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vananhle
/
efficientnetbo-nmsc-2-classes

Image Classification
Transformers
Safetensors
efficientnet
Model card Files Files and versions
xet
Community

Instructions to use vananhle/efficientnetbo-nmsc-2-classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vananhle/efficientnetbo-nmsc-2-classes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="vananhle/efficientnetbo-nmsc-2-classes")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("vananhle/efficientnetbo-nmsc-2-classes")
    model = AutoModelForImageClassification.from_pretrained("vananhle/efficientnetbo-nmsc-2-classes")
  • Notebooks
  • Google Colab
  • Kaggle
efficientnetbo-nmsc-2-classes
16.3 MB
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  • 1 contributor
History: 3 commits
vananhle's picture
vananhle
Upload preprocessor_config.json
5d860b2 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload EfficientNetForImageClassification almost 2 years ago
  • config.json
    1.4 kB
    Upload EfficientNetForImageClassification almost 2 years ago
  • model.safetensors
    16.3 MB
    xet
    Upload EfficientNetForImageClassification almost 2 years ago
  • preprocessor_config.json
    828 Bytes
    Upload preprocessor_config.json almost 2 years ago