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tustoz
/
resnet50

Image Classification
Transformers
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use tustoz/resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tustoz/resnet50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tustoz/resnet50")
    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("tustoz/resnet50")
    model = AutoModelForImageClassification.from_pretrained("tustoz/resnet50", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnet50
94.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
tustoz's picture
tustoz
tustoz/plant-disease-resnet50
b15d499 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    2.54 kB
    tustoz/plant-disease-resnet50 5 months ago
  • config.json
    3.56 kB
    tustoz/plant-disease-resnet50 5 months ago
  • model.safetensors
    94.6 MB
    xet
    tustoz/plant-disease-resnet50 5 months ago
  • preprocessor_config.json
    391 Bytes
    tustoz/plant-disease-resnet50 5 months ago
  • training_args.bin
    5.2 kB
    xet
    tustoz/plant-disease-resnet50 5 months ago