Tunesformer Mirror

The Tunesformer model is an innovative music generation framework based on deep learning; it employs a sophisticated neural network architecture to simulate the complex process of music creation. By learning from a vast array of musical data, the model can understand and grasp the intrinsic patterns of musical elements such as style, rhythm, harmony, and melody. Leveraging its powerful feature extraction and pattern recognition capabilities, Tunesformer can generate new musical works with a high degree of originality and artistry. It also has the ability to adapt and optimize, continuously improving and adjusting the generated music based on user feedback and preferences to better meet their expectations and needs. As a cutting-edge music generation technology, the Tunesformer model has brought revolutionary changes and endless possibilities to fields such as music creation, music education, and music therapy.

Usage

from modelscope import snapshot_download
model_dir = snapshot_download('Genius-Society/tunesformer')

Maintenance

git clone [email protected]:Genius-Society/tunesformer
cd tunesformer

References

[1] https://github.com/sander-wood/tunesformer
[2] https://huggingface.co/sander-wood/tunesformer
[3] https://huggingface.co/datasets/sander-wood/irishman