Hugging Face
A platform to host and collaborate on machine learning models, datasets, and AI applications
Categories
3
Platforms
Rating
Listed
Mar 2026
Highlights
Large public catalog
Browse “2M+ models”, “500k+ datasets”, and “1M+ applications (Spaces)” directly from the site.
Unified inference access
Inference Providers: access “45,000+ models” from leading AI providers via a single API, with “no service fees.”
Team & Enterprise controls
Enterprise offering lists Single Sign-On, audit logs, access controls, resource groups, and priority support.
Built-in compute options
Deploy via Inference Endpoints and upgrade Spaces apps to a GPU “in a few clicks,” with GPU pricing starting at $0.60/hour.
Screenshots
About Hugging Face
Hugging Face is a web platform for discovering, hosting, and collaborating on machine learning assets—especially models, datasets, and runnable demo apps called Spaces. From the homepage, you can browse large catalogs (e.g., “Browse 2M+ models”, “Browse 500k+ datasets”, and “Browse 1M+ applications”) and jump into trending items with usage and update info.
Beyond browsing, the site positions itself as a collaboration hub: you can host public models, datasets, and applications, and build an ML profile to share your work. It also highlights Hugging Face’s open-source stack (including Transformers, Diffusers, Datasets, Tokenizers, and more) via documentation links.
For teams, Hugging Face lists paid options like Team & Enterprise (with features such as Single Sign-On, audit logs, and resource groups) and Compute options like Inference Endpoints and GPU upgrades for Spaces. There’s also an “Inference Providers” offering that provides access to “45,000+ models…through a single, unified API with no service fees.”
- Browse and publish models, datasets, and Spaces from one place
- Access Hugging Face open-source libraries through dedicated docs
- Team & Enterprise options include SSO, audit logs, and access controls
- Compute options include Inference Endpoints and GPU upgrades for Spaces
Features
Models directory
Browse and discover models from the dedicated Models section (linked as “Browse 2M+ models”).
Datasets directory
Browse and discover datasets from the Datasets section (linked as “Browse 500k+ datasets”).
Spaces (AI apps)
Explore and run community-built applications in Spaces (linked as “Browse 1M+ applications”).
Enterprise features
Team & Enterprise includes Single Sign-On, audit logs, resource groups, priority support, and a private datasets viewer.
Inference Providers API
Access models from multiple AI providers through one unified API; the site states there are no service fees.
Compute options
Deploy to optimized Inference Endpoints or add GPU compute to Spaces, with pricing starting at $0.60/hour for GPU.
Use Cases
Publishing and sharing ML models
Host a public model on the Hub so others can find it, follow updates, and use it in their own projects.
Collaborating on datasets
Share datasets on the Hub for others to discover and reuse for training and evaluation.
Building and demoing AI apps
Create a Space to showcase an app (for example, text-to-video or image editing demos listed in trending Spaces).
Serving models for production inference
Use Inference Endpoints or the Inference Providers API to run models behind an API.
Best For
This tool is ideal for:
Pricing
Team & Enterprise
Team & Enterprise plan with enterprise-grade security, access controls, and dedicated support.
- Single Sign-On
- Regions
- Priority Support
- Audit Logs
- Resource Groups
- Private Datasets Viewer
Compute (GPU)
GPU compute pricing starting point for deploying or upgrading workloads.
- Deploy on Inference Endpoints
- Upgrade Spaces applications to a GPU
Ready to get started?
Hugging Face can help you achieve your goals and transform your workflow.
Pros & Cons
Pros (4)
- Clear separation of Models, Datasets, and Spaces for discovery
- Large public catalogs are directly linked from the homepage
- Enterprise plan lists concrete security/admin features (SSO, audit logs, resource groups)
- Compute options are spelled out (Inference Endpoints; GPU upgrades for Spaces)
Cons (2)
- No YouTube or other social links beyond GitHub/Twitter/LinkedIn/Discord are shown in the provided page content
- Homepage pricing details are limited to starting prices; full tier breakdown isn’t included in the scraped content
How to Use
Browse content
Go to Models, Datasets, or Spaces from the top navigation to explore what’s available.
Create an account
Use the Sign Up page to create a Hugging Face account.
Publish or collaborate
Host public models, datasets, or applications and build your profile to share your work.
Add compute when needed
Use Inference Endpoints or upgrade a Space to a GPU if you need hosted compute.
Tips
Start from Spaces if you want runnable demos
Use the Spaces section to try applications directly in the browser (the homepage links “Explore AI Apps”).
Use docs links for the open-source stack
If you’re implementing locally, the homepage points to docs for libraries like Transformers, Diffusers, Datasets, and Tokenizers.
Check the pricing page before enabling GPUs
Compute costs are shown as starting at $0.60/hour for GPU; confirm the specific instance/pricing details on the pricing page.
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