbedder
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This model serves as the foundation for the [MIDI Quality Classifier](https://huggingface.co/SyMuPe/MIDI-Quality-Classifier), presented in the article: [**PianoCoRe: Combined and Refined Piano MIDI Dataset**](https://doi.org/10.5334/tismir.333).
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- **TISMIR:** https://doi.org/10.5334/tismir.333
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- **arXiv:** https://arxiv.org/abs/2605.06627
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- **SyMuPe:** https://github.com/ilya16/SyMuPe
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- **PianoCoRe:** https://github.com/ilya16/PianoCoRe
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- **Dataset:** https://huggingface.co/datasets/loubb/aria-midi
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## Architecture
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## Quick Start
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Before using this model, ensure you have the `symupe` library installed:
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```shell
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pip install -U symupe
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```
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Use the following code to embed MIDI files:
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```python
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import torch
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from symupe import AutoEmbedder
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