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Acras
/
Vit-Flower

Image Classification
Transformers
vit
vision
flowers
Model card Files Files and versions
xet
Community

Instructions to use Acras/Vit-Flower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Acras/Vit-Flower with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Acras/Vit-Flower")
    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("Acras/Vit-Flower")
    model = AutoModelForImageClassification.from_pretrained("Acras/Vit-Flower")
  • Notebooks
  • Google Colab
  • Kaggle
Vit-Flower
348 MB
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  • 1 contributor
History: 3 commits
Acras's picture
Acras
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • Vit-Flower.safetensors
    348 MB
    xet
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  • config.json
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  • example_inference.py
    1.52 kB
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  • id2label.json
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  • id2label_full.json
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  • label2id.json
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  • preprocessor_config.json
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  • requirements.txt
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