Hugging Face Skills

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Transformers.js允许在JavaScript中运行最新的机器学习模型，支持NLP、计算机视觉、音频和多模态任务

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This skill enables running Python workloads on Hugging Face cloud infrastructure, ideal for developers. It handles data processing, batch inference, experiments, and model training without requiring local GPU/TPU setup.

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Hugging Face LLM 训练是一种使用 TRL 方法和云端 GPU 训练语言模型的技术

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Hugging Face论文发布技能是一种AI智能体技能，用于在Hugging Face Hub上发布和管理研究论文

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Hugging Face视觉训练器技能，用于在Hugging Face Jobs云GPU上训练和微调视觉模型

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Hugging Face论文页面技能是一种AI智能体技能，用于查找和阅读AI研究论文

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Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

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Hugging Face社区评估技能是一种AI智能体技能，用于在本地硬件上运行Hugging Face Hub模型评估

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Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.

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Hugging Face 数据集查看器技能，用于数据集探索和提取，支持分页、搜索和过滤

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Hugging Face Hub CLI（hf）是一种用于下载、上传和管理存储库、模型、数据集和空间的工具。

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Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and browsers (with WebGPU/WASM) using pre-trained models from Hugging Face Hub.