What problem does it solve? Working with the Hugging Face Hub from the command line involves many distinct operations—downloading models, uploading datasets, managing repos, running jobs, and configuring spaces—and the deprecated huggingface-cli no longer reflects the current command structure. This Skill provides the complete, up-to-date hf CLI command reference so an AI assistant can perform any Hub operation correctly. ## Core Features & Use Cases - Hub Resource Management: Download, upload, copy, and sync models, datasets, spaces, and buckets, including large-folder resumable uploads and local cache management. - Compute & Deployment: Run and schedule jobs on Hugging Face infrastructure, deploy and manage Inference Endpoints, and configure Space hardware, secrets, and variables. - Collaboration & Discovery: Manage repos, branches, tags, discussions, pull requests, collections, webhooks, and search or read models, datasets, and academic papers. - Use Case: A user asks to upload a trained checkpoint folder to a private model repo and then deploy it as an Inference Endpoint; the assistant uses hf upload-large-folder followed by hf endpoints deploy with the correct flags. ## Quick Start Ask the assistant to download a specific model from the Hugging Face Hub or list your repos, and it will run the appropriate hf command with the right options.
