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clinteroni
/
vit-chest-xray-grandslam-lora

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

Instructions to use clinteroni/vit-chest-xray-grandslam-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use clinteroni/vit-chest-xray-grandslam-lora with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="clinteroni/vit-chest-xray-grandslam-lora")
    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("clinteroni/vit-chest-xray-grandslam-lora")
    model = AutoModelForImageClassification.from_pretrained("clinteroni/vit-chest-xray-grandslam-lora")
  • Notebooks
  • Google Colab
  • Kaggle
vit-chest-xray-grandslam-lora
348 MB
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  • 1 contributor
History: 3 commits
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clinteroni
Upload model
aca33a0 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload ViTForImageClassification 9 months ago
  • adapter_config.json
    985 Bytes
    Upload model 9 months ago
  • adapter_model.safetensors
    2.41 MB
    xet
    Upload model 9 months ago
  • config.json
    1.34 kB
    Upload ViTForImageClassification 9 months ago
  • model.safetensors
    346 MB
    xet
    Upload ViTForImageClassification 9 months ago