What is Hugging Face used for?

Hugging Face is a hub where the machine learning community hosts and shares models, datasets and demo apps, with inference services and enterprise plans. It is a good fit for finding pretrained models for a project, publishing a demo of a trained model and deploying hosted inference endpoints.

Is Hugging Face free?

Yes. Hugging Face has a free plan, and paid plans start at $9 per seat per month.

Is Hugging Face open source?

No. Hugging Face is proprietary (closed-source) software. In the AI Infrastructure category, open-source options include Label Studio, SGLang and MLflow.

What are some alternatives to Hugging Face?

Hugging Face competes with Replicate, Modal and Amazon SageMaker.

Hugging Face: features, pricing and alternatives

About Hugging Face

Hugging Face is an online platform on which machine learning practitioners collaborate around shared models, datasets and applications. Its Hub hosts a very large catalog of models and datasets, and Spaces lets people run and share interactive demo apps, many of them built on the models published there.

Beyond hosting, the company offers Inference Providers and Inference Endpoints for running models, storage buckets, collections, daily papers, documentation and learning resources, and HuggingChat. Team and Enterprise offerings, a PRO subscription and enterprise support are listed for organizations. The company describes its mission as advancing and democratizing AI through open source and open science.

Hugging Face is a hosted commercial platform, even though it develops open-source libraries and many hosted models are open. It suits researchers, ML engineers and companies who need to find, share and deploy models, and a free account is enough to start browsing and publishing.

Key features

Hub for hosting and sharing ML models
Dataset hosting and discovery
Spaces for running demo apps
Inference Providers and Inference Endpoints
Storage buckets for large files
Team and Enterprise organization features

Good fit for

→Finding pretrained models for a project
→Publishing a demo of a trained model
→Deploying hosted inference endpoints

Tags: machine-learning; model-hub; datasets; ai-infrastructure; inference; open-source-ai; mlops

Hugging Face: questions and answers

What is Hugging Face used for?: Hugging Face is a hub where the machine learning community hosts and shares models, datasets and demo apps, with inference services and enterprise plans. It is a good fit for finding pretrained models for a project, publishing a demo of a trained model and deploying hosted inference endpoints.
Is Hugging Face free?: Yes. Hugging Face has a free plan, and paid plans start at $9 per seat per month.
Is Hugging Face open source?: No. Hugging Face is proprietary (closed-source) software. In the AI Infrastructure category, open-source options include Label Studio, SGLang and MLflow.
What are some alternatives to Hugging Face?: Hugging Face competes with Replicate, Modal and Amazon SageMaker.