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jonglet
/
clasificare

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use jonglet/clasificare with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jonglet/clasificare")
    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("jonglet/clasificare")
    model = AutoModelForImageClassification.from_pretrained("jonglet/clasificare")
  • Notebooks
  • Google Colab
  • Kaggle
clasificare
687 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8ed0fc4 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.02 kB
    Upload ViTForImageClassification about 3 years ago
  • model.safetensors
    343 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    Upload ViTForImageClassification about 3 years ago