🤖 OpenAI Whisper in 150 Lines of NumPy
A developer has introduced minWhisper — an implementation of the OpenAI Whisper model's forward pass in just 150 lines of code using the NumPy library. The project utilizes Einsum and Einops operations for conciseness and supports KV-caching to accelerate generation.
🌍 This demonstrates the possibility of extreme optimization and minimization of dependencies in SOTA models, simplifying their porting to various platforms.
👤 It allows for studying the internal mechanics of Whisper without heavy libraries like PyTorch or Transformers.