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clr4takeoff
/
convnext-small-cifar10

Image Classification
Transformers
Safetensors
convnext
cifar-10
computer-vision
Model card Files Files and versions
xet
Community

Instructions to use clr4takeoff/convnext-small-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use clr4takeoff/convnext-small-cifar10 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="clr4takeoff/convnext-small-cifar10")
    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("clr4takeoff/convnext-small-cifar10")
    model = AutoModelForImageClassification.from_pretrained("clr4takeoff/convnext-small-cifar10")
  • Notebooks
  • Google Colab
  • Kaggle
convnext-small-cifar10
198 MB
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  • 1 contributor
History: 2 commits
clr4takeoff's picture
clr4takeoff
ConvNeXt-Small trained on CIFAR-10
ea4bea6 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.75 kB
    ConvNeXt-Small trained on CIFAR-10 5 months ago
  • config.json
    1.11 kB
    ConvNeXt-Small trained on CIFAR-10 5 months ago
  • model.safetensors
    198 MB
    xet
    ConvNeXt-Small trained on CIFAR-10 5 months ago
  • preprocessor_config.json
    391 Bytes
    ConvNeXt-Small trained on CIFAR-10 5 months ago