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howey
/
bert-base-uncased-boolq

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use howey/bert-base-uncased-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use howey/bert-base-uncased-boolq with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="howey/bert-base-uncased-boolq")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("howey/bert-base-uncased-boolq")
    model = AutoModelForSequenceClassification.from_pretrained("howey/bert-base-uncased-boolq")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-boolq
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Ubuntu
initial upload
dc6722b almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • config.json
    619 Bytes
    initial upload almost 5 years ago
  • eval_results.txt
    280 Bytes
    initial upload almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    438 MB
    xet
    initial upload almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    initial upload almost 5 years ago
  • tokenizer_config.json
    300 Bytes
    initial upload almost 5 years ago
  • training_args.bin

    Detected Pickle imports (1)

    • "argparse.Namespace"

    How to fix it?

    879 Bytes
    xet
    initial upload almost 5 years ago
  • training_args.json
    403 Bytes
    initial upload almost 5 years ago
  • vocab.txt
    232 kB
    initial upload almost 5 years ago