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AvitoTech
/
SigLIP2-Base-for-animal-identification

Image Feature Extraction
Transformers
Safetensors
siglip
zero-shot-image-classification
siglip2
vision
image-embeddings
pet-recognition
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use AvitoTech/SigLIP2-Base-for-animal-identification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="AvitoTech/SigLIP2-Base-for-animal-identification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("AvitoTech/SigLIP2-Base-for-animal-identification")
    model = AutoModelForZeroShotImageClassification.from_pretrained("AvitoTech/SigLIP2-Base-for-animal-identification")
  • Notebooks
  • Google Colab
  • Kaggle
SigLIP2-Base-for-animal-identification
1.5 GB
Ctrl+K
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  • 3 contributors
History: 4 commits
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AvitoTech1
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korallll
Update README.md (#2)
1166614 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    8.07 kB
    Update README.md (#2) 4 months ago
  • config.json
    546 Bytes
    Upload 3 files 5 months ago
  • model.safetensors
    1.5 GB
    xet
    Upload 3 files 5 months ago