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namelessai
/
Crashly

Image Classification
Transformers
LiteRT
MobileNetV2
accident-detection
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use namelessai/Crashly with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="namelessai/Crashly")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("namelessai/Crashly", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Crashly
8.87 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
namelessai's picture
namelessai
Update README.md
3d5d1af verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • Crashly.tflite
    8.87 MB
    xet
    Upload 2 files over 1 year ago
  • README.md
    1.41 kB
    Update README.md over 1 year ago
  • metadata.csv
    80 Bytes
    Upload 2 files over 1 year ago