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kd13
/
Modern-MobileNet

Image Classification
Transformers
Safetensors
mobilenet_custom
Mobile
edge
image
clf
custom_code
Model card Files Files and versions
xet
Community

Instructions to use kd13/Modern-MobileNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kd13/Modern-MobileNet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="kd13/Modern-MobileNet", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("kd13/Modern-MobileNet", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Modern-MobileNet
13.7 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
kd13's picture
kd13
Update README.md
45118a6 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    2.81 kB
    Update README.md 3 days ago
  • config.json
    9.41 kB
    Update config.json 3 days ago
  • configuration_mobilenet.py
    456 Bytes
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  • model.safetensors
    13.7 MB
    xet
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  • modeling_mobilenet.py
    4.92 kB
    Update modeling_mobilenet.py 3 days ago
  • preprocessor_config.json
    381 Bytes
    Upload 4 files 3 days ago
  • tiny_imagenet_labels.json
    9.04 kB
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