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EnDevSols
/
Vision_Transformer_FineTuned

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use EnDevSols/Vision_Transformer_FineTuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="EnDevSols/Vision_Transformer_FineTuned")
    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("EnDevSols/Vision_Transformer_FineTuned")
    model = AutoModelForImageClassification.from_pretrained("EnDevSols/Vision_Transformer_FineTuned")
  • Notebooks
  • Google Colab
  • Kaggle
Vision_Transformer_FineTuned
343 MB
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  • 1 contributor
History: 5 commits
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fawadkhan
Update README.md
13e0bbf verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.66 kB
    Update README.md about 2 years ago
  • config.json
    758 Bytes
    Upload ViTForImageClassification about 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification about 2 years ago