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nebulette
/
tipsv2-b14-vision-module

Zero-Shot Image Classification
Transformers
Safetensors
tipsv2
feature-extraction
vision
contrastive-learning
zero-shot
custom_code
Model card Files Files and versions
xet

Instructions to use nebulette/tipsv2-b14-vision-module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nebulette/tipsv2-b14-vision-module with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="nebulette/tipsv2-b14-vision-module", trust_remote_code=True)
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nebulette/tipsv2-b14-vision-module", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tipsv2-b14-vision-module
346 MB
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  • 1 contributor
History: 6 commits
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nebulette
Update README.md
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  • .gitattributes
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  • README.md
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  • __init__.py
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  • config.json
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  • configuration_tips.py
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  • image_encoder.py
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  • model.safetensors
    345 MB
    xet
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  • modeling_tips.py
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