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sugiv
/
stablebridge-pruner-highlighter

Text Classification
Transformers
English
sentence-pruning
highlighting
rag
regulatory
stablecoin
context-compression
bge-reranker
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use sugiv/stablebridge-pruner-highlighter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sugiv/stablebridge-pruner-highlighter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sugiv/stablebridge-pruner-highlighter")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sugiv/stablebridge-pruner-highlighter", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stablebridge-pruner-highlighter
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
sugiv's picture
sugiv
Add library requirements and UNEXPECTED/MISSING key explanations
62a3b2e verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    16.5 kB
    Add library requirements and UNEXPECTED/MISSING key explanations 2 months ago
  • best.pt

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    6.31 MB
    xet
    Upload best.pt with huggingface_hub 2 months ago
  • config.yaml
    884 Bytes
    Upload config.yaml with huggingface_hub 2 months ago
  • requirements.txt
    93 Bytes
    Upload requirements.txt with huggingface_hub 2 months ago
  • train_pruner_sentence_v2.py
    13.3 kB
    Upload train_pruner_sentence_v2.py with huggingface_hub 2 months ago
  • training_config.yaml
    839 Bytes
    Upload training_config.yaml with huggingface_hub 2 months ago