huggingface-hub

You can manage Hugging Face model repositories by creating, duplicating, and moving models directly from the command line. This skill handles repository lifecycle control and streamlines interaction with the Hub via the hf CLI tool.

The best way to upload large folders to Hugging Face Hub is through resumable uploads. This approach supports efficient data handling and large-scale synchronization between local directories and Hub buckets without restarting failed transfers.

Yes, you need the hf CLI tool to deploy Hugging Face Inference Endpoints. The CLI executes authenticated API requests required to manage remote compute jobs, deploy endpoints, and handle infrastructure monitoring.

Yes, you can sync local directories with Hugging Face datasets buckets. The skill performs large-scale data synchronization to keep local folders aligned with Hub repositories and manage local cache revisions efficiently.

Yes, Hugging Face Hub management supports moving Spaces and datasets. You can manage the full repository lifecycle for models, datasets, and Spaces, including creating, duplicating, and moving them directly from the command line.