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deepghs
/
clip_onnx

Zero-Shot Classification
ONNX
Transformers
English
dghs-realutils
clip
image
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use deepghs/clip_onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="deepghs/clip_onnx")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("deepghs/clip_onnx", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
clip_onnx / openai /clip-vit-base-patch16
603 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
narugo1992
Export model 'openai/clip-vit-base-patch16', on 2025-01-29 03:22:38 JST
bf58d41 verified over 1 year ago
  • image_encode.onnx
    345 MB
    xet
    Export model 'openai/clip-vit-base-patch16', on 2025-01-29 03:22:38 JST over 1 year ago
  • meta.json
    444 Bytes
    xet
    Export model 'openai/clip-vit-base-patch16', on 2025-01-29 03:22:38 JST over 1 year ago
  • preprocessor.json
    826 Bytes
    xet
    Export model 'openai/clip-vit-base-patch16', on 2025-01-29 03:22:38 JST over 1 year ago
  • text_encode.onnx
    254 MB
    xet
    Export model 'openai/clip-vit-base-patch16', on 2025-01-29 03:22:38 JST over 1 year ago
  • tokenizer.json
    3.64 MB
    xet
    Export model 'openai/clip-vit-base-patch16', on 2025-01-29 03:22:38 JST over 1 year ago