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Bazaar
/
cv_canal_pollution_level

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use Bazaar/cv_canal_pollution_level with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Bazaar/cv_canal_pollution_level")
    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_canal_pollution_level")
    model = AutoModelForImageClassification.from_pretrained("Bazaar/cv_canal_pollution_level")
  • Notebooks
  • Google Colab
  • Kaggle
cv_canal_pollution_level / images
425 kB
Ctrl+K
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  • 3 contributors
History: 5 commits
Bazzar's picture
Bazzar
Upload heavy_pollution.webp
d37d44f over 2 years ago
  • heavy_pollution.webp
    20.5 kB
    Upload heavy_pollution.webp over 2 years ago
  • light_pollution.jpg
    340 kB
    xet
    commit files to HF hub over 2 years ago
  • moderate_pollution.jpg
    40.9 kB
    xet
    commit files to HF hub over 2 years ago
  • no_pollution.jpg
    24.3 kB
    xet
    Upload no_pollution.jpg over 2 years ago