huggingface-zerogpu
๐ฏSkillfrom huggingface/skills
|A collection of AI/ML skills for coding agents covering Hugging Face Hub operations, model training, dataset management, Gradio app development, paper publishing, and more. Supports Claude Code, Codex, Gemini CLI, and Cursor with standardized Agent Skills format.
Same repository
huggingface/skills(41 items)
Installation
npx vibeindex add huggingface/skills --skill huggingface-zerogpunpx skills add huggingface/skills --skill huggingface-zerogpu~/.claude/skills/huggingface-zerogpu/SKILL.mdSKILL.md
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Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
Official Hugging Face skills defining AI/ML tasks like dataset creation, model training, and evaluation. Interoperable with Claude Code, OpenAI Codex, Gemini CLI, and Cursor using the standardized Agent Skill format.
Official Hugging Face skills defining AI/ML tasks like dataset creation, model training, and evaluation. Interoperable with Claude Code, OpenAI Codex, Gemini CLI, and Cursor using the standardized Agent Skill format.
A skill for the Hugging Face Hub CLI (hf), enabling downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, and jobs on the Hugging Face Hub. Replaces the deprecated huggingface-cli.
Official Hugging Face skills defining AI/ML tasks like dataset creation, model training, and evaluation. Interoperable with Claude Code, OpenAI Codex, Gemini CLI, and Cursor using the standardized Agent Skill format.
Official Hugging Face skills defining AI/ML tasks like dataset creation, model training, and evaluation. Interoperable with Claude Code, OpenAI Codex, Gemini CLI, and Cursor using the standardized Agent Skill format.
Official Hugging Face Gradio skill for building Python web UIs and ML demos โ covers the `Interface` high-level wrapper, `Blocks` low-level layout with explicit event wiring, `ChatInterface` for chatbots, core component signatures (Textbox, etc.), streaming inputs/outputs, custom CSS/JS, and sharing your app.
Explores, queries, and extracts data from any Hugging Face dataset via the Dataset Viewer REST API and npx tooling with zero Python dependencies โ split/config discovery, row pagination, text search, filtering, SQL via parquetlens, and CLI upload.
Train or fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment.
Hugging Face agent skills for AI/ML tasks like dataset creation, model training, and evaluation, interoperable with major coding agent tools.