Manage Hugging Face Hub repositories, models, and datasets via the hf CLI.
npx skills add https://github.com/burtenshaw/multiautoresearch --skill hf-cli-burtenshaw
Please help me install this Agent Skill. Skill: hf-cli Source: https://github.com/burtenshaw/multiautoresearch/tree/main/.agents/skills/hf-cli Command: npx skills add https://github.com/burtenshaw/multiautoresearch --skill hf-cli-burtenshaw
The Hugging Face Hub CLI (hf) consolidates repository, model, dataset, and Space management into a single, scriptable tool, replacing older command-line tools and reducing manual overhead.
Authenticate with the Hugging Face Hub and begin managing assets from the command line.
High-intent search queries and answers about installing and using this skill.
The hf CLI allows you to manage Hugging Face repositories from the command line by scripting login, creation, deletion, and listing of hub assets. It consolidates repo, model, and dataset management into a single tool.
You upload and download models and datasets to Hugging Face Hub using the hf CLI asset management commands. It enables scriptable hub operations for transferring data between local environments and the Hub.
You can use the Hugging Face CLI for CI and automation workflows because the hf CLI supports environment inspection and status checks, making it ideal for integrating scriptable hub operations into automated pipelines.
You need authentication with HF tokens to manage Hugging Face assets via CLI. The hf CLI requires valid token authentication to perform operations like uploading and downloading models or datasets.
The best way to script Hugging Face Hub operations for data teams is using the hf CLI. It provides a single, scriptable tool to replace older command-line utilities and reduce manual overhead for managing models and datasets.
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