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AbstractPhil
/
captionbert-8192-v2

Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_v2
sentence-similarity
consensus-distillation
geometric-deep-learning
amoe
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use AbstractPhil/captionbert-8192-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AbstractPhil/captionbert-8192-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-v2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
captionbert-8192-v2 / checkpoints
5.37 GB
Ctrl+K
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  • 1 contributor
History: 10 commits
AbstractPhil's picture
AbstractPhil
final (checkpoints)
ffc8b95 verified about 21 hours ago
  • tokenizer
    final (checkpoints) 1 day ago
  • best_model.pt
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    xet
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  • metrics.json
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  • state.pt
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