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RISys-Lab
/
ReasonSigLIP-So14-384-S1

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

Instructions to use RISys-Lab/ReasonSigLIP-So14-384-S1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RISys-Lab/ReasonSigLIP-So14-384-S1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="RISys-Lab/ReasonSigLIP-So14-384-S1")
    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("RISys-Lab/ReasonSigLIP-So14-384-S1")
    model = AutoModelForZeroShotImageClassification.from_pretrained("RISys-Lab/ReasonSigLIP-So14-384-S1")
  • Notebooks
  • Google Colab
  • Kaggle
ReasonSigLIP-So14-384-S1
1.76 GB
Ctrl+K
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  • 2 contributors
History: 9 commits
fesvhtr's picture
fesvhtr
docs: update usage model id namespace
b8f2ca2 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    1.02 kB
    docs: update usage model id namespace 3 days ago
  • config.json
    924 Bytes
    Copy weights from fesvhtr/siglip-r-s1-run0201-1280 2 months ago
  • model.safetensors
    1.76 GB
    xet
    Copy weights from fesvhtr/siglip-r-s1-run0201-1280 2 months ago
  • processor_config.json
    502 Bytes
    Upload processor 2 months ago
  • spiece.model
    798 kB
    xet
    Upload processor 2 months ago
  • tokenizer_config.json
    830 Bytes
    Upload processor 2 months ago