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ydshieh
/
clip-vit-base-patch32

Summarization
Transformers
google-tensorflow TensorFlow
English
clip
zero-shot-image-classification
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="ydshieh/clip-vit-base-patch32")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("ydshieh/clip-vit-base-patch32")
    model = AutoModelForZeroShotImageClassification.from_pretrained("ydshieh/clip-vit-base-patch32")
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#1 opened over 3 years ago by
autoevaluator
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