Overview
Hugging Face is a platform and open-source ecosystem for machine learning, hosting hundreds of thousands of pretrained models and datasets alongside libraries like Transformers and Diffusers, plus hosted inference and Spaces for deploying ML demos.
Available On
WebAPI
Key Features
Model & dataset hub
Transformers/Diffusers open-source libraries
Spaces for hosting ML demos
Inference Endpoints
AutoTrain for fine-tuning
Pros
- De facto standard hub for open ML models
- Deep open-source library ecosystem
- Free public hosting for models and demos
Cons
- Can be overwhelming for ML newcomers
- Paid inference/compute costs add up at scale
- Model quality varies widely since it's community-driven
Pricing Plans
FreeFREE
Free
- Public model/dataset hosting
- Community Spaces
ProPAID
$9/mo
- Private repos
- ZeroGPU Spaces access
- Higher inference limits
User Reviews
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Integrations
PyTorchTensorFlowAWSGoogle Cloud
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Quick Info
Websitehuggingface.co
CategoryArtificial Intelligence
Team SizeSMB
ReleasedJanuary 1, 2016
Last UpdatedJune 1, 2026
Monthly Visits90.0M
API AvailableYes
Open SourceYes
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Hosts and serves open-source AI models; provides fine-tuning, inference, and demo-hosting infrastructure.
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