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malteos
/
specter-wol

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use malteos/specter-wol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use malteos/specter-wol with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="malteos/specter-wol")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("malteos/specter-wol")
    model = AutoModel.from_pretrained("malteos/specter-wol")
  • Notebooks
  • Google Colab
  • Kaggle

Replicated SPECTER model based on w/o leakage training corpus with seed=0. See Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.

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Paper for malteos/specter-wol

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Paper • 2202.06671 • Published Feb 14, 2022 • 2
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