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Downloads, installs, and manages language models through terminal commands for local use.
Distinct from Command Line Model Inferences: Distinct from Command Line Model Inferences: covers the full lifecycle of model management (download, install, list, remove), not just running inference.
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The simplest way to run LLaMA on your local machine
Manages language models through terminal commands for local use.
WhisperLiveKit is a real-time speech-to-text server that transcribes streaming audio into text with ultra-low latency using Whisper models. It serves transcription capabilities through REST endpoints and WebSocket connections, enabling external applications to send audio and receive transcriptions as words are spoken, making it suitable for live captioning or voice interfaces. The project distinguishes itself by combining real-time transcription with speaker diarization, assigning transcribed words to individual speakers during live audio streams for meeting or interview transcripts. It also
Manages model lifecycle through CLI commands for listing, downloading, and deleting speech recognition models.