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Sarmst
/
siglip2-bert

Feature Extraction
Transformers
TensorBoard
Safetensors
vision-text-dual-encoder
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Sarmst/siglip2-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sarmst/siglip2-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Sarmst/siglip2-bert")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Sarmst/siglip2-bert")
    model = AutoModel.from_pretrained("Sarmst/siglip2-bert")
  • Notebooks
  • Google Colab
  • Kaggle
siglip2-bert / runs
42.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
Sarmst's picture
Sarmst
End of training
67c653a verified 12 months ago
  • Jun09_23-30-40_krylov-ws-rc-hkbfnxxazg1felkugb4qk0oco4ykdebqdongetxaf60-zbbr4
    End of training 12 months ago
  • Jun11_21-07-07_krylov-ws-rc-zhbv1x9wqubvyv3gih-jjzq9iuxjblrvtyrcc76w7bw-4xh5b
    Training in progress, step 1500 12 months ago
  • Jun11_23-22-26_krylov-ws-rc-zhbv1x9wqubvyv3gih-jjzq9iuxjblrvtyrcc76w7bw-4xh5b
    Training in progress, step 500 12 months ago
  • Jun11_23-24-41_krylov-ws-rc-zhbv1x9wqubvyv3gih-jjzq9iuxjblrvtyrcc76w7bw-4xh5b
    Training in progress, step 1000 12 months ago
  • Jun12_17-05-59_krylov-ws-rc-xm7qizwvte-ts49k-walw4ckotairpqp874niwgpirk-8tgd2
    Training in progress, step 2000 12 months ago
  • Jun12_18-00-10_krylov-ws-rc-xm7qizwvte-ts49k-walw4ckotairpqp874niwgpirk-dvz9l
    End of training 12 months ago