yeyupiaoling/Whisper-Finetune

Implements parameter-efficient fine-tuning using LoRA adapters while maintaining compatibility with OpenAI's base Whisper models across all variants (tiny through large-v3-turbo). Provides dual inference acceleration paths through CTranslate2 and GGML quantization, enabling deployment across heterogeneous platforms without requiring model conversion—original Whisper checkpoints convert directly. Integrates with PyTorch/Transformers ecosystem and includes end-to-end tooling: training pipelines supporting mixed data conditions, evaluation harnesses, and turnkey deployment templates for web services, Windows desktop (native apps), and Android via JNI bindings.

1,200 stars.