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UKP-SQuARE
/
bert-base-uncased-pf-drop-onnx

Question Answering
Adapters
ONNX
English
bert
Model card Files Files and versions
xet
Community
1

Instructions to use UKP-SQuARE/bert-base-uncased-pf-drop-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Adapters

    How to use UKP-SQuARE/bert-base-uncased-pf-drop-onnx with Adapters:

    from adapters import AutoAdapterModel
    
    model = AutoAdapterModel.from_pretrained("undefined")
    model.load_adapter("UKP-SQuARE/bert-base-uncased-pf-drop-onnx", set_active=True)
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-pf-drop-onnx
551 MB
Ctrl+K
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  • 2 contributors
History: 48 commits
phlippseitz's picture
phlippseitz
librarian-bot's picture
librarian-bot
Librarian Bot: Update Hugging Face dataset ID (#1)
6f61bc0 verified about 2 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.27 kB
    Librarian Bot: Update Hugging Face dataset ID (#1) about 2 years ago
  • config.json
    2.06 kB
    Upload config.json with huggingface_hub over 3 years ago
  • model.onnx
    439 MB
    xet
    Upload model.onnx with huggingface_hub over 3 years ago
  • model_quant.onnx
    111 MB
    xet
    Upload model_quant.onnx with huggingface_hub over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload special_tokens_map.json with huggingface_hub over 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer.json with huggingface_hub over 3 years ago
  • tokenizer_config.json
    348 Bytes
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  • vocab.txt
    232 kB
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