Hugging Face is a platform and hub for machine-learning models, datasets, and tools, including hosted inference, AutoTrain, and Spaces, aimed at ML practitioners sharing and deploying models. It offers a free hub, a free Spaces tier, and a free Inference API allowance, with usage-based pricing beyond that. Its core libraries such as transformers are open-source under Apache 2.0, while the hosted platform is a managed service that is not self-hostable. It supports managed training via AutoTrain, model hosting via Inference Endpoints, fine-tuning, and notebooks via Spaces. Founded in 2016, it carries a SOC 2 attestation.
model-hubopen-sourceinferencefine-tuning
Overview
- Founded
- 2016
- Pricing tier
- Mid
- Startup-friendly
- Yes
- Enterprise-ready
- Yes
ML platform
- Free tier
- Yes: Free hub, free Spaces tier, free Inference API allowance.
- Open-source
- Yes
- Self-hostable
- No
- Managed training
- Yes
- Model hosting
- Yes
- Fine tuning
- Yes
- Notebooks
- Yes