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gnumanth
/
nullspan

Question Answering
Transformers
ONNX
Safetensors
nullspan
feature-extraction
system-one
typed-decisions
jevbench
structured-extraction
span-extraction
calibrated-estimation
electra
modernbert
custom_code
Eval Results
Model card Files Files and versions
xet
Community
1

Instructions to use gnumanth/nullspan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gnumanth/nullspan with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="gnumanth/nullspan", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("gnumanth/nullspan", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nullspan / systemone
795 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
gnumanth's picture
gnumanth
Release nullspan v1.3.0: 395M 8K Tree-Isolated Parallel-Span System One (79.00% Typed Decisions, 0.0760 KL, 0.0420 Brier, 100% JevBench Easy)
51acf9e verified about 17 hours ago
  • config.json
    1.41 kB
    Release nullspan v1.3.0: 395M 8K Tree-Isolated Parallel-Span System One (79.00% Typed Decisions, 0.0760 KL, 0.0420 Brier, 100% JevBench Easy) about 17 hours ago
  • model.safetensors
    792 MB
    xet
    Release nullspan v1.3.0: 395M 8K Tree-Isolated Parallel-Span System One (79.00% Typed Decisions, 0.0760 KL, 0.0420 Brier, 100% JevBench Easy) about 17 hours ago
  • special_tokens_map.json
    694 Bytes
    Release nullspan v1.3.0: 395M 8K Tree-Isolated Parallel-Span System One (79.00% Typed Decisions, 0.0760 KL, 0.0420 Brier, 100% JevBench Easy) about 17 hours ago
  • tokenizer.json
    3.58 MB
    Release nullspan v1.3.0: 395M 8K Tree-Isolated Parallel-Span System One (79.00% Typed Decisions, 0.0760 KL, 0.0420 Brier, 100% JevBench Easy) about 17 hours ago
  • tokenizer_config.json
    20.8 kB
    Release nullspan v1.3.0: 395M 8K Tree-Isolated Parallel-Span System One (79.00% Typed Decisions, 0.0760 KL, 0.0420 Brier, 100% JevBench Easy) about 17 hours ago