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NAACL2022
/
spider-nq-ctx-encoder

Transformers
PyTorch
dpr
Model card Files Files and versions
xet
Community

Instructions to use NAACL2022/spider-nq-ctx-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NAACL2022/spider-nq-ctx-encoder with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, DPRContextEncoder
    
    tokenizer = AutoTokenizer.from_pretrained("NAACL2022/spider-nq-ctx-encoder")
    model = DPRContextEncoder.from_pretrained("NAACL2022/spider-nq-ctx-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
spider-nq-ctx-encoder
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
oriram's picture
oriram
Create README.md
421284f almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.01 kB
    Create README.md almost 4 years ago
  • config.json
    597 Bytes
    add model almost 4 years ago
  • pytorch_model.bin
    438 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    466 kB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    332 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 4 years ago