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Junchong-Huang
/
CLIP

Zero-Shot Image Classification
Transformers
google-tensorflow TensorFlow
clip
Model card Files Files and versions
xet
Community

Instructions to use Junchong-Huang/CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Junchong-Huang/CLIP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="Junchong-Huang/CLIP")
    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("Junchong-Huang/CLIP")
    model = AutoModelForZeroShotImageClassification.from_pretrained("Junchong-Huang/CLIP")
  • Notebooks
  • Google Colab
  • Kaggle
CLIP
606 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Junchong-Huang's picture
Junchong-Huang
CLIP epoch-2-val_loss-0.584773063659668
9607cbd almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    26 Bytes
    initial commit almost 3 years ago
  • config.json
    4.52 kB
    CLIP epoch-2-val_loss-0.584773063659668 almost 3 years ago
  • tf_model.h5
    606 MB
    xet
    CLIP epoch-2-val_loss-0.584773063659668 almost 3 years ago