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nzs234
/
siglip2-so400m-aesthetic-scorer-v1

Image Classification
Transformers
Safetensors
aesthetic-scoring
siglip2
custom-code
Model card Files Files and versions
xet
Community

Instructions to use nzs234/siglip2-so400m-aesthetic-scorer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nzs234/siglip2-so400m-aesthetic-scorer-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nzs234/siglip2-so400m-aesthetic-scorer-v1")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nzs234/siglip2-so400m-aesthetic-scorer-v1", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
siglip2-so400m-aesthetic-scorer-v1
4.56 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
nzs234's picture
nzs234
Upload standalone local aesthetic bundle (SigLIP2 + head)
081eb5b verified 3 months ago
  • backbone
    Upload standalone local aesthetic bundle (SigLIP2 + head) 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    673 Bytes
    Upload standalone local aesthetic bundle (SigLIP2 + head) 3 months ago
  • head.safetensors
    14.4 MB
    xet
    Upload standalone local aesthetic bundle (SigLIP2 + head) 3 months ago
  • metadata.json
    472 Bytes
    Upload standalone local aesthetic bundle (SigLIP2 + head) 3 months ago