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VCDSA
/
agriscan-efficientnet

Image Classification
Transformers
Safetensors
efficientnet
Model card Files Files and versions
xet
Community
1

Instructions to use VCDSA/agriscan-efficientnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VCDSA/agriscan-efficientnet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="VCDSA/agriscan-efficientnet")
    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("VCDSA/agriscan-efficientnet")
    model = AutoModelForImageClassification.from_pretrained("VCDSA/agriscan-efficientnet")
  • Notebooks
  • Google Colab
  • Kaggle
agriscan-efficientnet
16.5 MB
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  • 1 contributor
History: 3 commits
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VCDSA
Upload processor
0a12747 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.17 kB
    Upload EfficientNetForImageClassification 5 months ago
  • config.json
    3.96 kB
    Upload EfficientNetForImageClassification 5 months ago
  • model.safetensors
    16.4 MB
    xet
    Upload EfficientNetForImageClassification 5 months ago
  • preprocessor_config.json
    495 Bytes
    Upload processor 5 months ago