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AbstractPhil
/
captionbert-8192-v2-b

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-b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-v2-b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2-b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
captionbert-8192-v2-b / deep-arm
26 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AbstractPhil's picture
AbstractPhil
deep-arm: certified 8-task bench (engaged mode)
a156c4b verified about 18 hours ago
  • deep1_arm_s0.pt
    26 MB
    xet
    deep-1: longformer depth arm about 18 hours ago
  • deep1_results.json
    814 Bytes
    deep-1: longformer depth arm about 18 hours ago
  • deep_arm_bench.json
    1.31 kB
    deep-arm: certified 8-task bench (engaged mode) about 18 hours ago