Manage models, datasets, spaces, and repos on the Hugging Face Hub.
npx skills add https://github.com/tony-ng-vn/Resume-agent --skill hf-cli-tony-ng-vn
Please help me install this Agent Skill. Skill: hf-cli Source: https://github.com/tony-ng-vn/Resume-agent/tree/main/.agents/skills/hf-cli Command: npx skills add https://github.com/tony-ng-vn/Resume-agent --skill hf-cli-tony-ng-vn
This Skill streamlines the process of interacting with the Hugging Face Hub, making it easier to manage models, datasets, spaces, and more.
Use the hf-cli skill to download a model from the Hugging Face Hub.
High-intent search queries and answers about installing and using this skill.
To download and upload models from the Hugging Face Hub, you can use the hf-cli to manage Hub resources directly, handling authentication and local cache for seamless file transfers.
Yes, you can deploy inference endpoints and manage spaces on the Hugging Face Hub. The cli handles space configuration, webhook setup, and endpoint deployment for your models.
Yes, you need the huggingface_hub library installed to manage Hub datasets and repos. This dependency is required for the cli to interact with and authenticate Hub operations.
The best way to manage local cache and authentication for Hugging Face resources is using the hf-cli, which streamlines credential handling and optimizes local storage for models and datasets.
Yes, the Hugging Face cli supports managing buckets, jobs, and papers. It extends resource management beyond models and datasets to include repositories and academic papers on the Hub.
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