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smeoni
/
nbme-deberta-V3-large

Fill-Mask
Transformers
PyTorch
deberta-v2
Model card Files Files and versions
xet
Community
1

Instructions to use smeoni/nbme-deberta-V3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smeoni/nbme-deberta-V3-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="smeoni/nbme-deberta-V3-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("smeoni/nbme-deberta-V3-large")
    model = AutoModelForMaskedLM.from_pretrained("smeoni/nbme-deberta-V3-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nbme-deberta-V3-large
1.74 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
smeoni's picture
smeoni
add tokenizer
0887786 over 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • added_tokens.json
    18 Bytes
    add tokenizer over 4 years ago
  • config.json
    869 Bytes
    add model over 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?

    1.74 GB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    156 Bytes
    add tokenizer over 4 years ago
  • spm.model
    2.46 MB
    xet
    add tokenizer over 4 years ago
  • tokenizer_config.json
    369 Bytes
    add tokenizer over 4 years ago