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sgraham
/
met_model

Zero-Shot Image Classification
Transformers
PyTorch
clip
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use sgraham/met_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="sgraham/met_model")
    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("sgraham/met_model")
    model = AutoModelForZeroShotImageClassification.from_pretrained("sgraham/met_model")
  • Notebooks
  • Google Colab
  • Kaggle
met_model / 0_CLIPModel
607 MB
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  • 1 contributor
History: 1 commit
sgraham's picture
sgraham
Upload 7 files
b0f7648 over 2 years ago
  • config.json
    489 Bytes
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  • merges.txt
    525 kB
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  • preprocessor_config.json
    315 Bytes
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  • pytorch_model.bin
    605 MB
    xet
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  • special_tokens_map.json
    389 Bytes
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  • tokenizer_config.json
    604 Bytes
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  • vocab.json
    961 kB
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