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OpenMed
/
OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1

Token Classification
Transformers
Safetensors
PyTorch
Arabic
distilbert
ner
pii
pii-detection
de-identification
privacy
healthcare
medical
clinical
phi
arabic
openmed
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use OpenMed/OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenMed/OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="OpenMed/OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1")
    model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
OpenMed-PII-Turkish-mLiteClinical-Base-135M-v1
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  • 1 contributor
History: 1 commit
MaziyarPanahi's picture
MaziyarPanahi
initial commit
115a68e verified 2 months ago
  • .gitattributes
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    initial commit 2 months ago