Hugging Face Hub
Open-source platform for hosting, sharing, and collaborating on machine learning models, datasets, and interactive AI applications.
Description
Hugging Face Hub is the central hub of the open-source machine learning ecosystem, enabling creators and organizations to store, discover, and collaborate on models, datasets, and demos (Spaces). The platform hosts over 2 million public models, over 500,000 datasets, and over 1 million Spaces applications.
The Hub offers Git-based repositories with version control, inference tools (Inference Providers, Inference Endpoints), an environment for hosting interactive ML applications (Spaces with Gradio, Streamlit, and Docker support), AutoTrain for automated model training, and an Enterprise tier with advanced security features, SSO, audit logs, and data residency controls.
MLOps LifecycleMLOps LifecycleFull model lifecycle: registry, feature store, prompt management, monitoring and human-in-the-loop.
Model Registry
Feature Store
Prompt Management
Monitoring
Human-in-the-Loop
Data & KnowledgeData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).
SecurityEnterprise SecurityCertifications, access controls and data-protection features essential for corporate deployments and cloud privacy compliance.
Developer EcosystemDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.
Pricing & Business ModelPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).
Pricing models
Resource quotas
SLA & Support