Freemium
Leading digital analytics platform for product insights and customer journey analytics
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Pricing
Freemium
Use cases
Machine learning engineers hosting Git-based models and datasets to collaborate on open-source or private artificial intelligence projects., Data scientists using the Dataset Viewer API to analyze metadata and content statistics for large-scale machine learning datasets., Developers deploying language models on dedicated infrastructure using Inference Endpoints or integrated cloud partners like AWS and Azure.
Strengths
The platform provides a centralized hub for hosting Git-based models, datasets, and interactive Spaces for machine learning collaboration (verified: 2026-01-29)., Users can access a Python client library and JavaScript libraries with built-in TypeScript types to interact programmatically with the ecosystem (verified: 2026-01-29)., The infrastructure supports optimized model serving through specialized toolkits like Text Generation Inference and Text Embeddings Inference (verified: 2026-01-29).
Limitations
Access to SSO, SAML support, and granular resource group controls requires a paid Team or Enterprise subscription (verified: 2026-01-29)., Private storage capacity and inference credits are subject to specific quotas based on the selected account tier (verified: 2026-01-29).
Last verified
Jan 29, 2026
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Strengths
- The platform provides a centralized hub for hosting Git-based models, datasets, and interactive Spaces for machine learning collaboration (verified: 2026-01-29).
- Users can access a Python client library and JavaScript libraries with built-in TypeScript types to interact programmatically with the ecosystem (verified: 2026-01-29).
- The infrastructure supports optimized model serving through specialized toolkits like Text Generation Inference and Text Embeddings Inference (verified: 2026-01-29).
Limitations
- Access to SSO, SAML support, and granular resource group controls requires a paid Team or Enterprise subscription (verified: 2026-01-29).
- Private storage capacity and inference credits are subject to specific quotas based on the selected account tier (verified: 2026-01-29).
FAQ
What features are included in the free version of the Hugging Face Hub?
The free tier allows users to explore, experiment, and collaborate on machine learning technology. It includes access to the central hub for hosting Git-based models and datasets, as well as features like model evaluation and the dataset viewer (verified: 2026-01-29).
How does the Pro account differ from the standard free user account?
A Pro account, priced at $9 per month, increases private storage capacity by 10x and provides 20x more inference credits. It also includes higher priority for ZeroGPU quotas and the ability to publish blog articles (verified: 2026-01-29).
What deployment options are available for users who need dedicated infrastructure?
Users can deploy models on dedicated, fully managed infrastructure via Inference Endpoints. Additionally, the platform supports integration with cloud providers such as AWS and Microsoft Azure for training and deployment (verified: 2026-01-29).
