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MITLL
/
LADI-v2-classifier-large-reference

Image Classification
Transformers
Safetensors
swinv2
LADI
Aerial Imagery
Disaster Response
Emergency Management
Model card Files Files and versions
xet
Community

Instructions to use MITLL/LADI-v2-classifier-large-reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MITLL/LADI-v2-classifier-large-reference with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="MITLL/LADI-v2-classifier-large-reference")
    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("MITLL/LADI-v2-classifier-large-reference")
    model = AutoModelForImageClassification.from_pretrained("MITLL/LADI-v2-classifier-large-reference")
  • Notebooks
  • Google Colab
  • Kaggle
LADI-v2-classifier-large-reference
781 MB
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  • 1 contributor
History: 5 commits
jeffliu-LL's picture
jeffliu-LL
Update README.md
acb094a verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.88 kB
    Update README.md about 2 years ago
  • config.json
    1.73 kB
    Upload Swinv2ForImageClassification about 2 years ago
  • model.safetensors
    781 MB
    xet
    Upload Swinv2ForImageClassification about 2 years ago
  • preprocessor_config.json
    337 Bytes
    Upload processor about 2 years ago