Manage Hugging Face Hub repositories, datasets, and spaces via CLI.
npx skills add https://github.com/zangjeicy/Hermes --skill huggingface-hub-zangjeicy
Please help me install this Agent Skill. Skill: huggingface-hub Source: https://github.com/zangjeicy/Hermes/tree/main/skills/mlops/huggingface-hub Command: npx skills add https://github.com/zangjeicy/Hermes --skill huggingface-hub-zangjeicy
This skill streamlines the interaction with the Hugging Face ecosystem, removing the complexity of manual repository management, file synchronization, and infrastructure deployment.
Use the huggingface-hub skill to download the latest version of a specific model repository by providing its ID.
High-intent search queries and answers about installing and using this skill.
You can manage Hugging Face models and datasets from the command line by using this skill to create, move, and synchronize repositories directly. It removes the complexity of manual repository management and file synchronization.
The best way to download and upload large datasets is using automated workflows with built-in support for resumable transfers. This Skill facilitates efficient large-scale data transfers and repository synchronization for Hugging Face Hub.
Yes, you can deploy and monitor Inference Endpoints and manage compute jobs via CLI. This Skill provides infrastructure control allowing you to deploy cloud infrastructure and manage compute tasks without leaving your terminal.
Yes, you need authenticated access to the Hugging Face platform to execute administrative and compute-related tasks. This access is required to facilitate seamless interaction and automate workflows for repository synchronization.
Repository synchronization for model weights works through automated workflows that support efficient download, upload, and syncing of large files. The skill handles large-scale data transfers with resumable transfers to ensure reliable updates.
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