A community Google Colab notebook enables RAVE training without local GPU hardware

For learners without access to a CUDA GPU, a community-maintained Google Colab notebook (linked in the RAVE README, thanks to hexorcismos/moiseshorta) enables training RAVEv2 on Colab GPU instances. The notebook handles environment setup, dataset upload, training, and model export. Colab sessions have time limits, so long runs require Colab Pro or strategic checkpointing. This lowers the barrier to entry significantly: a student can train a personal neural synthesizer without local GPU hardware by doing the GPU work in the cloud.

Examples

Click the Colab badge in the RAVE README → upload 1+ hour of mono wav files → run training cells → download the exported .ts file → load in nn~ or the RAVE VST.

Assessment

A student with only a MacBook wants to train a personal RAVE model on their voice recordings. Describe the minimal path from raw recordings to a working nn~ model.