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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")
  • Notebooks
  • Google Colab
  • Kaggle
clip-vit-base-patch32
606 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ydshieh's picture
ydshieh HF Staff
Create README.md
57659f7 almost 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    4.35 kB
    Create README.md almost 4 years ago
  • config.json
    4.29 kB
    Upload config.json over 4 years ago
  • tf_model.h5
    606 MB
    xet
    Upload tf_model.h5 with git-lfs over 4 years ago