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merve
/
VeCap-DFN-h14

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

Instructions to use merve/VeCap-DFN-h14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use merve/VeCap-DFN-h14 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="merve/VeCap-DFN-h14")
    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("merve/VeCap-DFN-h14")
    model = AutoModelForZeroShotImageClassification.from_pretrained("merve/VeCap-DFN-h14")
  • Notebooks
  • Google Colab
  • Kaggle
VeCap-DFN-h14
3.88 GB
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  • 1 contributor
History: 2 commits
merve's picture
merve HF Staff
Upload 2 files
a2e645b verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    116 Bytes
    initial commit about 2 years ago
  • config.json
    696 Bytes
    Upload 2 files about 2 years ago
  • model.safetensors
    3.88 GB
    xet
    Upload 2 files about 2 years ago