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hf-internal-testing
/
tiny-random-ChineseCLIPModel

Zero-Shot Image Classification
Transformers
PyTorch
chinese_clip
Model card Files Files and versions
xet
Community
1

Instructions to use hf-internal-testing/tiny-random-ChineseCLIPModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-ChineseCLIPModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="hf-internal-testing/tiny-random-ChineseCLIPModel")
    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("hf-internal-testing/tiny-random-ChineseCLIPModel")
    model = AutoModelForZeroShotImageClassification.from_pretrained("hf-internal-testing/tiny-random-ChineseCLIPModel")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-ChineseCLIPModel
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  • 1 contributor
History: 1 commit
sgugger's picture
sgugger
initial commit
37dae8a about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago