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HuggingFace Model Tracker

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Pay per usage

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HuggingFace Model Tracker

HuggingFace Model Tracker

Track trending, popular, and new AI models on HuggingFace. Monitor downloads, likes, trending scores. Filter by task type, library, or author. No API key required.

Pricing

Pay per usage

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Developer

Fulcria Labs

Fulcria Labs

Maintained by Community

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1

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2

Total users

1

Monthly active users

a day ago

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Track trending, popular, and newly released AI/ML models on HuggingFace. Uses the official HuggingFace API to collect comprehensive model metadata.

What it does

  • Trending models: Discover which AI models are gaining traction right now
  • Most downloaded: Find the most popular models by download count
  • Most liked: See community favorites by like count
  • Newest models: Track recently published models
  • Recently updated: Monitor active model development

Features

  • Filter by task type (text-generation, text-to-image, image-classification, etc.)
  • Filter by ML library (transformers, diffusers, GGUF, PyTorch, etc.)
  • Filter by author/organization (meta-llama, google, Qwen, stabilityai, etc.)
  • Search by model name or description
  • Optional detailed mode fetches license, datasets, and file info
  • No API key required

Output fields

Each result includes:

FieldDescription
modelIdFull model identifier (e.g. meta-llama/Llama-3-8B)
authorModel author/organization
downloadsTotal download count
likesCommunity likes
trendingScoreHuggingFace trending score (when sorting by trending)
pipeline_tagModel task type
libraryML framework/library
tagsModel tags
createdAtPublication date
urlDirect link to model page
rankPosition in sorted results

With fetchDetails enabled, also includes: description, license, datasets, language, safetensors, spaces_count.

Use cases

  • AI researchers: Track which models are trending in your field
  • ML engineers: Monitor new model releases for your tech stack
  • Content creators: Find popular models for AI content
  • Business intelligence: Track AI model market trends
  • Developers: Discover models for integration into apps

Example input

{
"sortBy": "trendingScore",
"maxResults": 25,
"pipelineTag": "text-generation",
"library": "transformers"
}

Cost

This actor uses the free HuggingFace API. Typical runs consume minimal compute units. Enabling fetchDetails increases runtime as it makes one additional API call per model.