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flaviagiammarino
/
pubmed-clip-vit-base-patch32

Zero-Shot Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
clip
medical
vision
Model card Files Files and versions
xet
Community
3

Instructions to use flaviagiammarino/pubmed-clip-vit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use flaviagiammarino/pubmed-clip-vit-base-patch32 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="flaviagiammarino/pubmed-clip-vit-base-patch32")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("flaviagiammarino/pubmed-clip-vit-base-patch32")
    model = AutoModelForZeroShotImageClassification.from_pretrained("flaviagiammarino/pubmed-clip-vit-base-patch32", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pubmed-clip-vit-base-patch32 / scripts
74.7 kB
Ctrl+K
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  • 1 contributor
History: 13 commits
flaviagiammarino's picture
flaviagiammarino
Upload output.jpeg
b234e15 about 3 years ago
  • flax_example.py
    881 Bytes
    Update scripts/flax_example.py about 3 years ago
  • input.jpeg
    32 kB
    Upload input.jpeg about 3 years ago
  • output.jpeg
    37.5 kB
    Upload output.jpeg about 3 years ago
  • pt_example.py
    852 Bytes
    Update scripts/pt_example.py about 3 years ago
  • pt_model.py
    2.51 kB
    initial commit over 3 years ago
  • tf_example.py
    891 Bytes
    Update scripts/tf_example.py about 3 years ago