For usage instructions follow
openai/whisper-large-v3-turbo.
Note for faster-whisper vocab changes make model.is_multilingual and suppress_tokens wrong. Please adjust the code as required if you want to use this with faster-whisper.
Turbo finetune with japanese tokenizer. Full finetune trained 2^19 steps, batch size 64. Smaller vocab with ~1.6x bytes/token allows faster speed with 4 layers vs 2 layer distil (10% larger decoder).
Benchmarks. Short form slightly behind v0.2 (trained less?) but long form much better. Also trained for lyrics but untested.
