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monarch8661
/
moe

Image Classification
Transformers
English
heritage
temple
damage-assessment
mixture-of-experts
Mixture of Experts
resnet50
efficientnet-b4
vit-base-patch16-224
yolo
Model card Files Files and versions
xet
Community

Instructions to use monarch8661/moe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use monarch8661/moe with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="monarch8661/moe")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("monarch8661/moe", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
moe
3.79 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
monarch8661's picture
monarch8661
Create README.md
de92012 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    4.73 kB
    Create README.md about 2 months ago
  • best.pt
    22.5 MB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • efficientnet_b4_best.pth
    223 MB
    xet
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  • efficientnet_b4_latest.pth
    223 MB
    xet
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  • epoch0.pt
    89.5 MB
    xet
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  • gate_best.pth
    5.12 MB
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  • last.pt
    22.5 MB
    xet
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  • resnet50_best.pth
    490 MB
    xet
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  • resnet50_latest.pth
    295 MB
    xet
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  • vit_b16_best.pth
    1.38 GB
    xet
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  • vit_b16_latest.pth
    1.03 GB
    xet
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  • yolo_damage_best.pth
    5.37 MB
    xet
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  • yolo_damage_latest.pth
    5.37 MB
    xet
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