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huggingface-trends

Monitor and fetch trending models from Hugging Face with support for filtering by task, library, and popularity metrics. Use when users want to check trending AI models, compare model popularity, or explore popular models by task or library. Supports export to JSON and formatted output.

skill-install β€” Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/tianxingleo/huggingface-trends
Or

Hugging Face Trending Models

Quick Start

Fetch the top trending models:

scripts/hf_trends.py -n 10 -p http://172.28.96.1:10808

Core Features

Fetch Trending Models

Basic usage:

# Get top 10 trending models
scripts/hf_trends.py -n 10 -p http://172.28.96.1:10808

# Get top 5 most liked models
scripts/hf_trends.py -n 5 -s likes -p http://172.28.96.1:10808

# Get most downloaded models
scripts/hf_trends.py -n 10 -s downloads -p http://172.28.96.1:10808

Filter by Task

Filter models by specific AI tasks:

# Text generation models
scripts/hf_trends.py -n 10 -t text-generation -p http://172.28.96.1:10808

# Image classification models
scripts/hf_trends.py -n 10 -t image-classification -p http://172.28.96.1:10808

# Translation models
scripts/hf_trends.py -n 10 -t translation -p http://172.28.96.1:10808

Common task filters:

  • text-generation - Large language models
  • image-classification - Vision models
  • image-to-text - Multimodal models
  • translation - Machine translation
  • summarization - Text summarization
  • question-answering - QA models

Filter by Library

Filter by ML framework:

# PyTorch models only
scripts/hf_trends.py -n 10 -l pytorch -p http://172.28.96.1:10808

# TensorFlow models only
scripts/hf_trends.py -n 10 -l tensorflow -p http://172.28.96.1:10808

# JAX models
scripts/hf_trends.py -n 10 -l jax -p http://172.28.96.1:10808

Export to JSON

Save results for further analysis:

# Export to JSON file
scripts/hf_trends.py -n 10 -j trending_models.json -p http://172.28.96.1:10808

# Export with specific filters
scripts/hf_trends.py -n 20 -t text-generation -j text_models.json -p http://172.28.96.1:10808

Proxy Configuration

The script requires an HTTP proxy to access Hugging Face API (network restrictions).

Use the -p flag:

scripts/hf_trends.py -p http://172.28.96.1:10808

For most WSL2 environments with v2rayN:

  • Proxy URL: http://172.28.96.1:10808
  • Or use dynamic IP: http://$(ip route show | grep default | awk '{print $3}'):10808

Command-Line Options

FlagLong FormDescriptionDefault
-n--limitNumber of models to fetch10
-s--sortSort by: trending, likes, downloads, createdtrending
-t--taskFilter by task/pipelineNone
-l--libraryFilter by library (pytorch, tensorflow, jax)None
-j--jsonExport results to JSON fileNone
-p--proxyProxy URL for HTTP requestsNone

Output Format

The script displays models in a structured format:

πŸ€– Hugging Face ηƒ­ι—¨ζ¨‘εž‹ (5 δΈͺ)
============================================================
1. moonshotai/Kimi-K2.5
   ⭐ 2.0K likes   πŸ“₯ 647.6K downloads
   πŸ“Š Task: image-text-to-text   πŸ“š Library: transformers
   πŸ“… Created: 2026-01-01   Updated: N/A
...

Model Information

Metadata

Stars946
Views0
Updated2026-02-13
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-tianxingleo-huggingface-trends": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.