Python
Fine tuning a Hugging Face transformer model for multi-track music generation
To train a PyTorch Transformer for multi-track music generation, the standard paradigm is to convert MIDI events into a sequential text-like language (tokens) that a decoder-only Transformer (like GPT) can read autoregressively. To handle multiple tracks (e.g., Piano, Drums, Bass) in a single stream, we use an architecture inspired by Read more