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ljnlonoljpiljm
/
background-classifier

Image Classification
Transformers
Safetensors
siglip
Model card Files Files and versions
xet
Community

Instructions to use ljnlonoljpiljm/background-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ljnlonoljpiljm/background-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ljnlonoljpiljm/background-classifier")
    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("ljnlonoljpiljm/background-classifier")
    model = AutoModelForImageClassification.from_pretrained("ljnlonoljpiljm/background-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
background-classifier
372 MB
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  • 1 contributor
History: 3 commits
ljnlonoljpiljm's picture
ljnlonoljpiljm
Upload processor
a599e42 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Upload SiglipForImageClassification 3 months ago
  • config.json
    1.2 kB
    Upload SiglipForImageClassification 3 months ago
  • model.safetensors
    372 MB
    xet
    Upload SiglipForImageClassification 3 months ago
  • preprocessor_config.json
    367 Bytes
    Upload processor 3 months ago