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drift-ai
/
drawify-snapsearch

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

Instructions to use drift-ai/drawify-snapsearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use drift-ai/drawify-snapsearch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="drift-ai/drawify-snapsearch")
    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("drift-ai/drawify-snapsearch")
    model = AutoModelForZeroShotImageClassification.from_pretrained("drift-ai/drawify-snapsearch")
  • Notebooks
  • Google Colab
  • Kaggle
drawify-snapsearch
609 MB
Ctrl+K
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  • 2 contributors
History: 21 commits
Vincent Claes
re-add model 20240103-1
bda9824 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    5.18 kB
    Upload model over 2 years ago
  • config.json
    482 Bytes
    re-add model 20240103-1 over 2 years ago
  • merges.txt
    525 kB
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  • preprocessor_config.json
    556 Bytes
    re-add model 20240103-1 over 2 years ago
  • pytorch_model.bin
    605 MB
    xet
    re-add model 20240103-1 over 2 years ago
  • special_tokens_map.json
    588 Bytes
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  • tokenizer.json
    2.22 MB
    Upload processor over 2 years ago
  • tokenizer_config.json
    743 Bytes
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  • vocab.json
    862 kB
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