Manage Hugging Face Hub repositories, models, and datasets via CLI.
npx skills add https://github.com/marcoshernanz/llm-lab --skill hf-cli-marcoshernanz
Please help me install this Agent Skill. Skill: hf-cli Source: https://github.com/marcoshernanz/llm-lab/tree/main/.agents/skills/hf-cli Command: npx skills add https://github.com/marcoshernanz/llm-lab --skill hf-cli-marcoshernanz
This Skill streamlines the interaction with the Hugging Face Hub, enabling users to download, upload, and manage repositories, models, datasets, and Spaces seamlessly.
Use the hf-cli skill to list available models on the Hugging Face Hub.
High-intent search queries and answers about installing and using this skill.
You can manage Hugging Face repositories from the command line by using this interface to create, delete, and clone repos. It provides simple commands to handle repository version control directly from your terminal.
Yes, you can upload and download Hugging Face datasets and models using a CLI. This skill provides commands to list, get information, and publish or retrieve models and datasets to streamline Hub interactions.
Yes, you need the huggingface_hub library installed to automate ML deployment workflows. This skill requires the library as a dependency to facilitate seamless integration into your automation pipeline.
The best way to update model metadata and share datasets on Hugging Face is using a unified CLI. It allows data scientists to execute all necessary publication and management commands within a single interface.
Yes, this CLI tool supports listing available models on the Hugging Face Hub. You can quickly start using the skill to retrieve model information and list assets directly through simple command execution.
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