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What is Hugging Face?
Hugging Face is the central hub of the open-source machine learning community: hundreds of thousands of models and datasets, live demo Spaces, and libraries like Transformers that have become the standard way to work with open models.
Key features
- Hundreds of thousands of open models and datasets
- Spaces for hosting live, interactive model demos
- Transformers and other libraries used across the ML ecosystem
- Inference Endpoints for deploying models to production
- AutoTrain for fine-tuning models without writing custom code
How to get started
- Create a free Hugging Face account
- Browse or search the Hub for a model or dataset
- Try it directly in a Space, or download it for local use
- Use Inference Endpoints or AutoTrain to deploy or fine-tune
Use cases
- Discovering and comparing open-source models for a task
- Hosting a public demo of a model or research project
- Fine-tuning open models without building custom training code
- Accessing datasets for training or evaluating your own models
Hugging Face vs. alternatives
| Tool | How it compares |
|---|---|
| Hugging Face | The largest hub for open models, datasets, and demos. |
| Replicate | simpler API for running models, smaller catalog |
| Together AI | more production-focused hosting |
FAQ
Is Hugging Face free to use?
Hugging Face's plans: Free tier, paid Pro/Enterprise and compute plans. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is Hugging Face used for?
The largest hub for open models, datasets, and demos.
Who is Hugging Face best for?
Hugging Face is a good fit for discovering and comparing open-source models for a task, or hosting a public demo of a model or research project.
What are the alternatives to Hugging Face?
Commonly compared alternatives include Replicate and Together AI, see the comparison above for how they differ.
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TLast reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools