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microsoft
/
resnet-101

Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
resnet
vision
Model card Files Files and versions
xet
Community
2

Instructions to use microsoft/resnet-101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/resnet-101 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="microsoft/resnet-101")
    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("microsoft/resnet-101")
    model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-101")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-101
358 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
amyeroberts's picture
amyeroberts
Add TF weights (#1)
c2bf50f almost 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    2.67 kB
    Create README.md almost 4 years ago
  • config.json
    69.6 kB
    Add model about 4 years ago
  • preprocessor_config.json
    266 Bytes
    Add feature extractor about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    179 MB
    xet
    Add model about 4 years ago
  • tf_model.h5
    179 MB
    xet
    Add TF weights (#1) almost 4 years ago