Hf Cli
插件 已验证 活跃Execute Hugging Face Hub operations using the hf CLI. Download models/datasets, upload files, manage repos, and run cloud compute jobs.
To enable AI agents to seamlessly interact with the Hugging Face Hub for managing ML assets, running jobs, and configuring services.
功能
- Execute all `hf` CLI commands
- Download and upload models/datasets
- Manage Hugging Face repositories and spaces
- Run and schedule jobs on Hugging Face infrastructure
- Manage authentication and cache
使用场景
- When needing to download specific models or datasets from the Hugging Face Hub.
- When managing Hugging Face repositories, including creating, deleting, or updating them.
- When scheduling or running machine learning jobs on Hugging Face infrastructure.
- When setting up or configuring Hugging Face Spaces for demos or applications.
非目标
- Replacing the need to install the `hf` CLI separately.
- Providing direct Python API access to Hugging Face Hub services.
- Managing local development environments unrelated to Hugging Face Hub operations.
安装
请先添加 Marketplace
/plugin marketplace add huggingface/skills/plugin install hf-cli@huggingface-skills质量评分
已验证类似扩展
Huggingface Trackio
99Track and visualize ML training experiments with Trackio. Log metrics via Python API and retrieve them via CLI. Supports real-time dashboards synced to HF Spaces.
Huggingface Llm Trainer
99Train 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. Includes hardware selection, cost estimation, Trackio monitoring, and Hub persistence.
Hugging Face Skills
98Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
Context7 Plugin
100Upstash Context7 MCP 服务器,用于查找最新文档。直接从源代码存储库将特定版本的文档和代码示例拉取到您的 LLM 上下文中。
Hugging Face Papers
100Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata like authors, linked models, datasets, Spaces, and media URLs when needed.
Huggingface Local Models
99Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.