Run AI Models On-Device — Zero Config, Five Minutes
You already know why on-device AI matters. Privacy, latency, cost. You've read the guides. Now you want to actually do it. Here's what that looks like with Xybrid — no tensor shapes, no preprocessi...
Source: DEV Community
You already know why on-device AI matters. Privacy, latency, cost. You've read the guides. Now you want to actually do it. Here's what that looks like with Xybrid — no tensor shapes, no preprocessing scripts, no ML expertise. Install # macOS / Linux curl -sSL https://raw.githubusercontent.com/xybrid-ai/xybrid/master/install.sh | sh # Windows (PowerShell) irm https://raw.githubusercontent.com/xybrid-ai/xybrid/master/install.ps1 | iex Text-to-Speech xybrid run --model kokoro-82m --input "Hello from the edge" --output hello.wav That's it. Xybrid resolved the model from the registry, downloaded it, ran inference, and saved a WAV file. You configured nothing. Kokoro is an 82M parameter TTS model with 24 voices. First run downloads ~80MB and caches it locally. Subsequent runs are instant. Speech Recognition xybrid run --model whisper-tiny --input recording.wav Whisper Tiny transcribes audio in real-time on any modern laptop. Outputs plain text. Text Generation xybrid run --model qwen3.5-0.8b
