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pykale
/
MeDSLIP

Zero-Shot Image Classification
Transformers
English
medical
multimodal
vision-language pre-training
chest x-ray
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use pykale/MeDSLIP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="pykale/MeDSLIP")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("pykale/MeDSLIP", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MeDSLIP / Sample_zero-shot_Classification_CXR14 /data_sample
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  • 2 contributors
History: 1 commit
wenruifan's picture
wenruifan
Upload 115 files
a256709 verified almost 2 years ago
  • test.csv
    2.59 MB
    Upload 115 files almost 2 years ago