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Shubhamai
/
resnet-50

Image Classification
Transformers
JAX
resnet
Model card Files Files and versions
xet
Community

Instructions to use Shubhamai/resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shubhamai/resnet-50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Shubhamai/resnet-50")
    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("Shubhamai/resnet-50")
    model = AutoModelForImageClassification.from_pretrained("Shubhamai/resnet-50")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-50
103 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Shubhamai's picture
Shubhamai
updated per new model code
9ed3b66 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • config.json
    69.7 kB
    Upload config.json over 3 years ago
  • flax_model.msgpack
    102 MB
    xet
    Upload flax_model.msgpack over 3 years ago
  • pt_resnet_to_flax.py
    2.14 kB
    updated per new model code over 3 years ago