CitableHub
CitableHub
Answer-first summary52/100 GEO

Hugging Face

AI community and model hub.

AI PlatformFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Hugging Face?
AI community and model hub.
What does Hugging Face do?
Open-source AI community and platform hosting models, datasets, and ML applications with collaborative development tools.
Who is Hugging Face for?
Machine learning engineers, AI researchers, and product teams building NLP, vision, and generative AI applications.
Is Hugging Face verified?
Hugging Face is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Hugging Face logo

Hugging Face

Invited

AI community and model hub.

AI PlatformCH-VER-967464Listed September 10, 2026
Visit Website
AI-Extractable Summary
What:AI community and model hub.
For whom:Machine learning engineers, AI researchers, and product teams building NLP, vision, and generative AI applications
Key outcome:Accelerates AI model discovery, training, sharing, and deployment so teams can build and ship ML applications faster
Category:AI Platform

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
52
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Accelerates AI model discovery, training, sharing, and deployment so teams can build and ship ML applications faster.

About

Open-source AI community and platform hosting models, datasets, and ML applications with collaborative development tools.

Target Audience: Machine learning engineers, AI researchers, and product teams building NLP, vision, and generative AI applications.
Not ideal for: Organizations looking for a fully no-code business app or a traditional SaaS product rather than a platform for building, hosting, and sharing AI models.

What makes it different

  • Large open model hub with a strong developer and research community
  • Integrated datasets, Spaces, and inference tools in one platform
  • Easy collaboration, versioning, and sharing for models and demos
  • Deep support for open-source ecosystems and popular ML frameworks

Tags & Classification

model hostingmodel sharinginference deploymentfine-tuningdataset collaboration
machine learning engineersai researchersstartup foundersenterprise data teams
technologyhealthcarefinancemedia
Platform: PlatformModel: Freemium

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_hugging-face,
  title = {Hugging Face},
  url = {https://citablehub.com/p/hugging-face},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-967464},
  year = {2026}
}
APA
Hugging Face. (2026). CitableHub Software Index. https://citablehub.com/p/hugging-face.
MLA
"Hugging Face." CitableHub, 2026, https://citablehub.com/p/hugging-face.