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Hugging Face Trending

Fetch and curate trending Hugging Face Hub models, datasets, and spaces.

6|2|Updated May 21, 2026
Search Tags:#curation#models#datasets#huggingface#trending#spaces#research monitoring
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill hugging-face-trending
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Hugging Face Trending
Source: https://github.com/anajuliabit/aeon/tree/main/skills/huggingface-trending
Command: npx skills add https://github.com/anajuliabit/aeon --skill hugging-face-trending

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the time wasted scanning noisy Hugging Face “trending” pages by delivering a curated, click-worthy shortlist of models, datasets, and spaces for today.

Core Features & Use Cases

  • Curated trending picks (5–8) across models, datasets, and spaces (or a single scoped type) with a one-line “why notable” for each.
  • Noise filtering and deduplication to drop low-signal test/debug artifacts, trivial fine-tunes, broken or boilerplate spaces, quantization-only forks, and anything featured in the last 3 days.
  • Momentum tagging (DEBUT, ACCELERATING, RETURNING, HOLDOVER) and lightweight verification for paper-linked picks, so your digest reflects real activity and relevance.
  • Autonomous notification & logging that writes a daily log entry and sends a formatted notification to keep you informed without manual browsing.

Quick Start

Use the Hugging Face Trending skill to fetch and curate the most notable models, datasets, and spaces for today across the Hugging Face Hub.

Frequently Asked Questions about Hugging Face Trending

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a curated digest of trending Hugging Face models without manually browsing the hub?▼

To get a curated digest of trending Hugging Face models, this skill fetches daily hub artifacts via keyless REST API, filters noise like trivial fine-tunes, and delivers a shortlist of 5-8 high-signal models with justifications.

How does noise filtering work for Hugging Face trending spaces and datasets?▼

Noise filtering for Hugging Face trending spaces and datasets works by dropping low-signal test artifacts, broken boilerplate, quantization-only forks, and deduplicating items featured in the last 3 days to ensure only genuinely noteworthy releases remain.

Can I monitor specific Hugging Face artifact types like only spaces or datasets?▼

You can monitor specific Hugging Face artifact types by scoping the curation to a single type, allowing you to receive a focused digest of only trending spaces, datasets, or models instead of a combined daily shortlist.

What is the best way to track newly viral Hugging Face spaces and model drops for research monitoring?▼

The best way to track viral Hugging Face spaces and model drops for research monitoring is using momentum tagging, which labels artifacts as DEBUT, ACCELERATING, RETURNING, or HOLDOVER to reflect real activity and relevance.

Do I need a Hugging Face API key to fetch trending datasets and models?▼

You do not need a Hugging Face API key to fetch trending datasets and models, as this skill requires only keyless Hub REST API fetching with a WebFetch fallback to retrieve and curate daily artifacts.

Why are some Hugging Face trending models missing from my daily research monitoring digest?▼

Hugging Face trending models may be missing from your research monitoring digest if they are flagged as low-signal test artifacts, trivial fine-tunes, or quantization-only forks, which are strictly filtered out to maintain high signal.

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