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AvitoTech
/
SigLIP2-giant

Image Feature Extraction
Transformers
Safetensors
siglip
zero-shot-image-classification
siglip2
vision
clip
image-embeddings
pet-recognition
Model card Files Files and versions
xet
Community
4

Instructions to use AvitoTech/SigLIP2-giant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AvitoTech/SigLIP2-giant with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="AvitoTech/SigLIP2-giant")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("AvitoTech/SigLIP2-giant")
    model = AutoModelForZeroShotImageClassification.from_pretrained("AvitoTech/SigLIP2-giant", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SigLIP2-giant
7.49 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
AvitoTech1's picture
AvitoTech1
Slenser0's picture
Slenser0
Fix AutoModel loading, add image processor and Apache-2.0 license (#4)
91c0bb1 about 9 hours ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • LICENSE
    11.4 kB
    Fix AutoModel loading, add image processor and Apache-2.0 license (#4) about 9 hours ago
  • README.md
    7.52 kB
    Fix AutoModel loading, add image processor and Apache-2.0 license (#4) about 9 hours ago
  • config.json
    1.15 kB
    Fix AutoModel loading, add image processor and Apache-2.0 license (#4) about 9 hours ago
  • model.safetensors
    7.49 GB
    xet
    Fix AutoModel loading, add image processor and Apache-2.0 license (#4) about 9 hours ago
  • preprocessor_config.json
    394 Bytes
    Fix AutoModel loading, add image processor and Apache-2.0 license (#4) about 9 hours ago