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Armaggheddon
/
clip-vit-base-patch32_lego-brick

Zero-Shot Classification
Transformers
Safetensors
English
clip
zero-shot-image-classification
Model card Files Files and versions
xet
Community

Instructions to use Armaggheddon/clip-vit-base-patch32_lego-brick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Armaggheddon/clip-vit-base-patch32_lego-brick with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="Armaggheddon/clip-vit-base-patch32_lego-brick")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("Armaggheddon/clip-vit-base-patch32_lego-brick")
    model = AutoModelForZeroShotImageClassification.from_pretrained("Armaggheddon/clip-vit-base-patch32_lego-brick")
  • Notebooks
  • Google Colab
  • Kaggle
clip-vit-base-patch32_lego-brick
617 MB
Ctrl+K
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  • 2 contributors
History: 11 commits
Armaggheddon's picture
Armaggheddon
Updated links
b15dcdd verified 9 months ago
  • images
    Web ui demo over 1 year ago
  • .gitattributes
    1.59 kB
    Web ui demo over 1 year ago
  • README.md
    14.4 kB
    Updated links 9 months ago
  • config.json
    535 Bytes
    Initial commit over 1 year ago
  • merges.txt
    525 kB
    Initial commit over 1 year ago
  • model.safetensors
    605 MB
    xet
    Initial commit over 1 year ago
  • preprocessor_config.json
    504 Bytes
    Initial commit over 1 year ago
  • special_tokens_map.json
    588 Bytes
    Initial commit over 1 year ago
  • tokenizer.json
    3.64 MB
    Initial commit over 1 year ago
  • tokenizer_config.json
    964 Bytes
    Initial commit over 1 year ago
  • vocab.json
    862 kB
    Initial commit over 1 year ago