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Hugging Face Hub - AI Model Serving Tool

Overview

The official Python client for the Hugging Face Hub. It lets Python developers interact with pre-trained models and datasets, manage repositories, and run inference on deployed models.

Key Features

  • Access and download pre-trained models and datasets from the Hugging Face Hub.
  • Manage model and dataset repositories programmatically.
  • Run inference on deployed models via the Python API.
  • Upload and version-control model files and metadata.
  • Authenticate and interact with Hub resources.

Ideal Use Cases

  • Quickly prototype model inference in Python applications.
  • Automate dataset and model repository management.
  • Integrate hosted models into experimentation pipelines.
  • Share and version models within teams.

Getting Started

  • Install the package using pip.
  • Import the huggingface_hub client in Python.
  • List or download available models and datasets via the API.
  • Invoke inference on deployed models using client methods.

Pricing

Pricing details are not provided in the supplied data.

Limitations

  • Python-only client — requires a Python runtime.
  • Operations depend on Hugging Face Hub availability and repository access permissions.

Key Information

  • Category: Model Serving
  • Type: AI Model Serving Tool
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