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tanganke
/
clip-vit-base-patch32_oxford-iiit-pet

Feature Extraction
Transformers
TensorBoard
Safetensors
clip_vision_model
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use tanganke/clip-vit-base-patch32_oxford-iiit-pet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tanganke/clip-vit-base-patch32_oxford-iiit-pet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="tanganke/clip-vit-base-patch32_oxford-iiit-pet")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("tanganke/clip-vit-base-patch32_oxford-iiit-pet")
    model = AutoModel.from_pretrained("tanganke/clip-vit-base-patch32_oxford-iiit-pet")
  • Notebooks
  • Google Colab
  • Kaggle
clip-vit-base-patch32_oxford-iiit-pet
350 MB
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  • 1 contributor
History: 3 commits
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tanganke
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  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    406 Bytes
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  • config.json
    558 Bytes
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  • events.out.tfevents.1733995624.amax.1917161.0
    196 kB
    xet
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  • image.png
    110 kB
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  • model.safetensors
    350 MB
    xet
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