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arpanl
/
finetuned_model

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use arpanl/finetuned_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="arpanl/finetuned_model")
    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("arpanl/finetuned_model")
    model = AutoModelForImageClassification.from_pretrained("arpanl/finetuned_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned_model / runs
92.7 kB
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  • 1 contributor
History: 1 commit
arpanl's picture
arpanl
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