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Transcribe speech audio to text using the local LFM2.5 model on the GPU.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | a2go-speech-to-text |
| description | Transcribe speech audio to text using the local LFM2.5 model on the GPU. |
| metadata | {"openclaw":{"emoji":"🎤","requires":{"bins":["a2go"]}}} |
Transcribe speech audio to text using the local LFM2.5-Audio model running on the GPU.
Use the exec tool to run:
a2go tool speech-to-text /path/to/audio.wav
Options:
--output: save transcript to file (default: prints to stdout)Examples:
a2go tool speech-to-text /tmp/recording.wava2go tool speech-to-text /tmp/voice.wav --output /tmp/transcript.txtUse open weight models (LLM, image, audio) with open source agents on Mac, Linux, and Windows.
Add a new model to the a2go registry — both GGUF (Linux/Windows) and MLX (macOS) variants, with full testing on Runpod.
Generate images from text prompts using the local FLUX.2 model on the GPU.
Convert text to speech audio using the local LFM2.5 model on the GPU.