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xdai
/
mimic_roberta_base

Fill-Mask
Transformers
PyTorch
roberta
Clinical notes
Discharge summaries
RoBERTa
Model card Files Files and versions
xet
Community
2

Instructions to use xdai/mimic_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xdai/mimic_roberta_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="xdai/mimic_roberta_base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("xdai/mimic_roberta_base")
    model = AutoModelForMaskedLM.from_pretrained("xdai/mimic_roberta_base")
  • Notebooks
  • Google Colab
  • Kaggle
mimic_roberta_base
999 MB
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  • 2 contributors
History: 6 commits
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SFconvertbot
Adding `safetensors` variant of this model
6202a4c verified over 1 year ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    623 Bytes
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  • config.json
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    upload files almost 4 years ago
  • trainer_state.json
    9.09 kB
    upload files almost 4 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "dainlp.utils.args.TrainingArguments",
    • "torch.device"

    How to fix it?

    1.39 kB
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    upload files almost 4 years ago
  • vocab.json
    899 kB
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