Hugging Face
The premier collaboration platform and community for open-source AI models, datasets, and applications.
What is Hugging Face?
Hugging Face is the leading collaboration platform and AI community building the future of artificial intelligence through open source and open science. It serves as a central hub where the machine learning community collaborates on hosting unlimited models, datasets, and web applications known as Hugging Face Spaces. It offers a foundational ecosystem for advanced models and foundational tools—ranging from deepseek, deepseek v4, and deepseek v4 pro to gemma 4, qwen 3.5, and qwen3.5. Users frequently leverage the platform for multimodal tasks like running deepseek ocr, deploying advanced text generation like kimi k2 thinking or kimi k2.5, experimenting with text-to-image/video animations via wan 2.2 animate, running z-image-turbo or z image turbo, editing graphics with qwen image edit, and evaluating models like glm 4.7 or glm 4.5. It acts as a comprehensive deepsite for machine learning tools, integrating seamlessly with open-source frameworks like Transformers, Diffusers, and PEFT.
Best Hugging Face use cases by task, role, industry, and platform
These use cases show where Hugging Face fits best, ranked by fit score before popularity or pricing.
Hugging Face Pricing Plans
Compare Hugging Face free options, Hugging Face paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Pro from $9/mo
Host unlimited public models, datasets, and Spaces applications on basic 2 vCPU compute with community support.
Unlock ZeroGPU with 5x usage quota, Dev Mode for Spaces, a Pro Profile Badge, early feature previews, and $2 in multi-provider inference credits.
Advanced platform for teams including SSO/SAML support, custom storage regions, audit logs, resource groups, centralized token approvals, private dataset viewers, and 5x more ZeroGPU quota for all team members.
Upgrade Spaces hardware from CPU Upgrade ($0.03/hr) up to premium configurations like Nvidia T4 ($0.40-$0.60/hr), Nvidia L4 ($0.80-$3.80/hr), Nvidia L40S ($1.80-$23.50/hr), Nvidia A10G ($1.00-$5.00/hr), or Nvidia A100 ($4.00/hr).
Upgrade your application storage from ephemeral to persistent. Small (20 GB) for $5/mo, Medium (150 GB) for $25/mo, or Large (1 TB) for $100/mo.
Secure, dedicated production deployment. CPU instances start at $0.03/hr (AWS), GPUs like Nvidia T4 start at $0.50/hr, and accelerators like AWS Inf2 start at $0.75/hr.
Pricing updated:Jun 11, 2026
Hugging Face AI Features
Hugging Face Pros and Cons
Pros
- Free hosting for unlimited public models, datasets, and basic CPU Spaces
- Massive, highly active global developer community and open-source ecosystem
- Flexible deployment across multiple cloud providers like AWS, Azure, and GCP
- Granular security and enterprise-grade access controls available
Limitations
- Advanced GPU and accelerator hardware compute options require paid pricing plans
- Free-tier basic CPU storage is ephemeral unless upgraded to persistent storage