Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

mobilint
/
DenseNet161

Image Classification
Mobilint
ONNX
Model card Files Files and versions
xet
Community

Instructions to use mobilint/DenseNet161 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Mobilint

    How to use mobilint/DenseNet161 with Mobilint:

    # pip install mblt-model-zoo
    from mblt_model_zoo.vision import MBLT_Engine
    
    model = MBLT_Engine(
        model_cls="DenseNet161",
        model_type="DEFAULT",
        model_path="",
        core_mode="global8",
    )
    
    try:
        image = model.preprocess("path/to/image.jpg")
        output = model(image)
        result = model.postprocess(output)
    finally:
        model.dispose()
    
  • Notebooks
  • Google Colab
  • Kaggle
DenseNet161
186 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 9 commits
Kanybek Asanbekov
Update Mobilint logo URL in README
a1d0e10 about 2 months ago
  • aries
    Add aries results and fix .gitattributes order 2 months ago
  • .gitattributes
    1.56 kB
    feat: Update DenseNet161 model files with new global variants and generalize LFS tracking for .mxq files. 5 months ago
  • README.md
    603 Bytes
    Update Mobilint logo URL in README about 2 months ago