Hugging Face is the platform where the machine learning community collaborates on models, datasets and applications. Users can browse 2M+ models and 500k+ datasets, explore 1M+ Spaces apps, and host public repositories with Git-based collaboration. The open-source stack includes Transformers, Diffusers, Datasets, PEFT, TRL and smolagents, while Inference Providers offer a unified API to 45,000+ models and Inference Endpoints provide dedicated autoscaling deployment. Teams can add enterprise security, access controls and support. Access ranges from a free account to PRO at $9/month, Team at $20/user/month, Enterprise at $50/user/month, plus hourly GPU and storage pricing.
How to use Hugging Face
1
Create an account
Sign up at huggingface.co/join to host repositories, follow organizations and build an ML profile.
2
Explore models and datasets
Browse the Models and Datasets directories, open dataset viewers, and filter by task, language or organization.
3
Try an app in Spaces
Open Spaces to run community demos for text, image, video, audio or 3D tasks directly in the browser.
4
Deploy with Inference Endpoints
Launch dedicated autoscaling inference for a Hub model from the Endpoints console, choosing CPU or GPU instance sizes.
5
Upgrade compute or plan
Add GPU hardware to a Space or subscribe to PRO, Team or Enterprise from the pricing page.
Hugging Face Features
Host and collaborate on unlimited public models, datasets and applications
Browse 2M+ models, 500k+ datasets and 1M+ applications
Git-based collaboration with dataset viewer and model evaluation
Open-source libraries including Transformers, Diffusers, Datasets, PEFT, TRL and smolagents
Inference Providers unified API to 45,000+ models from leading providers
Dedicated autoscaling Inference Endpoints with no cold starts
Spaces apps with on-demand GPU hardware and ZeroGPU
Enterprise security, SSO, audit logs and resource groups
Storage Buckets with per-TB pricing and included egress
Hugging Face Use Cases
Machine learning teams sharing and versioning models and datasets
Developers prototyping AI demos with Gradio and Docker Spaces
Researchers discovering and evaluating open models and datasets
Organizations deploying dedicated inference endpoints in production
Enterprises needing SSO, audit logs and access controls for ML collaboration
Hugging Face FAQs
The Hub hosts Git-based models, datasets and Spaces applications, and free accounts can host unlimited public repositories.
Yes. A free account provides public hosting, CPU Basic and ZeroGPU Spaces hardware, and access to the open-source stack and documentation.
PRO is listed at $9/month and adds 10× private storage, 2× public storage, $2 of monthly inference credits and 8× ZeroGPU quota.
Team starts at $20/user/month with SSO, audit logs and resource groups; Enterprise starts at $50/user/month and adds SCIM provisioning, highest rate limits, managed billing and dedicated support.
Spaces hardware is billed hourly per running instance, from CPU Upgrade at $0.03/hour to 8x Nvidia A100 at $20.00/hour; CPU Basic and ZeroGPU are free.
Inference Endpoints provide dedicated, autoscaling infrastructure for deploying Hub models, starting at $0.033/hour with no cold starts.
Storage is volume-based per TB per month, starting at $12/TB for public and $18/TB for private repositories, with egress and CDN included.
Yes. Inference Providers offer a single unified API to 45,000+ models hosted by 10+ inference partners with no service fees.
Prices are in USD as listed on the official pricing page. Free accounts can host unlimited public models, datasets and applications; paid plans add storage, compute, collaboration and enterprise features. GPU and storage charges are separate from membership plans.
Free
$0USD / month
A free account for exploring and collaborating on the Hub, with public hosting and community Spaces.
Host and collaborate on unlimited public models, datasets and applications
Browse 2M+ models, 500k+ datasets and 1M+ applications
CPU Basic Spaces hardware at no cost
ZeroGPU Spaces hardware at no cost
Access to the HF open-source stack and documentation
PRO
$9USD / month
A personal upgrade that boosts storage, inference credits and Spaces capacity for individual users.
10× private storage capacity and 2× public storage capacity
$2 of included inference credits monthly
8× ZeroGPU quota and highest queue priority
Host ZeroGPU, Gradio & Docker Spaces; Spaces Dev Mode
Personal blog publishing and Dataset Viewer for private datasets
Team
$20USD / month per user
Instant setup for growing teams that need SSO, access controls and organization analytics.
SSO support (SAML & OIDC)
Data location control with Storage Regions
Audit Logs and Resource Groups for granular access control
Repository usage Analytics and centralized token control
All organization members get ZeroGPU and Inference Providers PRO benefits
Enterprise
$50USD / month per user
Custom onboarding and enterprise features for organizations with compliance and support needs.
All benefits from the Team plan
Highest storage, bandwidth and API rate limits
Automated user management with SCIM provisioning
Advanced security and access controls
Managed billing with annual commitments and dedicated support
Spaces GPU hardware
$0.03USD / hour
On-demand hardware upgrades for Spaces, billed hourly per running instance; CPU Basic and ZeroGPU are free.
CPU Upgrade at $0.03/hour
Nvidia T4 small at $0.40/hour; T4 medium at $0.60/hour
Nvidia A100 large at $2.50/hour; 8x A100 at $20.00/hour
Custom on-demand hardware available
Community GPU grants offered for side projects
Inference Endpoints
$0.033USD / hour
Dedicated, autoscaling inference infrastructure for deploying Hub models without cold starts.
CPU instances starting at $0.03/hour
GPU instances such as NVIDIA T4 at $0.50/hour
NVIDIA H100 at $4.50/hour; H200 at $5.00/hour
NVIDIA B200 at $9.25/hour
Autoscaling, production-ready deployment from the Hub
Storage
$12USD / TB per month
Volume-based storage for models, datasets, Spaces and Buckets, with egress and CDN included.