This is a converted version of OpenAI's Whisper tiny model for use with Apple's MLX machine learning framework. It enables efficient automatic speech recognition on Apple hardware. The model was converted from the original PyTorch weights using the mlx-examples repository.
Whisper Tiny sits in PulseGate's Voice, TTS & speech category. It focuses on running Whisper speech recognition efficiently on Apple Silicon hardware using the MLX framework. It is built as an open-source project for Apple ML developers. Whisper Tiny is open source under the MIT license. Whisper Tiny is available on the web and API.
It is developed by MLX Community, and it first shipped in 2023. The project is developed in the open on GitHub with 8.9k stars. PulseGate's similarity index places it among 7 comparable projects. Key capabilities include Speech Recognition, Whisper Model, and Apple Silicon.
Summary written by a language model from the project’s public pages.
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