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Hugging Face

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Category of Hugging Face:
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Open SourceAPIFor Developers
Description:

Discover Hugging Face, the leading AI community with 2M+ models, 1M+ applications, and 500k+ datasets for machine learning. Access open-source tools and enterprise solutions.

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Last update:
16 February, 2026

Overview of Hugging Face

Hugging Face is the leading AI community platform where machine learning practitioners collaborate on models, datasets, and applications. As the central hub for open-source AI development, it hosts over 2 million models, 1 million applications, and 500,000 datasets across all modalities – including text, image, video, audio, and 3D. The platform serves as both a collaborative workspace and a comprehensive resource library, enabling developers, researchers, and organizations to build, share, and deploy AI solutions efficiently.

This platform has become essential for anyone working in AI APIs & SDKs and AI Model Hosting, providing enterprise-grade solutions alongside community-driven open-source tools. With more than 50,000 organizations using Hugging Face, it represents the foundation of modern machine learning infrastructure, bridging the gap between cutting-edge research and practical implementation across various AI domains.

How to Use Hugging Face

Getting started with Hugging Face involves creating a free account to access the platform's extensive resources. Users can browse the model hub to find pre-trained models for specific tasks, explore Spaces to discover and deploy AI applications, or access datasets for training custom models. For deployment, developers can use Inference Endpoints for optimized model serving or upgrade their Spaces with GPU acceleration. The platform supports seamless integration through its unified API, allowing access to thousands of models from leading AI providers without service fees.

Core Features of Hugging Face

  1. Model Hub – Access over 2 million pre-trained models across all AI modalities and tasks
  2. Spaces Platform – Deploy and share 1 million+ AI applications with easy GPU upgrades
  3. Dataset Repository – Browse and contribute to 500,000+ curated datasets for training
  4. Inference API – Unified access to 45,000+ models from top AI providers with no fees
  5. Enterprise Solutions – Team collaboration with security controls, audit logs, and dedicated support

Use Cases for Hugging Face

  • Deploying production-ready AI models through optimized Inference Endpoints
  • Collaborating on open-source machine learning projects with version control
  • Discovering and testing state-of-the-art models for research and development
  • Building AI applications with GPU acceleration in Hugging Face Spaces
  • Accessing unified API for multiple AI providers without vendor lock-in
  • Training custom models using curated datasets from the community repository
  • Implementing enterprise AI solutions with security and access controls

Support and Contact

For support inquiries, visit the official Hugging Face website. The platform offers comprehensive documentation, community forums, and enterprise support options for paid plans.

Company Info

Hugging Face operates as a leading AI platform company focused on democratizing machine learning through open collaboration. The company develops foundational ML tooling with community participation and serves organizations worldwide with both free community resources and enterprise-grade solutions.

Login and Signup

Log in to your account or sign up for a new one on the Hugging Face website. The platform offers free access to its extensive model library and community features, with optional paid upgrades for team collaboration and compute resources.

Hugging Face Frequently Asked Questions

What is Hugging Face and what does it offer for AI development?
Hugging Face is a comprehensive AI platform providing access to millions of models, datasets, and applications for machine learning development and deployment.
How much does Hugging Face cost for team collaboration and enterprise use?
Hugging Face offers Team & Enterprise plans starting at $20 per user per month, with Compute resources available from $0.60 per hour for GPU access.
How can I deploy models on Hugging Face?
You can deploy models using Inference Endpoints or upgrade Spaces with GPU acceleration for optimized performance and scalability.
What types of models are available on Hugging Face?
Hugging Face hosts over 2 million models across text, image, video, audio, and 3D modalities for various AI tasks and applications.

Hugging Face Pricing

Current prices may vary due to updates

Starting at $20/user/month

Team & Enterprise

Enterprise platform for AI teams with security, access controls, support, SSO, audit logs, and private datasets. Ideal for collaborative ML projects.

Starting at $0.60/hour for GPU

Compute

Deploy models on Inference Endpoints or GPU-upgraded Spaces for scalable, production-ready AI deployment with enhanced performance.

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