Manage Hugging Face Hub resources via the hf-cli command-line interface.
npx skills add https://github.com/Andrew-Girgis/token-holdem --skill hf-cli-andrew-girgis
Please help me install this Agent Skill. Skill: hf-cli Source: https://github.com/Andrew-Girgis/token-holdem/tree/main/.agents/skills/hf-cli Command: npx skills add https://github.com/Andrew-Girgis/token-holdem --skill hf-cli-andrew-girgis
This Skill simplifies the process of downloading, uploading, managing, and interacting with various resources on the Hugging Face Hub, such as models, datasets, spaces, buckets, and more.
Use the hf-cli skill to download a model by its repository ID:
hf-cli download <REPO_ID>
High-intent search queries and answers about installing and using this skill.
To download a Hugging Face model, use the hf-cli command-line interface with the download command followed by the repository ID. This Skill requires the huggingface-cli tool to fetch models directly from the Hub.
Yes, you can manage Hugging Face Spaces and Buckets from the CLI. This Skill supports creating, interacting with, and managing Spaces and Buckets alongside your standard model and dataset operations.
To upload datasets to the Hugging Face Hub, you need the huggingface-cli command-line tool installed. This Skill provides the necessary interface to efficiently upload and manage your dataset repositories.
Running Jobs on the Hugging Face Hub through a CLI tool allows you to execute and manage tasks directly from your terminal. This Skill interfaces with the huggingface-cli to handle Hub Job operations efficiently.
The best way to manage Hugging Face Hub resources for automated pipelines is using a command-line interface. This Skill enables programmatic downloading, uploading, and management of models, datasets, and Spaces.
Yes, the Hugging Face Hub CLI supports managing both models and datasets. This Skill provides a comprehensive command-line interface to download, upload, and organize both resource types concurrently from the Hub.
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