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AhmedSayeem
/
VIT_Basic

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use AhmedSayeem/VIT_Basic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="AhmedSayeem/VIT_Basic")
    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("AhmedSayeem/VIT_Basic")
    model = AutoModelForImageClassification.from_pretrained("AhmedSayeem/VIT_Basic")
  • Notebooks
  • Google Colab
  • Kaggle
VIT_Basic / images
142 kB
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  • 1 contributor
History: 1 commit
AhmedSayeem's picture
AhmedSayeem
commit files to HF hub
92a217e about 4 years ago
  • chairs.jpg
    23.1 kB
    commit files to HF hub about 4 years ago
  • hot_dog.jpg
    18.4 kB
    commit files to HF hub about 4 years ago
  • ice_cream.jpg
    36.3 kB
    commit files to HF hub about 4 years ago
  • ladders.jpg
    25.4 kB
    commit files to HF hub about 4 years ago
  • tables.jpg
    39.2 kB
    commit files to HF hub about 4 years ago