What problem does it solve? Interacting with the Hugging Face Hub through the web UI or raw API calls is slow and hard to automate. This Skill provides a complete reference for the modern hf command-line interface, replacing the deprecated huggingface-cli, so you can script and automate Hub operations directly from the terminal. ## Core Features & Use Cases - Model & Dataset Operations: Search, download, and upload models and datasets, including resumable uploads of large directories and SQL queries against dataset parquet files via DuckDB. - Repository & Collaboration Management: Create, duplicate, move, and delete repositories, manage branches and tags, and handle discussions and pull requests end to end. - Infrastructure & Automation: Deploy Inference Endpoints, run compute Jobs, manage Spaces, S3-like buckets, caches, webhooks, and collections. - Use Case: You need to download a fine-tuned model, query a dataset with SQL, and deploy it to an Inference Endpoint. Use this Skill to run hf download, hf datasets sql, and endpoint deployment commands in one automated workflow. ## Quick Start Ask the agent to use the hf CLI to download a specific model from the Hugging Face Hub and show its repository info.
