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Aktsvigun
/
bert-base-pubmed

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Aktsvigun/bert-base-pubmed with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Aktsvigun/bert-base-pubmed")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bert-base-pubmed")
    model = AutoModelForMaskedLM.from_pretrained("Aktsvigun/bert-base-pubmed")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-pubmed
439 MB
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  • 1 contributor
History: 3 commits
Aktsvigun's picture
Aktsvigun
add tokenizer
6b737c3 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    771 Bytes
    add model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    466 kB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    428 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 4 years ago