81
Stack Score
Editorial pick✓ Verified working
Hugging Face
The home of open-source AI models
Try Hugging Face✓ Free trial available
Best for
Best for ML engineers and researchers who want a single hub for models, datasets and experiment hosting.
At a glance
- Pricing
- freemiumfrom $9/mo
- Setup time
- 15 minutes
- Learning curve
- medium
- Last verified
- 5/21/2026
What we love
- ✓Single source for almost every released open-source model
- ✓Spaces lets you ship a model demo in 10 minutes
- ✓Transformers library is the de facto standard
Where it falls short
- −Search and discovery on the Hub is hit-or-miss
- −Inference Endpoints are pricier than Together/Fireworks for serverless
- −Spaces can hit cold-start delays on the free tier
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Free
$0
forever
- ✓Unlimited public models
- ✓Limited Spaces hardware
- ✓Community Inference API
Pro
$9
per month
- ✓Private models
- ✓Higher Spaces hardware
- ✓Inference API priority
Enterprise Hub
$20
per user per month
- ✓SSO
- ✓Audit logs
- ✓Private deployments
- ✓Compliance
Why we picked it
If a model has been released this year, Hugging Face has it. The Inference Endpoints are the no-fuss way to serve a model that does not exist yet on the big inference providers.
Overview
Model hub, datasets, Spaces (hosted demos) and inference endpoints for the open-source AI ecosystem. Where every new model lands first.
Key features
- ●Model hub with 1M+ open-source models
- ●Datasets repository with versioned data
- ●Spaces — hosted Gradio and Streamlit demos
- ●Inference Endpoints with autoscaling
- ●AutoTrain for no-code fine-tuning
- ●Transformers and Diffusers Python libraries
- ●Enterprise Hub with SSO and audit
Best use cases
Try a brand-new model
Find a model on the Hub, open its Space, test outputs in the browser before integrating.
Serve a custom model
Push your fine-tuned model to a private repo, spin up an Inference Endpoint with one click.
Integrations
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