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bep256
/
clip-tags

Zero-Shot Image Classification
PerceptionEncoder
clip
siglip
image-tagging
Model card Files Files and versions
xet
Community

Instructions to use bep256/clip-tags with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PerceptionEncoder

    How to use bep256/clip-tags with PerceptionEncoder:

    # Use any PE model as a vision encoder
    import core.vision_encoder.pe as pe
    
    model = pe.VisionTransformer.from_config("bep256/clip-tags", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
clip-tags
582 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
bep256's picture
bep256
Add PE Core B/16 and L/14 tags; rename vocabulary
1973bb7 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    6.45 kB
    Add PE Core B/16 and L/14 tags; rename vocabulary 5 days ago
  • facebook--PE-Core-B16-224.safetensors
    129 MB
    xet
    Add PE Core B/16 and L/14 tags; rename vocabulary 5 days ago
  • facebook--PE-Core-L14-336.safetensors
    129 MB
    xet
    Add PE Core B/16 and L/14 tags; rename vocabulary 5 days ago
  • facebook--metaclip-2-worldwide-b16.safetensors
    64.5 MB
    xet
    Add simple tags 10 days ago
  • facebook--metaclip-2-worldwide-b32.safetensors
    64.5 MB
    xet
    Add simple tags 10 days ago
  • facebook--metaclip-2-worldwide-l14.safetensors
    96.7 MB
    xet
    Add simple tags 10 days ago
  • google--siglip2-base-patch16-256.safetensors
    96.7 MB
    xet
    Add simple tags 10 days ago
  • vocabulary
    1.93 MB
    Add PE Core B/16 and L/14 tags; rename vocabulary 5 days ago