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sociocom
/
MedNER-CR-JA

Token Classification
Transformers
PyTorch
Safetensors
Japanese
bert
NER
medical documents
Model card Files Files and versions
xet
Community
3

Instructions to use sociocom/MedNER-CR-JA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sociocom/MedNER-CR-JA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="sociocom/MedNER-CR-JA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sociocom/MedNER-CR-JA")
    model = AutoModelForTokenClassification.from_pretrained("sociocom/MedNER-CR-JA")
  • Notebooks
  • Google Colab
  • Kaggle
MedNER-CR-JA
881 MB
Ctrl+K
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  • 5 contributors
History: 18 commits
shuntaroy's picture
shuntaroy
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
4c64fb0 about 3 years ago
  • .gitattributes
    1.39 kB
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • NER_medNLP.py
    9.34 kB
    Upload NER_medNLP.py almost 4 years ago
  • README.md
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  • config.json
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  • id_to_tags.pkl

    Pickle imports

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    What is a pickle import?

    620 Bytes
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  • key_attr.pkl

    Pickle imports

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  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • predict.py
    4.55 kB
    Update predict.py over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

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  • text.txt
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