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voidism
/
EAR

Question Answering
Transformers
English
information-retrieval
reranking
query-expansion
bm25
deberta-v3
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use voidism/EAR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="voidism/EAR")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("voidism/EAR", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EAR
5.69 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
voidism's picture
voidism
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42f2cfa verified 3 days ago
  • best_nq
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  • .gitattributes
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  • README.md
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  • SOURCE_MANIFEST.sha256
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