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holyspark
/
Moto_Classification_v2

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

Instructions to use holyspark/Moto_Classification_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use holyspark/Moto_Classification_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="holyspark/Moto_Classification_v2")
    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("holyspark/Moto_Classification_v2")
    model = AutoModelForImageClassification.from_pretrained("holyspark/Moto_Classification_v2")
  • Notebooks
  • Google Colab
  • Kaggle
Moto_Classification_v2 / images
210 kB
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  • 1 contributor
History: 1 commit
holyspark's picture
holyspark
commit files to HF hub
e35e1e6 almost 2 years ago
  • BMW_Motos.jpg
    39.4 kB
    xet
    commit files to HF hub almost 2 years ago
  • Benz_Motos.jpg
    44.7 kB
    xet
    commit files to HF hub almost 2 years ago
  • Hyundai_Motos.jpg
    40.5 kB
    xet
    commit files to HF hub almost 2 years ago
  • Kia_Motos.jpg
    33.8 kB
    xet
    commit files to HF hub almost 2 years ago
  • Toyoda_Motos.jpg
    51.4 kB
    xet
    commit files to HF hub almost 2 years ago