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Intel
/
bert-base-uncased-sparse-1_2

Transformers
PyTorch
English
bert
pretraining
Model card Files Files and versions
xet
Community
1

Instructions to use Intel/bert-base-uncased-sparse-1_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Intel/bert-base-uncased-sparse-1_2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-sparse-1_2")
    model = AutoModelForPreTraining.from_pretrained("Intel/bert-base-uncased-sparse-1_2")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-sparse-1_2
441 MB
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  • 1 contributor
History: 5 commits
ofirzaf's picture
ofirzaf
Update README.md
eee4f16 almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
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  • config.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    441 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    269 Bytes
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  • vocab.txt
    232 kB
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