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fesvhtr
/
RC-B32-READ

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

Instructions to use fesvhtr/RC-B32-READ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fesvhtr/RC-B32-READ with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="fesvhtr/RC-B32-READ")
    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("fesvhtr/RC-B32-READ")
    model = AutoModelForZeroShotImageClassification.from_pretrained("fesvhtr/RC-B32-READ")
  • Notebooks
  • Google Colab
  • Kaggle
RC-B32-READ
609 MB
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  • 1 contributor
History: 3 commits
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fesvhtr
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76e1a75 verified 15 days ago
  • .gitattributes
    1.52 kB
    initial commit 15 days ago
  • README.md
    5.17 kB
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  • config.json
    562 Bytes
    Copy weights from fesvhtr/clip-r-b32-s1-read 15 days ago
  • model.safetensors
    605 MB
    xet
    Copy weights from fesvhtr/clip-r-b32-s1-read 15 days ago
  • processor_config.json
    653 Bytes
    Upload processor 15 days ago
  • tokenizer.json
    3.64 MB
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  • tokenizer_config.json
    374 Bytes
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