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openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install czubi1928/openai-whisper-1-0-0打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
技能说明
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.
来源信息
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/czubi1928/openai-whisper-1-0-0
- Version
- —
- Commit
- 190c244c400914d04715f7e66093c1a0f5cf54b8
- 分类来源
- rules
- 状态
- active
- 可见性
- public
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
来源内容
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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