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razent
/
spbert-mlm-base

Question Answering
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
code
bert
fill-mask
knowledge-graph
Model card Files Files and versions
xet
Community
1

Instructions to use razent/spbert-mlm-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use razent/spbert-mlm-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="razent/spbert-mlm-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("razent/spbert-mlm-base")
    model = AutoModelForMaskedLM.from_pretrained("razent/spbert-mlm-base")
  • Notebooks
  • Google Colab
  • Kaggle
spbert-mlm-base
1.39 GB
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  • 2 contributors
History: 4 commits
razent's picture
razent
Update README.md
e98ed8a about 4 years ago
  • .gitattributes
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  • config.json
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  • flax_model.msgpack
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

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  • tf_model.h5
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  • vocab.txt
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