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smeoni
/
nbme-roberta-base

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

Instructions to use smeoni/nbme-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smeoni/nbme-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="smeoni/nbme-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("smeoni/nbme-roberta-base")
    model = AutoModelForMaskedLM.from_pretrained("smeoni/nbme-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
nbme-roberta-base
502 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
smeoni's picture
smeoni
add tokenizer
35539a9 about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • config.json
    672 Bytes
    add model about 4 years ago
  • merges.txt
    456 kB
    add tokenizer about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    349 Bytes
    add tokenizer about 4 years ago
  • vocab.json
    798 kB
    add tokenizer about 4 years ago