Manage Hugging Face Hub models and datasets via the hf CLI.
npx skills add https://github.com/lxt070409/hermes-skills --skill huggingface-hub-lxt070409
Please help me install this Agent Skill. Skill: huggingface-hub Source: https://github.com/lxt070409/hermes-skills/tree/main/mlops/huggingface-hub Command: npx skills add https://github.com/lxt070409/hermes-skills --skill huggingface-hub-lxt070409
This Skill allows users to seamlessly search, download, upload, and manage Hugging Face Hub models and datasets using the hf CLI, enhancing their AI development and research workflows.
Load the skill and download a model with the command: hf 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 to execute the `hf download REPO_ID` command. This fetches the desired model repository directly to your local environment.
Yes, you can manage Hugging Face datasets and models entirely without the web interface. The hf CLI allows you to search, upload, download, and manage your repositories directly from the terminal.
Yes, you need the Hugging Face CLI installed. This Skill operates by managing repositories, models, and datasets on the Hub via the hf CLI commands.
The best way to keep local directories in sync with Hugging Face repositories is by using the automated syncing features provided through the hf CLI. This ensures your local data matches the Hub.
You can search for models on the Hugging Face Hub from your terminal by utilizing the search and manage features of the hf CLI. This allows you to navigate the Hub without a browser.
huggingfaceSearch and retrieve Hugging Face Hub models, datasets, and Spaces via MCP server.
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huggingfaceManage Hugging Face Hub resources via the hf CLI.
