Nx AI Manager Documentation
  • Nx AI Manager plugin v4.4
  • Nx AI Manager
    • Get started with the NX AI Manager plugin
    • 1. Install Network Optix
    • 2. Install Nx AI Manager Plugin
    • 3. Configure the Nx AI Manager plugin
      • 3.1 Model Settings
      • 3.2 Model pipeline selection and configuration
      • 3.3 Model pipelines on multiple devices
    • 4. Other Network Optix Plugin Settings
    • 5. Manual Plugin Installation
    • 6. Removing the Nx AI Manager
    • 7. Advanced configuration
      • 7.1 Nx AI Manager Manual Installation
      • 7.2 External Post-processing
      • 7.3 External Pre-processing
      • 7.4 Training Loop
      • 7.5 Enable ini settings
  • Nx AI Cloud
    • Introduction
    • Registration and log-in
    • Deployment and device management
    • Upload your model
      • Normalization
    • Use your model
    • API Documentation
  • SUPPORT & TROUBLESHOOTING
    • How to get support
    • Troubleshooting
      • Plugin checks
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      • Things to try
      • Controlling the server and the plugin
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  • Videos
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  • AI Accelerators Support
    • Introduction
    • Supported AI accelerators
    • Nvidia Support
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  • For Data Scientists
    • Introduction
    • About ONNX
    • Custom model creation
    • ONNX requirements
    • Importing models
      • From Edge Impulse
      • From Nota AI
      • From Teachable Machine
      • From Hugging Face
      • From Ultralytics
      • From PyTorch
      • From TensorFlow / TFLite
      • From Scikit-learn
      • Common Models
  • Miscellaneous
    • Nx AI Certification Test
    • Nx AI Manager on SCAiLX
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On this page
  • About Hugging Face
  • Deploying Hugging Face models
  1. For Data Scientists
  2. Importing models

From Hugging Face

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About Hugging Face

Hugging Face, Inc. is a French-American company headquartered in New York City, specializing in the development of computer tools for building applications using machine learning. Renowned for its transformers library tailored for natural language processing (NLP) applications, the company also offers a platform enabling users to share machine learning models and datasets while showcasing their work.

Despite Hugging Face focusing mostly on NLP models based on the transformers architecture, they are also providing support for image classficatin models in their library, and some object object detection models in the library.

Deploying Hugging Face models

As stated previously, our interest is focused only on vision models not NLP models, and specifically image classification and object detection models.

To deploy an image classification model, check out the guides.

timm
transformers
Common Models