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google
/
mobilenet_v2_0.35_96

Image Classification
Transformers
PyTorch
mobilenet_v2
vision
Model card Files Files and versions
xet
Community
3

Instructions to use google/mobilenet_v2_0.35_96 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/mobilenet_v2_0.35_96 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="google/mobilenet_v2_0.35_96")
    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("google/mobilenet_v2_0.35_96")
    model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v2_0.35_96")
  • Notebooks
  • Google Colab
  • Kaggle
mobilenet_v2_0.35_96
6.95 MB
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  • 3 contributors
History: 5 commits
amyeroberts's picture
amyeroberts
Update dropout value (#2)
1e2ab27 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    3.32 kB
    add model card over 3 years ago
  • config.json
    69.8 kB
    Update dropout value (#2) about 3 years ago
  • preprocessor_config.json
    404 Bytes
    Upload processor over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    6.87 MB
    xet
    Upload MobileNetV2ForImageClassification over 3 years ago