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vinid
/
plip

Zero-Shot Image Classification
Transformers
PyTorch
clip
Model card Files Files and versions
xet
Community
5

Instructions to use vinid/plip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vinid/plip with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="vinid/plip")
    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("vinid/plip")
    model = AutoModelForZeroShotImageClassification.from_pretrained("vinid/plip")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Easy evaluation of the zero-shot capabilities of plip

#5 opened about 2 years ago by
fhvilshoj

Adding `safetensors` variant of this model

#4 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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