Hugging Face
FreemiumOpen source AI platform. Free model hosting, datasets, and inference.
About Hugging Face
Hugging Face is the leading platform for open source machine learning. It hosts hundreds of thousands of models, datasets, and demos, and provides tools to train, fine-tune, and deploy ML models.
What You Get for Free
- Model Hub - Access to 500,000+ pre-trained models for text, image, audio, and more
- Datasets - Thousands of open datasets for training and evaluation
- Spaces - Host ML demos and apps for free with Gradio or Streamlit
- Inference API - Run models via API with rate-limited free access
- Transformers library - The most popular open source ML library
- Tokenizers - Fast tokenization for NLP tasks
What to Know
Hugging Face is essential for anyone working with machine learning. The free tier covers most individual and small team use cases. Paid plans add private model hosting, dedicated inference endpoints, and more compute for Spaces.
Key Features
Pros & Cons
The free plan in practice
What you can actually do on Hugging Face's free plan (Unlimited public repos), where it stops, and when it's worth paying.
What you can do free
- Unlimited public repos
- Free inference API
- Spaces (app hosting)
- Datasets
- Model hub access
Where it stops
- Rate-limited inference
- Limited private repos
- No dedicated endpoints
When to upgrade to a paid plan
Free covers unlimited public models, datasets, and basic Spaces. Pay (PRO or for compute) only when you need private repos at scale, faster inference, or dedicated GPUs to actually run or host models, hosting and compute are the upgrade triggers, not access.
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