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ahmed792002
/
vit-plant-classification

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use ahmed792002/vit-plant-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ahmed792002/vit-plant-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ahmed792002/vit-plant-classification")
    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("ahmed792002/vit-plant-classification")
    model = AutoModelForImageClassification.from_pretrained("ahmed792002/vit-plant-classification")
  • Notebooks
  • Google Colab
  • Kaggle
vit-plant-classification
343 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
ahmed792002's picture
ahmed792002
Create preprocessor_config.json
2608031 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.67 kB
    Upload ViTForImageClassification over 1 year ago
  • config.json
    2.22 kB
    Upload ViTForImageClassification over 1 year ago
  • model.safetensors
    343 MB
    xet
    End of training over 1 year ago
  • preprocessor_config.json
    164 Bytes
    Create preprocessor_config.json over 1 year ago
  • training_args.bin
    5.18 kB
    xet
    End of training over 1 year ago