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littlebird13
/
resnet-50-web

Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
resnet
vision
Model card Files Files and versions
xet
Community
1

Instructions to use littlebird13/resnet-50-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use littlebird13/resnet-50-web with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="littlebird13/resnet-50-web")
    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("littlebird13/resnet-50-web")
    model = AutoModelForImageClassification.from_pretrained("littlebird13/resnet-50-web")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-50-web
308 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
littlebird13's picture
littlebird13
add
5b16807 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.64 kB
    add over 2 years ago
  • config.json
    69.6 kB
    add over 2 years ago
  • flax_model.msgpack
    102 MB
    xet
    add over 2 years ago
  • preprocessor_config.json
    266 Bytes
    add over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "torch.FloatStorage"

    What is a pickle import?

    103 MB
    xet
    add over 2 years ago
  • tf_model.h5
    103 MB
    xet
    add over 2 years ago