How do I handle authentication?

You can use the hf auth login command within the skill to authenticate using your Hugging Face access token and manage multiple identities.

Does this skill replace the old huggingface-cli?

Yes, this skill utilizes the modern hf command which is the official successor to the deprecated huggingface-cli tool.

Can I search for research papers?

Yes, the hf papers commands allow you to search, list, and even read daily papers as markdown directly in your workspace.

Is there support for large file uploads?

Yes, the skill includes the upload-large-folder command which is optimized for resumable, multi-worker uploads of large model weights and datasets.

Can I use this to deploy inference endpoints?

Absolutely. The skill includes commands to deploy, pause, resume, and scale Hugging Face Inference Endpoints from the Hub.

Hugging Face CLI

Name: Hugging Face CLI
Author: sickn33

bysickn33

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31,722

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Ciencia de Datos y ML

Manages Hugging Face Hub resources including models, datasets, and inference endpoints directly from the command line.

The Hugging Face CLI skill equips Claude with the ability to interact seamlessly with the Hugging Face ecosystem. It replaces the legacy huggingface-cli with the modern hf command, enabling users to download or upload large model files, manage datasets, authenticate accounts, and control inference endpoints. Whether you are running complex training jobs, managing model collections, or deploying serverless inference, this skill provides a robust interface for data scientists and ML engineers to automate their AI workflows within the Claude environment.

Características Principales

01Manage Hugging Face authentication and switch between multiple access tokens.

02Search, read, and manage research papers, collections, and repository discussions.

03Download and upload models, datasets, and Spaces with resumable support for large folders.

04Query datasets using SQL with DuckDB integration for efficient data exploration.

0531,722 GitHub stars

06Deploy and monitor Inference Endpoints and scheduled Hub Jobs.

Casos de Uso

01Efficiently managing local model caches and verifying file checksums to ensure data integrity.

02Synchronizing local project files with Hugging Face Hub repositories for collaborative AI development.

03Automating the deployment of machine learning models to production-ready Inference Endpoints.

Características Principales

01Manage Hugging Face authentication and switch between multiple access tokens.

02Search, read, and manage research papers, collections, and repository discussions.

03Download and upload models, datasets, and Spaces with resumable support for large folders.

04Query datasets using SQL with DuckDB integration for efficient data exploration.

0531,722 GitHub stars

06Deploy and monitor Inference Endpoints and scheduled Hub Jobs.

Casos de Uso

01Efficiently managing local model caches and verifying file checksums to ensure data integrity.

02Synchronizing local project files with Hugging Face Hub repositories for collaborative AI development.

03Automating the deployment of machine learning models to production-ready Inference Endpoints.