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lewtun
/
tiny-clip-test

Zero-Shot Image Classification
Transformers
PyTorch
clip
Model card Files Files and versions
xet
Community
3

Instructions to use lewtun/tiny-clip-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lewtun/tiny-clip-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="lewtun/tiny-clip-test")
    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("lewtun/tiny-clip-test")
    model = AutoModelForZeroShotImageClassification.from_pretrained("lewtun/tiny-clip-test")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-clip-test / onnx
Ctrl+K
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  • 1 contributor
History: 1 commit
RainbowPiBubbles's picture
RainbowPiBubbles
Adding ONNX file of this model
0e24684 verified about 1 year ago
  • config.json
    1.24 kB
    Adding ONNX file of this model about 1 year ago
  • merges.txt
    525 kB
    Adding ONNX file of this model about 1 year ago
  • model.onnx
    6.87 MB
    xet
    Adding ONNX file of this model about 1 year ago
  • preprocessor_config.json
    501 Bytes
    Adding ONNX file of this model about 1 year ago
  • special_tokens_map.json
    588 Bytes
    Adding ONNX file of this model about 1 year ago
  • tokenizer.json
    3.64 MB
    Adding ONNX file of this model about 1 year ago
  • tokenizer_config.json
    912 Bytes
    Adding ONNX file of this model about 1 year ago
  • vocab.json
    862 kB
    Adding ONNX file of this model about 1 year ago