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darshanz
/
occupation-prediction

Image Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use darshanz/occupation-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use darshanz/occupation-prediction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="darshanz/occupation-prediction")
    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("darshanz/occupation-prediction")
    model = AutoModelForImageClassification.from_pretrained("darshanz/occupation-prediction")
  • Notebooks
  • Google Colab
  • Kaggle
occupation-prediction / logs /validation
3.49 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
darshanz's picture
darshanz
End of training
666f2a0 about 4 years ago
  • events.out.tfevents.1651984748.f9f01bc72d55.72.1.v2
    3.49 kB
    xet
    End of training about 4 years ago