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Hugging Face

Hugging Face is the platform for sharing machine learning models, datasets, and demos. Host models with Inference API or deploy to Spaces.

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Hugging Face is the platform where the ML community shares models, datasets, and applications. It's become the GitHub of machine learning.

Key Features:

  • Model Hub - Hundreds of thousands of pre-trained models
  • Datasets - Curated collections for training and evaluation
  • Spaces - Host ML demos and applications
  • Inference API - Run models without infrastructure

Platform capabilities:

  • Transformers Library - Industry-standard ML framework
  • AutoTrain - Fine-tune models without ML expertise
  • Enterprise Hub - Private model hosting for organizations
  • Hardware Options - CPU, GPU, and TPU inference

Hugging Face has become essential infrastructure for the ML ecosystem. Whether you're looking for a specific model, need to share your work, or want to deploy ML-powered features, the platform likely supports your use case. The combination of open community and enterprise features serves both exploration and production needs.

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