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Music Large 800k
This is a large Transformer model with 780 million parameters, specifically designed for music generation and transcription tasks, using anticipatory training methods.
Downloads 73
Release Time : 3/13/2024
Model Overview
The model is based on the Transformer architecture, primarily used for music generation and transcription tasks, trained on multiple public MIDI datasets and commercial music recordings.
Model Features
Anticipatory Training Method
Employs a unique training approach that may enhance the model's understanding of musical structure and timing.
Large-scale Training Data
Combines multiple public datasets and commercial music recordings, providing rich and diverse training data.
Music Transcription Capability
Capable of transcribing audio into musical notation representations.
Model Capabilities
Music generation
Music transcription
Musical notation processing
Use Cases
Music Composition
Automatic Music Generation
Generates new musical works based on given musical fragments or themes
Music Analysis
Music Transcription
Converts audio files into MIDI or other musical notation representations
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