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prithivMLmods
/
Traffic-Density-Classification

Image Classification
Transformers
Safetensors
English
siglip
traffic
dense
classification
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/Traffic-Density-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prithivMLmods/Traffic-Density-Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="prithivMLmods/Traffic-Density-Classification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageClassification
    
    processor = AutoProcessor.from_pretrained("prithivMLmods/Traffic-Density-Classification")
    model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Traffic-Density-Classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Traffic-Density-Classification
3.55 GB
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  • 1 contributor
History: 4 commits
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