OpenClaw
10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install czubi1928/openai-whisper-1-0-0Examinez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Instructions
Whisper (CLI)
Use whisper to transcribe audio locally.
Quick start
-
whisper /path/audio.mp3 --model medium --output_format txt --output_dir . -
whisper /path/audio.m4a --task translate --output_format srt
Notes
- Models download to
~/.cache/whisperon first run. -
--modeldefaults toturboon this install. - Use smaller models for speed, larger for accuracy.
Informations sur la source
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/czubi1928/openai-whisper-1-0-0
- Version
- —
- Commit
- 190c244c400914d04715f7e66093c1a0f5cf54b8
- Source de classification
- rules
- Statut
- active
- Visibilité
- public
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Contenu extrait
SKILL.md
# Whisper (CLI) Use `whisper` to transcribe audio locally. Quick start - `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .` - `whisper /path/audio.m4a --task translate --output_format srt` Notes - Models download to `~/.cache/whisper` on first run. - `--model` defaults to `turbo` on this install. - Use smaller models for speed, larger for accuracy.
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