Hugging Face
Hub for open AI models, datasets and demos
FreeAI6 impressions
Hugging Face provides a collaborative hub for hosting, sharing, and deploying open-source AI models, datasets, and applications.
- for
- ML researchers, developers, and teams building and sharing AI models and demos.
- pricing
- freemium
Key features
- Model Hub — Browse, host and version-control over 2 M public models across text, image, audio and more.
- Dataset Hub — Store, share and explore 500 k+ public datasets for any ML task.
- Spaces — Deploy interactive ML demos with Gradio or Docker, with optional GPU acceleration.
- Compute & Inference — On-demand GPU/CPU instances and autoscaling inference endpoints starting at $0.60 / hour.
- Enterprise Team Features — Single sign-on, access controls, audit logs and dedicated support for organizations.
- Hugging Face PRO — Enhanced storage, inference credits and priority GPU quota for $9 / month.
Use cases
- Publish a fine-tuned language model for community reuse.
- Create an interactive image-generation demo with Gradio in a Space.
- Run batch inference on large datasets using on-demand GPU instances.
- Collaborate on a private dataset within a corporate team.
- Deploy a production-grade inference endpoint with autoscaling.
Hugging Face pricing
- Pro$9/month10× private storage capacity · 20× inference credits · ZeroGPU quota
- Team$20/month per user/monthEnterprise security · Access controls · Dedicated support
- Enterprise$50/month per user/monthCustom SLAs · Audit logs · Resource groups
Hugging Face vs alternatives
 Hugging Face |  Ollama |  OpenRouter |  Modal |  Replicate | |
|---|---|---|---|---|---|
| Best for | Open-source model and dataset collaboration | On-device inference | Unified model API | Python serverless AI | Model serving API |
| Pricing | Freemium | Free | Subscription | Subscription | Subscription |
| DevHunt upvotes | 0 | 0 | 0 | 0 | 0 |
| Launched | — | — | — | — | — |
- Hugging Face vs Ollama: Runs models locally without cloud hosting
- Hugging Face vs OpenRouter: Single API to access many hosted models, no hub UI
- Hugging Face vs Modal: Serverless Python workloads with built-in GPU, not a model hub
- Hugging Face vs Replicate: API for running and fine-tuning hosted models, not an open model hub
Hugging Face FAQ
How can I host a private model?+
Use the Hub’s private repositories; enterprise plans provide access controls and audit logs.
What hardware options are available for Spaces?+
CPU basics are free; GPU options like Nvidia T4, L4, A10G, A100 start at $0.40-$0.60 per hour.
Can I run inference without managing servers?+
Yes, dedicated inference endpoints are available with autoscaling and start at $0.033 / hour.
Is there a free tier?+
Public model, dataset and Space hosting are free; paid plans add private storage, enterprise features and compute.
How do I integrate Hugging Face models into my code?+
Use the Hub Python library, Transformers, Diffusers or the unified API for 45 k+ models.
Summarized by DevHunt from huggingface.co · Oct 1, 2026. Details may change; check the official site.
About this listing
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