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Hugging Face

AI model hub and platform

About Hugging Face

Access, share, and deploy over 500,000 AI models with Hugging Face, the GitHub of machine learning. Download pre-trained models for any task, fine-tune them on your data, and deploy with simple APIs. ML engineers prototype faster, researchers share breakthroughs, and developers integrate state-of-the-art AI without training from scratch. The platform democratizes AI, making cutting-edge models accessible to everyone regardless of computational resources.

Tags

#ml#models#development#platform
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Pricing

Free tier, Pro $9/mo

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Hugging Face Core Features

Model Hub — Access over 500,000 pre-trained models for NLP, vision, audio, and more. Search, filter, and download models from the community, or share your own.

Datasets Library — Discover and use thousands of public datasets for training and evaluation. Integrate seamlessly with the Hugging Face ecosystem.

Spaces — Deploy and showcase AI apps in minutes with Spaces. Host demos, interactive apps, or ML models with zero infrastructure management.

Inference API — Run models via simple HTTP requests without managing servers. Pay-as-you-go or use free tier for experimentation.

AutoTrain — Train custom models without writing code. Upload your data, choose a task, and AutoTrain handles the rest.

Transformers Library — Use the popular open-source Python library to load and fine-tune thousands of models with just a few lines of code.

Community & Collaboration — Collaborate with a vibrant community of researchers and developers. Share models, datasets, and knowledge, and contribute to open-source projects.

Hugging Face Subscription Plan

Free

$0

  • Unlimited public models and datasets
  • Community support
  • Limited inference API usage
  • 1 private model

Pro

$9/month

  • Everything in Free
  • Unlimited private models and datasets
  • Higher rate limits for inference API
  • Priority support
  • Early access to new features

Enterprise

Custom (check official pricing)

  • Everything in Pro
  • Dedicated infrastructure
  • SSO and advanced security
  • Custom SLAs
  • Onboarding and training

FAQ from Hugging Face

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