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Innovatewithapple
/
bert-dense-retriever

Feature Extraction
Transformers
Safetensors
English
bert_retriever
bert
dense-retrieval
semantic-search
information-retrieval
ms-marco
faiss
retrieval
Model card Files Files and versions
xet
Community

Instructions to use Innovatewithapple/bert-dense-retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Innovatewithapple/bert-dense-retriever with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Innovatewithapple/bert-dense-retriever")
    # Load model directly
    from transformers import BertRetriever
    model = BertRetriever.from_pretrained("Innovatewithapple/bert-dense-retriever", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-dense-retriever
439 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
Innovatewithapple's picture
Innovatewithapple
Update README.md
a626c6e verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    2.53 kB
    Update README.md 4 days ago
  • __init__.py
    0 Bytes
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  • config.json
    221 Bytes
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  • configuration_bert_retriever.py
    365 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modeling_bert_retriever.py
    1.4 kB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
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