Manage Hugging Face Hub repositories, datasets, and compute jobs.
npx skills add https://github.com/heysuhas/hermes_cli --skill huggingface-hub-heysuhas
Please help me install this Agent Skill. Skill: huggingface-hub Source: https://github.com/heysuhas/hermes_cli/tree/main/skills/mlops/huggingface-hub Command: npx skills add https://github.com/heysuhas/hermes_cli --skill huggingface-hub-heysuhas
This skill streamlines the interaction with the Hugging Face ecosystem, removing the complexity of manual repository management, large file transfers, and infrastructure deployment.
Use the huggingface-hub skill to download the latest version of a specific model repository by providing its ID.
High-intent search queries and answers about installing and using this skill.
You can manage Hugging Face repositories and models from your terminal by automating repository operations to create, delete, and sync models, datasets, and Spaces directly without manual platform interaction.
To download large datasets and model weights efficiently, you can perform high-speed downloads and resumable uploads that handle large-scale file synchronization seamlessly across the Hugging Face Hub.
Automating MLOps infrastructure deployment for machine learning models is best handled by managing Inference Endpoints and compute jobs, including monitoring resource usage and deploying interactive Spaces directly.
Yes, you need authenticated access to the Hugging Face platform to manage Spaces and endpoints, ensuring secure repository modifications and safe execution of cloud-based compute jobs.
Yes, you can sync large-scale files to the Hugging Face Hub if a transfer is interrupted because the skill supports resumable uploads, allowing large dataset and model weight synchronization to resume smoothly.
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