Hugging Face Skills

huggingface

Transformers.js permite ejecutar modelos de aprendizaje automático de última generación directamente en JavaScript. Soporta tareas de NLP, visión por computadora y audio.

huggingface

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.

huggingface

Un entrenador de modelos de lenguaje que utiliza TRL en la infraestructura de Hugging Face Jobs.

huggingface

The huggingface-paper-publisher skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on Hugging Face Hub, streamlining workflow and enhancing collaboration.

huggingface

Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs...

huggingface

The Hugging Face Papers skill enables developers to look up and read AI research papers in markdown, and access structured metadata such as authors and linked models. This skill benefits developers and researchers by providing easy access to AI research insights.

huggingface

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.

huggingface

This skill enables developers to test Hugging Face models locally, streamlining backend selection and model comparisons. It supports inspect-ai and lighteval for efficient evaluations.

huggingface

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

huggingface

La habilidad de Hugging Face Datasets para Claude Code permite la exploración y extracción de datos de forma eficiente. Utiliza la API de Dataset Viewer para fetch subset/split metadata, paginar filas, buscar texto y aplicar filtros.

huggingface

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.

huggingface

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.