Hugging Face

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AI community platform for open-source ML models, datasets, and applications.

Collection time:
2025-04-29
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What is Hugging Face?

Hugging Face is an AI community building the future through open source and open science. It provides a platform where the machine learning community collaborates on models, datasets, and applications. Hugging Face offers tools for creating, discovering, and collaborating on ML projects, including hosting unlimited models, datasets, and applications. It also provides paid Compute and Enterprise solutions to accelerate ML development.

How to use Hugging Face?

Users can explore and download pre-trained models, datasets, and applications from the Hub. They can also host and collaborate on their own ML projects, deploy models on Inference Endpoints, or upgrade Spaces applications to use GPUs.

Hugging Face’s Core Features

Model Hub: Access to thousands of pre-trained models. Dataset Hub: Repository of diverse datasets for ML tasks. Spaces: Platform for building and hosting ML applications. Inference Endpoints: Deploy models on fully managed infrastructure. Compute: Paid compute resources for deploying and running ML applications. Enterprise Solutions: Enterprise-grade security, access controls, and dedicated support.

Hugging Face’s Use Cases

  • Finding and using pre-trained models for various ML tasks.
  • Collaborating on ML projects with other researchers and developers.
  • Deploying ML applications for public use.
  • Accelerating ML development with optimized compute resources.
  • Building and sharing custom datasets.

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