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amd
/
resnet50

Image Classification
Transformers
ONNX
PyTorch
resnet
RyzenAI
vision
classification
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use amd/resnet50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="amd/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("amd/resnet50")
    model = AutoModelForImageClassification.from_pretrained("amd/resnet50")
  • Notebooks
  • Google Colab
  • Kaggle
resnet50 / webnn
102 MB
Ctrl+K
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  • 4 contributors
History: 1 commit
iswaalex's picture
iswaalex
Add Webnn Demo model (#2)
9571294 30 days ago
  • onnx
    Add Webnn Demo model (#2) 30 days ago
  • config.json
    71.5 kB
    Add Webnn Demo model (#2) 30 days ago
  • preprocessor_config.json
    307 Bytes
    Add Webnn Demo model (#2) 30 days ago