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Bazaar
/
cv_construction_vehicle_identification

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

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

  • Libraries
  • Transformers

    How to use Bazaar/cv_construction_vehicle_identification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Bazaar/cv_construction_vehicle_identification")
    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("Bazaar/cv_construction_vehicle_identification")
    model = AutoModelForImageClassification.from_pretrained("Bazaar/cv_construction_vehicle_identification")
  • Notebooks
  • Google Colab
  • Kaggle
cv_construction_vehicle_identification / images
181 kB
Ctrl+K
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  • 3 contributors
History: 1 commit
Bazzar's picture
Bazzar
commit files to HF hub
c6e72b8 almost 3 years ago
  • bulldozer.jpg
    4.64 kB
    xet
    commit files to HF hub almost 3 years ago
  • crane.jpg
    18.5 kB
    xet
    commit files to HF hub almost 3 years ago
  • excavator.jpg
    25.3 kB
    xet
    commit files to HF hub almost 3 years ago
  • road_roller.jpg
    41.9 kB
    xet
    commit files to HF hub almost 3 years ago
  • transporters.jpg
    41.7 kB
    xet
    commit files to HF hub almost 3 years ago
  • wheel_loaders.jpg
    48.8 kB
    xet
    commit files to HF hub almost 3 years ago