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Hugging Face
9.1/10
"2M+ models + ZeroGPU H200 + $0.03/hr inference—the essential AI platform."
The AI hub with 2M+ models, ZeroGPU (H200), Inference Endpoints from $0.03/hr, AutoTrain, and Community Evals.
Best for:ML EngineersAI ResearchersData ScientistsOpen Source Contributors
Free / Pro $9/mo / Team $20/user/mo / Enterprise from $50/user/mo
Verified Tool
About Hugging Face
Hugging Face is the "GitHub of AI" hosting 2M+ models, 500K+ datasets, and 1M+ Spaces. The central hub for AI research community to share, test, and collaborate on models including Llama, Mistral, Flux, and Stable Diffusion.
Transformers library is the industry standard for transformer models across NLP, vision, audio, and multimodal. Compatible with PyTorch, TensorFlow, and JAX. Additional libraries: Diffusers (image/video gen), Tokenizers, PEFT (parameter-efficient fine-tuning), Accelerate (distributed training), Transformers.js (browser/Node.js).
Free tier: 2M+ public models, 500K+ datasets, 1M+ Spaces. Basic Spaces (2 vCPU, 16GB) and ZeroGPU (Nvidia H200 bursts). Serverless Inference API with rate limits. Pro ($9/mo): 8x ZeroGPU quota with highest priority, 20x inference credits, 10x private storage, Spaces Dev Mode, H200 GPU access. Team ($20/user/mo): all Pro benefits, SSO/SAML, Storage Regions, Audit Logs, Resource Groups, 1TB storage/user. Enterprise (from $50/user/mo): highest limits, managed billing, dedicated support, private clouds, compliance SLAs.
Inference Endpoints: from $0.03/hr, per-minute billing, dedicated infrastructure, autoscaling. HUGS: $1/hr per container on AWS/GCP. AutoTrain simplifies custom model training. Community Evals (Feb 2026): benchmark datasets host their own leaderboards.
Key Features
2M+ Models Hub
ZeroGPU (Nvidia H200)
Inference Endpoints ($0.03/hr)
Transformers + Diffusers
AutoTrain (No-Code)
Community Evals (Feb 2026)
PEFT Fine-Tuning
The Good
- 2M+ models with ZeroGPU H200 on free tier
- Pro at $9/mo is incredible value
- Inference Endpoints from $0.03/hr with autoscale
- Community Evals decentralize benchmarking
The Not-So-Good
- GPU costs for large models add up quickly
- Not accessible to non-technical users
- Free Spaces have limited resources
- Documentation can overwhelm beginners
Editor's Review
Editor's Review (February 2026)
Hugging Face now hosts 2M+ models (up from 500K) with ZeroGPU providing free H200 GPU bursts. Pro at $9/mo is absurd value. Community Evals (Feb 2026) decentralize benchmark leaderboards. Inference Endpoints from $0.03/hr make production deployment accessible.
What We Love:
• 2M+ models with free ZeroGPU (Nvidia H200) bursts for Spaces
• Pro ($9/mo): 8x ZeroGPU, 20x inference credits, H200 access
• Inference Endpoints from $0.03/hr with per-minute billing and autoscaling
• Community Evals (Feb 2026): benchmark datasets host their own leaderboards
What Could Be Better:
• GPU costs for training/hosting large models add up quickly
• Not accessible to non-technical users—requires programming knowledge
• Free tier Spaces can be slow with limited resources
• Documentation can be overwhelming for beginners
Who Should Use It:
ML engineers, AI researchers, and data scientists. Essential for building AI applications, fine-tuning models, or evaluating open-source releases. Every major AI advance is published here first.
Frequently Asked Questions
Q:What is ZeroGPU?
Free Nvidia H200 GPU access for Spaces in quick bursts. Pro users get 8x quota with highest priority. Enables running GPU-intensive models without paid GPU instances.
Q:How much does Hugging Face cost?
Free: 2M+ models, Spaces, ZeroGPU bursts. Pro ($9/mo): 8x GPU, 20x credits, H200 access. Team ($20/user/mo): SSO, audit logs, 1TB storage. Enterprise (from $50/user/mo): private clouds, compliance SLAs. Endpoints from $0.03/hr.
Q:What are Community Evals?
Launched Feb 2026, benchmark datasets on the Hub host their own leaderboards and automatically collect evaluation results from model repos. Decentralizes benchmarking with transparent, versioned, reproducible submissions.
Q:What is AutoTrain?
Simplified model training with automated pipelines. Train custom AI models without deep technical expertise. Select a model, upload data, and AutoTrain handles fine-tuning with optimized hyperparameters.
Tool Information
Pricing ModelFreemium
Starting PriceFree / Pro $9/mo / Team $20/user/mo / Enterprise from $50/user/mo
CategoryCoding Assistants
Last UpdatedFeb 2026
