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arpanl
/
Fine-Tuned_Model

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

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

  • Libraries
  • Transformers

    How to use arpanl/Fine-Tuned_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="arpanl/Fine-Tuned_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/Fine-Tuned_Model")
    model = AutoModelForImageClassification.from_pretrained("arpanl/Fine-Tuned_Model")
  • Notebooks
  • Google Colab
  • Kaggle
Fine-Tuned_Model / runs /Feb07_12-24-50_8977fbbee6f1
6.55 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
arpanl's picture
arpanl
Model save
ab23378 verified about 2 years ago
  • events.out.tfevents.1707308701.8977fbbee6f1.9585.0
    6.55 kB
    xet
    Model save about 2 years ago