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AbstractPhil
/
captionbert-8192-rotary

Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_structured_rotary
sentence-similarity
consensus-distillation
rotary-embeddings
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use AbstractPhil/captionbert-8192-rotary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AbstractPhil/captionbert-8192-rotary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-rotary", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-rotary", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
captionbert-8192-rotary / figures
386 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
AbstractPhil's picture
AbstractPhil
Publish full structured rotary report, final model card, all results and tested serving release
e349b70 verified about 12 hours ago
  • structured_larger.png
    127 kB
    xet
    Publish full structured rotary report, final model card, all results and tested serving release about 12 hours ago
  • structured_larger.svg
    31.5 kB
    Publish full structured rotary report, final model card, all results and tested serving release about 12 hours ago
  • structured_screen.png
    185 kB
    xet
    Publish full structured rotary report, final model card, all results and tested serving release about 12 hours ago
  • structured_screen.svg
    42.7 kB
    Publish full structured rotary report, final model card, all results and tested serving release about 12 hours ago