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AvitoTech
/
SigLIP2-giant-e5small-v2-gating

Feature Extraction
Transformers
Safetensors
siglip
zero-shot-image-classification
siglip2
vision
text
clip
multimodal
image-text-embeddings
pet-recognition
Model card Files Files and versions
xet
Community
1

Instructions to use AvitoTech/SigLIP2-giant-e5small-v2-gating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AvitoTech/SigLIP2-giant-e5small-v2-gating with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AvitoTech/SigLIP2-giant-e5small-v2-gating")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("AvitoTech/SigLIP2-giant-e5small-v2-gating")
    model = AutoModelForZeroShotImageClassification.from_pretrained("AvitoTech/SigLIP2-giant-e5small-v2-gating")
  • Notebooks
  • Google Colab
  • Kaggle
SigLIP2-giant-e5small-v2-gating
7.63 GB
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  • 2 contributors
History: 3 commits
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AvitoTech1
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korallll
Update README.md (#1)
71143ce verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    10.6 kB
    Update README.md (#1) 4 months ago
  • config.json
    1.21 kB
    Upload 3 files 5 months ago
  • model.safetensors
    7.63 GB
    xet
    Upload 3 files 5 months ago